Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

167

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

167 results for “Multicellularity”

Learn how ShareScore rates datasets ↗
zenodo40/100

Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in African American and European American patients with TNBC (Spatial Transcriptomic 10X Visium portion)

<p>Racial disparities in triple-negative breast cancer (TNBC) outcomes have been reported. However, the biological mechanisms underlying these disparities remain unclear. We integrated imaging mass cytometry and spatial transcriptomics, to characterize the tumor microenvironment (TME) of African American (AA) and European American (EA) patients with TNBC. The TME in AA patients was characterized by interactions between endothelial cells, macrophages, and mesenchymal-like cells, which were associated with poor patient survival. In contrast, the EA TNBC-associated niche is enriched in T-cells and neutrophils suggestive of an exhaustion and suppression of otherwise active T cell responses. Ligand-receptor and pathway analyses of race-associated niches found AA TNBC to be &ldquo;immune cold&rdquo; and hence immunotherapy resistant tumors, and EA TNBC as &lsquo;inflamed&rsquo; tumors that evolved a distinctive immunosuppressive mechanism. Our study revealed the presence of racially distinct tumor-promoting and immunosuppressive microenvironments in AA and EA patients with TNBC, which may explain the poor clinical outcomes.</p> <p>&nbsp;</p> <p>This dataset contains the 10X Visium Spatial Transcriptomic data of TNBC patients. There are two cohorts.</p> <p>&nbsp;</p> <p><strong>Baylor Scott and White (BSW) cohort</strong>: <strong>10x.visium.tar.gz</strong>, containing 10 patients with TNBC from Baylor Scott and White affiliated Hospital.&nbsp;</p> <p>Each sample is made of Space Ranger processed spot-separated gene expression data (processed to HDF5 AnnData file). There are also H&amp;E images, and spot coordinate files available.&nbsp;</p> <p>&nbsp;</p> <p>For&nbsp;<strong>Georgia validation cohort</strong>, 400 genes used for validation of ESG signatures (associated with BA-Community 1 and WA-Community-1) were obtained and provided by Ritu Aneja's lab. These 400 genes' spot-based expression data across Black and White TNBC patients are provided. See file&nbsp;<strong>georgia.validation.visium.tar.gz</strong>. Expression was normalized by total counts per spot, followed by log-normalization by Giotto.</p> <p>&nbsp;</p> <p>As well in our paper, we integrated a published racial TNBC cohort for deriving some of initial results in the paper. This refers to the Bassiouni et al (Cancer Research) paper in Carpten's group. <strong>GSM_giotto_processed.tar.gz</strong> refers to this dataset, which we deposit here. The data were normalized by Giotto using standard procedure.</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling

<p>Collection of auxiliary data to reproduce the results from "<strong>A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling</strong>". Source code is available at: https://github.com/saezlab/reheat2_pub<br><br>We provide processed data to facilitate access to the results, for the original count data, please see the associated manuscript for references to the original datasets.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Data from: Stochastic phenotypic switching arises in response to directional selection in experimentally evolved multicellular yeast.

<p><span lang="EN">This BBC_2025__README.txt file was generated on 2025-09-24 by Beatriz Baselga Cervera</span></p> <p><span lang="EN">GENERAL INFORMATION</span></p> <ol> <li><span lang="EN">Title of Dataset and code: Data from: Stochastic phenotypic switching arises in response to directional selection in experimentally evolved multicellular yeast.</span></li> </ol> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">2. Author Information</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Corresponding Investigator</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Name: Ph.D. Beatriz Baselga-Cervera</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Institution: University of Minnesota Twin cities, Minnesota, US.</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Email:&nbsp;<a href="mailto:bbaselga@umn.edu"><span>bbaselga@umn.edu</span></a>; beabaselga@gmail.com</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Co-investigator 1</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Name: Ph.D. Nahui <span>Olin Medina-Ch&aacute;vez</span></span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Institution: University of Minnesota Twin cities, Minnesota, US.</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Email: nmedinac@umn.edu</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Co-investigator 2</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Name: Ph.D. Noah Gettle</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Institution: Wellcome Sanger Institute, Hinxton, UK.</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Email: nbgettle@gmail.com </span></p> <p><span lang="EN">Co-investigator 3</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Name: Ph.D. Michael Travisano</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Institution: University of Minnesota Twin cities, Minnesota, US.</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Email: travisan@umn.edu</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">3. Data collectors: Ph.D. Beatriz Baselga-Cervera, Ph.D. Nahui Olin Medina-Ch&aacute;vez &amp; Ph.D. Noah Gettle.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">4. Date of data collection: 2022-2024</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">5. Geographic location of data collection: Saint Paul, US</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">6. Funding sources that supported the collection of the data: Fundaci&oacute;n Alfonso Mart&iacute;n Escudero, Madrid, Spain (BBC).</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">7. Recommended citation for this dataset: Baselga-Cervera et al. (2024), Data from: Stochastic phenotypic switching arises in response to directional selection in experimentally evolved multicellular yeast.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">DATA &amp; FILE OVERVIEW</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">8. Description of dataset</span></p> <p><span lang="EN">In this study, we address whether stochastic phenotypic switching can shape biological diversity contributing to evolutionary change across the transition from singles cells to multicellular clutters in <em>Saccharomyces cerevisiae </em>multicellular yeast system. Populations characterization was conducted with a Coulter Counter multisize 4, a FlowCam 3, under the optic microscope, via ACE2 gene sequencing and RNA sequencing and mathematical modeling. The populations studied were the genetically uniform diploid wild-type&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>). </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">9. File list:</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Coulter Counter size distribution data:&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 1 name:&nbsp; File_1_Coulter_Counter_Counts_20h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 1 description: Size distributions of&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockout, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD&nbsp;at 20-hours growth.&nbsp;Data for: Fig. 1A, Fig. 3A and Fig. S2, Table S2 and Table S3.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 2 name:&nbsp; File_2_Coulter_Counter_Counts_24h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 2 description: Size distributions of&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockout, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 24-hours growth.&nbsp;Data for: Fig. 1A, Fig. 3A, Fig. S2, Table S2 and Table S3. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 3 name:&nbsp; File_3_Coulter_Counter_Counts_48h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 3 description: Size distributions of&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockout, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD&nbsp;at 48-hours growth.&nbsp;Data for: Fig. 1, Fig. 3A, Fig. S2, Table S2 and Table S3.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File name:&nbsp; File_4_Coulter_Counter_Counts_Constructed_strains_diversity.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 4 description: Size distributions of the&nbsp;constructed ACE2 knockout and a strain containing the homozygous missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 24h growth.&nbsp;Size distributions were obtained from populations before (initial) and five resuspended colonies obtained from small-size particles by plating the top fraction of the population after gravitational selection from three isolates per strain. Data for: Fig. 1, Fig. S2, Table S2 and Table S3.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 5 name:&nbsp; File_5_Coulter_Counter_Counts_Selection_Experiment.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 5 description: Size distributions of C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains&nbsp;in YPD at 24h growth.&nbsp;Size distributions from the selection experiment for small-size particles by plating the top fraction of the population after gravitational selection over three cycles of selection. Data for: Fig. 2B and Fig. S6.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 6 name:&nbsp; File_6_Coulter_Counter_Counts_12h.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 6 description: Size distributions of C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockout, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 12-hours growth.&nbsp;Data for: Fig. 3A and Fig. S3. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">FlowCam data:</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 7 name:&nbsp;File_7_Rawdata_FlowCam_all.csv </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 7 description: FlowCam data from&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 c.1934 A&gt;T) in YPD at 24h growth.&nbsp;Data for: Fig. S4. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Data generated statistically:</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 8 name: File_8_C1W8.2_overlapPairs_Selection_Experiment.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 8 description: overlapping indexes (&eta;) of the KDE distributions were computed using the R-package &lsquo;overlapping&rsquo; from the&nbsp;Coulter Counter data of the C1W8.2 derived strain over the selection experiment. Data for: Fig. S6D.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 9 name: File_9_C1W8.1_overlapPairs_Selection_Experiment.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 9 description: overlapping indexes (&eta;) of the KDE distributions were computed using the R-package &lsquo;overlapping&rsquo; from the&nbsp;Coulter Counter data</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">of the C1W8.1 derived strain over the selection experiment. Data for: Fig. S6C.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 10 name: File_10_ overlapPairs_Constructed_strains_diversity.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 10 description: overlapping indexes (&eta;) of the KDE distributions were computed using the R-package &lsquo;overlapping&rsquo; from the&nbsp;Coulter Counter data</span></p> <p><span lang="EN">of the&nbsp;constructed ACE2 knockout and a strain containing the homozygous missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 24h growth.&nbsp;Size distributions were obtained from populations before (initial) and after gravitational selection of five resuspended colonies from three isolates per strain. Data for: Fig. S7.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Data from ImageJ:</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 11 name: File_11_ImageJ_analyses.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 11 description: ImageJ analyses of the microphotographs from&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>). Cultures were grown in culture tubes with 10 ml of media, 50 mL Erlenmeyer flasks with 10 mL and 30 mL of media, in YPD under non-shaking and shaking at 250 rpm. YPD media was used across all conditions. Cultures were assessed after 24 hours growth at 30&deg;C.<span>&nbsp; </span>Microphotographs of each condition and strain were obtained with a Nikon TE2000 microscope using 10x objective.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Pictures:</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 12 name: File_12_ FlowCam_Pictures.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 12 description FlowCam IMAGES from&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 24h growth.&nbsp;Data for: Fig. 1B. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 13 name: File_13_Microphotography_controled_experimental_conditions.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 13 description: Microphotographs<em> </em>from&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>). Cultures were grown in culture tubes with 10 mL of media, 50 mL Erlenmeyer flasks with 10 mL and 30 mL of media, in YPD under non-shaking and shaking at 250 rpm. YPD media was used across all conditions. Cultures were assessed after 24 hours of growth at 30&deg;C. Pictures were obtained with a Nikon TE2000 microscope using 10x objective.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Mathematical Model</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 14 name: File_14_Mathematical_model.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 14 description: Mathematical model R code and generated values. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">ARN data</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 15 name: File_15_rnaseq-final-results-Top_v_Bottom.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 15 description: RNA analyses final results Top vs Bottom phenotypic subdistributions. Top is used as control. </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 16 name: File_16_Variant_Call_format_file.vcf</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 16 description: Variant Calling analyses of the sample ARN sample <em>Top 1. </em>Adhesion number: SRR32105384. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Time-lapse videos</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 17 name: Supp. Video 1. C1W8.1 from 17 to 22 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 17 description: Supplementary Video 1. Experimentally evolved multicellular yeast video between 17 and 22 hours of growth (C1W8.1-derived strain) &mdash; time-lapse video of the formation of a single-cell propagule from a multicellular cluster<strong>. </strong></span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 18 name: Supp. Video 2. Ace2x2KO over 26 hours growth.</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 18 description: Supplementary Video 2. <em>ace2&Delta; knockout</em> constructed strain growth &mdash; time-lapse video of a single large multicellular cluster over 26 hours. </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 19 name: Supp. Video 3. C1W8.1 over 6 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 19 description: Supplementary Video 3. Experimentally evolved multicellular yeast growth between 6 and 12 hours of growth (C1W8.1-derived strain). </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 20 name: Supp. Video 4. C1W8.1 over 24 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 20 description: Supplementary Video 4. Experimentally evolved multicellular yeast growth over 24 hours (C1W8.1-derived strain) &mdash; cell division stops in small ancestral-like phenotypes. </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 21 name: Supp. Video 5. Ace2x2KO over 24 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 21 description: Supplementary Video 5. <em>ace2&Delta; knockout</em> constructed strain growth &mdash; time-lapse video of multiple large multicellular clusters over 24 hours. </span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 22 name: Supp. Video 6. Ace2x2missense from 0 to 3h45m hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 22 description: Supplementary Video 6. <em>ace2&Delta; missense</em> constructed strain growth &mdash; time-lapse video of multiple large multicellular clusters up to 3 hours 45 min. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">METHODOLOGICAL INFORMATION</span></p> <p><span lang="EN">Strains: ancestral wildtype (Y55 strains), C1W8.1 and&nbsp;C1W8.2 multicellular derived strains isolated after 60 days of selection in YPD media, constructed ACE2 gene knockouts, and strains containing the ACE2 missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>).</span></p> <p><span lang="EN">Media: Growth media used in this study were Yeast Peptone Dextrose media (YPD; 1% (v/w) yeast extract, 2% (v/w) peptone, 2% (v/w) D-glucose, pH 5.8).</span></p> <p><span lang="EN">Phenotypic characterization of the different strains was conducted in a Coulter Counter Multisizer 4 and FlowCam&reg; 3.0 Fluid Imaging Technologies, optic microscopy and a mathematical model. Replicate populations of different individual isolates per strain were analyzed to obtain the population distributions in YPD media.</span></p> <p><span lang="EN">RNA was extracted using an Invitrogen&reg; PureLink RNA Mini Kit. Three out of four extracted samples per treatment with the highest RNA integrity score were submitted for TrueSeq Stranded RNA-Seq. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">10. Detailed description</span></p> <p><span lang="EN"><span>●<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span lang="EN">Coulter Counter size distribution data of all the populations:&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 1 name:&nbsp; File_1_Coulter_Counter_Counts_20h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 1 description: strains naming convention; strain_Isolate_run.pseudoreplicate. Strains: ace2x2m=strains containing the ACE2 missense mutation (ACE2 c.1934 A&gt;T); ace2x2= ACE2 knockout; C1W8.1= C1W8.1 evolved multicellular strain; C1W8.2= C1W8.2 evolved multicellular strain; Y55= ancestral strain.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Columns 3 to the last column: strains counts.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 2 name:&nbsp; File_2_Coulter_Counter_Counts_24h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 2 description: strains naming convention; strain_Isolate_run.pseudoreplicate. Strains: ace2x2m=strains containing the ACE2 missense mutation (ACE2 c.1934 A&gt;T); ace2x2= ACE2 knockout; C1W8.1= C1W8.1 evolved multicellular strain; C1W8.2= C1W8.2 evolved multicellular strain; Y55= ancestral strain.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Columns 3 to the last column: strains counts.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 3 name:&nbsp; File_3_Coulter_Counter_Counts_48h.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 3 description: strains naming convention; strain_Isolate_run.pseudoreplicate. Strains: ace2x2m=strains containing the ACE2 missense mutation (ACE2 c.1934 A&gt;T); ace2x2= ACE2 knockout; C1W8.1= C1W8.1 evolved multicellular strain; C1W8.2= C1W8.2 evolved multicellular strain; Y55= ancestral strain.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Column 3 to the last column: strains counts.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File_4_Coulter_Counter_Counts_Constructed_strains_diversity.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 4 description: strains naming convention; strain_Isolate_colony_run.pseudoreplicate. Strains: ace2x2m=strains containing the ACE2 missense mutation (ACE2 c.1934 A&gt;T); ace2x2= ACE2 knockout.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Column 3 to the last column: strains counts.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File_5_Coulter_Counter_Counts_Selection_Experiment.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 5 description: strains naming convention; strain_colony.phenotype_selection.cycle_run.pseudoreplicate. Strains: C1W8.2= C1W8.2 evolved multicellular strain and C1W8.1= C1W8.1 evolved multicellular strain.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Column 3 to the last column: strains counts.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 6 name:&nbsp; File_6_Coulter_Counter_Counts_12h.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 6 description: Size distributions of C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockout, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 12-hours growth.&nbsp;Data for: Fig. 3A and Fig. S3. </span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Volume (um3)</span></p> <p><span lang="EN">Column 2: Diameter (um2)</span></p> <p><span lang="EN">Column 3: Time</span></p> <p><span lang="EN">Column 4: replicate</span></p> <p><span lang="EN">Column 5: Strain name (strain_f)</span></p> <p><span lang="EN">Column 6: Isolate (isolate_f)</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 7 name: File_3_Rawdata_Flowcam_all.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 7 description: strains naming convention; ace2_isolate= ACE2 knockout;</span></p> <p><span lang="EN">Ace2m_isolate= strain containing the ACE2 missense mutation (ACE2 <em>c.1934 A&gt;T</em>); c1w82_isolate=C1W8.2 evolved multicellular strain; C1W81_isoalte C1W8.1 evolved multicellular strain; Y55_isolate=ancestral strain. </span></p> <p><span lang="EN">&sect;&nbsp; Page 1:</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 1: Particle ID</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 2: Area ABD</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 3: Aspect Ratio (Width/Length)</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 4: Circle Fit</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 5: Area base Diameter (ABD)</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 6: Equivalent Spherical Diameter (ESD)</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 7: Elongation</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 8: Perimeter</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 9: Roughness</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 10: Volume ABD-based</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 11: Volume ESD-based</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 12: Width</span></p> <p><span lang="EN">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column 13: Source. Name of the sample.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 8 name: File_8_C1W8.2_overlapPairs_Selection_Experiment.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 8 description: C1W8.2 _lineage_selection.cycle= C1W8.2 evolved multicellular strain, lineage (A=ancestral, M1= lineage 1,<span>&nbsp; </span>M2= lineage 2 , M3= lineage 3) and selection cycle<span>&nbsp; </span>(0, 1, 2 and 3).</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Var1= strain 1</span></p> <p><span lang="EN">Column 2: Var2= strain 2</span></p> <p><span lang="EN">Column 3: overlap value of both strains compared.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 9 name: File_9_C1W8.1_overlapPairs_Selection_Experiment.csv</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 9 description: C1W8.1 _lineage_selection.cycle =C1W8.1 evolved multicellular strain, lineage (A=ancestral, M1= lineage 1,<span>&nbsp; </span>M2= lineage 2 , M3= lineage 3) and selection cycle<span>&nbsp; </span>(0, 1, 2 and 3).</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Var1= strain 1</span></p> <p><span lang="EN">Column 2: Var2= strain 2</span></p> <p><span lang="EN">Column 3: overlap value of both strains compared.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 10 name: File_10_overlapPairs_Constructed_strains_diversity.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 10 description: variables naming convention; strain _isolate_colony.number. Strains; ace2x2m=strains containing the ACE2 missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>); ace2x2= ACE2 knockout. Isolate; 1,2 and 3. Colony.number; Initial=initial population and colony number (1,2,3,4 and 5).</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Var1= strain 1</span></p> <p><span lang="EN">Column 2: Var2= strain 2</span></p> <p><span lang="EN">Column 3: overlap value of both strains compared.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 11 name: File_11_ ImageJ _analyses.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 11 description: ImageJ analyses of the microphotographs from&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>). Cultures were grown in culture tubes with 10 mL of media, 50 mL Erlenmeyer flasks with 10 mL and 30 mL of media, in YPD under non-shaking and shaking at 250 rpm. YPD media was used across all conditions. Cultures were assessed after 24 hours growth at 30&deg;C.<span>&nbsp; </span>Microphotographs of each condition and strain were obtained with a Nikon TE2000 microscope using 10x objective.</span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: Var1= strain 1</span></p> <p><span lang="EN">Column 2: </span><span lang="EN">Var2 =<span> strain 2</span></span></p> <p><span lang="EN">Column 3: overlap value of both strains compared.</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 12 name: File_12_ FlowCam_Pictures.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 12 description: FlowCam runs, images, and raw data of&nbsp;<em>Saccharomyces cerevisiae</em>&nbsp;Y55 strain clones, C1W8.1 and&nbsp;C1W8.2 multicellular evolved strains, constructed ACE2 gene knockouts, and strains containing the missense mutation (ACE2 <sup>c.1934 A&gt;T</sup>) in YPD at 24h growth.&nbsp;Data for: Fig. 1B. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 13 name: File_13_Microphotography_controled_experimental_conditions.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 13 description: 149 microphotographs. </span></p> <p><span lang="EN">&sect;&nbsp;Folder 1:<span>&nbsp; </span>Images </span><span lang="EN">of Erlenmeyer flasks<span> with 30ml of YPD</span></span></p> <p><span lang="EN">&sect;&nbsp;Folder 2:<span>&nbsp; </span>Images </span><span lang="EN">of <span>Erlenmeyer&rsquo;s and tubes with 10ml of YPD</span></span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 14 name: File_14_Mathematical_model.zip</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 14 description: Mathematical model, R code, and generated values. </span></p> <p><span lang="EN">&sect;&nbsp; Document 1:<span>&nbsp; </span>R code of the model</span></p> <p><span lang="EN">&sect;&nbsp; Document 2:<span>&nbsp; </span>Resulted data from </span><span lang="EN">the <span>mathematical model with different inset</span> <span>values of <em>k</em>, alpha</span>,<span> and beta. </span></span></p> <p><span lang="EN">&sect;&nbsp; Document 2:<span>&nbsp; </span>Resulted data from the mathematical model with different inset values of <em>k</em>, alpha, gamma, and beta. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 15 name: File_15_rnaseq-final-results-Top_v_Bottom.xlsx</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 15 description: </span></p> <p><span lang="EN">&sect;&nbsp; Page 1: </span></p> <p><span lang="EN">Column 1: number</span></p> <p><span lang="EN">Column 2: ID</span></p> <p><span lang="EN">Column 3: protID</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 4: gene_symbol<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 5: chr</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 6: chr_latin</span></p> <p><span lang="EN">Column 7: location </span></p> <p><span lang="EN">Column 8: baseMean</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 9: log2FoldChange</span></p> <p><span lang="EN">Column 10: lfcSE</span></p> <p><span lang="EN">Column 11: stat</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 12: pvalue<span>&nbsp;&nbsp;&nbsp;&nbsp; </span>padj</span></p> <p><span lang="EN">Column 13: test</span></p> <p><span lang="EN">Column 14: log10padj</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 15: log10baseMean</span></p> <p><span lang="EN">Column 16: blast_pident</span></p> <p><span lang="EN">Column 17: transcript_length</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 18: blast_evalue</span></p> <p><span lang="EN">Column 19: blast_bitscore</span></p> <p><span lang="EN">Column 20: rnaID</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 21: feature</span></p> <p><span lang="EN">Column 22: accession</span></p> <p><span lang="EN">Column 23: strain</span></p> <p><span lang="EN"><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Column 24: gene_accession</span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 16 name: File_16_Variant_Call_format_file.vcf</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 16 description: Variant Calling analyses of the<span>&nbsp; </span>ARN sample <em>Top 1. </em>Adhesion number: SRR32105384. </span></p> <p><span lang="EN">&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 17 name: Supp. Video 1. C1W8.1 from 17 to 22 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 17 description: <strong>Supplementary Video 1. Experimentally evolved multicellular yeast video between 17 and 22 hours of growth (C1W8.1-derived strain) &mdash; time-lapse video of the formation of a single-cell propagule from a multicellular cluster. </strong>The time-lapse video captures growth dynamics over this period, highlighting the formation of a single-cell propagule from a multicellular cluster on two occasions (visible in the lower left region of the frame). Images were acquired every 15 minutes using a 10x objective lens.&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 18 name: Supp. Video 2. Ace2x2KO over 26 hours </span><span lang="EN">of <span>growth.</span></span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 18 description: <strong>Supplementary Video 2. <em>ace2&Delta; knockout</em></strong> <strong>constructed strain growth</strong> <strong>&mdash; time-lapse video of a single large multicellular cluster over 26 hours.</strong> The video captures large, multicellular clusters that produce both large, multicellular and small, ancestral-like clusters. The video shows a single large multicellular cluster fragmenting into two large multicellular clusters at ~ 13 hours of growth (from 02:09 to 02:10 minutes in the time-lapse) and generating two small ancestral-like propagules at ~19 hours of growth (from 03:07 to 03:09 minutes in the time-lapse). Microphotographs were obtained at 3-minute intervals under a 10x objective over 26 hours.&nbsp;&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 19 name: Supp. Video 3. C1W8.1 over 6 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 19 description: <strong>Supplementary Video 3. Experimentally evolved multicellular yeast growth between 6 and 12 hours of growth (C1W8.1-derived strain). </strong>The time-lapse video captures large, multicellular clusters of the C1W8.1 strains, which produce both large, multicellular and small, ancestral-like clusters. Additionally, small ancestral-like clusters are observed undergoing cellular division <strong>&mdash;</strong>no separation is observed<strong>&mdash;</strong> during the first 2 to 3 hours, followed by a cessation of division for the remainder of the time-lapse. Images were acquired every 30 seconds using a 10x objective lens.</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 20 name: Supp. Video 4. C1W8.1 over 24 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 20 description: <strong>Supplementary Video 4. Experimentally evolved multicellular yeast growth over 24 hours (C1W8.1-derived strain) &mdash; cell division stops in small ancestral-like phenotypes. </strong>The footage captures multiple large multicellular clusters undergoing fragmentation into propagules. Additionally, a small ancestral-like cluster is observed undergoing division during the first 2 to 3 hours, followed by a cessation of division for the remainder of the time-lapse (visible in the lower left region of the frame). This early division phase is evident during the first 10 seconds of the video. Images were acquired every 5 minutes using a 10x objective lens.&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 21 name: Supp. Video 5. Ace2x2KO over 24 hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 21 description: <strong>Supplementary Video 5. <em>ace2&Delta; knockout</em> constructed strain growth</strong> <strong>&mdash; time-lapse video of multiple large multicellular clusters over 24 hours.</strong> The video shows multiple large multicellular clusters fragmenting into large clusters and several small ancestral-like clusters being dragged by Brownian motion and evaporation of the sample. Microphotographs were obtained at fixed intervals of 3 minutes under the 10x objective over 24 hours.&nbsp;</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 22 name: Supp. Video 6. Ace2x2missense from 0 to 3h45m hours growth</span></p> <p><span lang="EN"><span>o<span>&nbsp;&nbsp; </span></span></span><span lang="EN">File 22 description: <strong>Supplementary Video 6. <em>ace2&Delta; missense</em> constructed strain growth</strong> <strong>&mdash; time-lapse video of multiple large multicellular clusters up to 3 hours 45 min.</strong> The video shows multiple large multicellular clusters fragmenting into large clusters</span><span lang="EN">,<span> generating two small ancestral-like propagules before being dragged by Brownian motion and evaporation of the sample. Microphotographs were obtained at </span>3-minute intervals <span>under the 10x objective.&nbsp;</span></span></p> <p><span lang="EN">&nbsp;</span></p> <p>&nbsp;</p>

opencc-by-4.0Sep 2024View details →
dryad40/100

Conflict reducing innovations in development enable increased multicellular complexity

<p>Obligately multicellular organisms, where cells can only reproduce as part of the group, have evolved multiple times across the tree of life. Obligate multicellularity has only evolved when clonal groups form by cell division, rather than by cells aggregating, as clonality prevents internal conflict. Yet obligately multicellular organisms still vary greatly in 'multicellular complexity' (the number of cells and cell types): some comprise few cells and cell-types, and others billions of cells and thousands of types. Here, we test if variation in multicellular complexity is explained by conflict-suppressing mechanisms, namely a single cell bottleneck at the start of development, and a strict separation of germline and somatic cells. Applying a phylogenetic comparative analysis to the life-cycles 138 lineages of plants, animals, fungi and algae, we show that an early segregation of the germline stem-cell lineage is key to the evolution of more cell types. In contrast, the presence of a strict single cell bottleneck was not related to either the number of cells or cell types but was associated with early germline segregation. Our results suggest that segregating the germline earlier in development enabled greater evolutionary innovation, possibly through conflict suppression or via greater developmental flexibility. </p>

opencc-zeroFeb 2024View details →
dryad40/100

Data from: Deletion of an sRNA primes development in a multicellular bacterium

<p>Small non-coding RNAs (sRNAs) are essential in regulating gene expression during many biological processes. The myxobacteria gene <em>pxr</em> encodes an sRNA known to block fruiting-body development, an aggregative multicellular process triggered by starvation. Deletion of <em>pxr</em> allows <em>Myxococcus xanthus </em>cells<em> </em>to develop in the presence of nutrients. However, potential Pxr binding targets and most genes regulated by Pxr remain unknown. Here, we found that the absence of <em>pxr </em>expression dramatically alters the temporal dynamics of development, thus suggesting an important new role of this sRNA in myxobacterial ecology. We transcriptionally profiled vegetative cells of <em>M. xanthus </em>strains<em> </em>possessing vs lacking <em>pxr</em> and found that over half of the genes impacted by <em>pxr </em>deletion during growth are linked to development, including known and potentially novel critical regulators. Many other genes are associated with general metabolic processes, which Pxr regulates positively. Our study discovers new phenotypic effects of Pxr regulation of likely ecological importance, identifies the suite of genes this sRNA controls during vegetative growth, reveals a previously unknown developmental regulator and provides new insights into the early molecular regulation of myxobacterial development.</p>

opencc-zeroMay 2024View details →
zenodo40/100

Fig. 6 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 6. SEM and SRXTM images of the indeterminate alga; Kuanchuanpu Formation, Fortunian, Terreneuvian, Cambrian in Ningqiang County, Shaanxi Province, China. A. ELISN103-361; A1, SEM image; A2, A3, A4, close-up views of polygonal cells. B. ELISN111-78; B1, SEM image; B3, 3D rendering; B4, B6, B7, virtual sections; B5, B8, close-up views of B4 and B7 (respectively). Intervals between cells, white arrowheads (A4, B2, B5); cell clumps, white arrows (B1, B4, B6); intervals between cell and membrane, black arrowheads (B2, B8).

opencc-by-4.0Jun 2022View details →
zenodo40/100

Fig. 4 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 4. Measurements of problematic alga Calathophycus irregulatus Tang gen. et sp. nov. and concave opening. A. Histogram of maximal length and width of bowl-shaped fossils. B. Histogram of maximal length and width of concave opening. C. Scatter diagram indicating a linear relationship between the maximal length and width of C. irregulatus. D. A linear relationship between the maximal length and width of the concave opening.

opencc-by-4.0Jun 2022View details →
zenodo40/100

Fig. 3 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 3. SEM images of problematic alga Calathophycus irregulatus Tang gen. et sp. nov. with a deep central concavity; Kuanchuanpu Formation, Fortunian, Terreneuvian, Cambrian in Ningqiang County, Shaanxi Province, China. A. ELISN72-52, holotype; A1, front view; A2, back view. B. ELISN163-729; B1, front view; B2, back view. C. ELISN133-60. D. ELISN163-339. Cell clumps, white arrows (A, C, D); gaps between cell clumps, black arrows (A, B1). Fossils are arranged in order of size, suggesting a possible sequence of growth and development.

opencc-by-4.0Jun 2022View details →
zenodo40/100

Fig. 2 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 2. SEM images of problematic alga Calathophycus irregulatus Tang gen. et sp. nov. with a shallow central concavity; Kuanchuanpu Formation, Fortunian, Terreneuvian, Cambrian in Ningqiang County, Shaanxi Province, China. A. ELISN80-91; A1, front view; A2, back view. B–D. ELISN85-39, ELISN163-455, ELISN164-15, respectively. E. ELISN164-271; E1, front view; E2, close-up view. Cell clumps, white arrows (A, C, D); gaps between cell clumps, black arrows (B, E); external membrane, equilateral arrowheads (B, C, D). The specimens are selected and arranged in order of size so as to indicate a possible sequence of growth and development.

opencc-by-4.0Jun 2022View details →
zenodo40/100

Fig. 1 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 1. Geological map (A; modified from Han et al. 2016), stratigraphic column (B), and typical fossils (C–E) from Cambrian the Shizhonggou section in Ningqiang County, Shaanxi Province, China. C. Carinachitid Carinachites spinatus Qian, 1977. D. Anabaritid Anabarites trisulcatus Missarzhevsky in Voronova and Missarzhevsky, 1969. E. Olivooid Olivooides multisulcatus Qian, 1977.

opencc-by-4.0Jun 2022View details →
zenodo40/100

Fig. 5 in New materials of multicellular algae from the earliest Cambrian Kuanchuanpu biota in South China

Fig. 5. Internal structure of problematic alga Calathophycus irregulatus Tang gen. et sp. nov. revealed by Micro-CT; Kuanchuanpu Formation, Fortunian, Terreneuvian, Cambrian in Ningqiang County, Shaanxi Province, China. A. ELISN72-52, holotype; A1, SEM image; A2, 3D rendering; A3, A5, virtual sections; A4, A6, close-up views. B. ELISN164-15; B1, SEM image; B2, 3D rendering; B3, B4, B7, virtual sections; B5, B6, close-up views. Gap between cell clumps, black arrows (A4, B6, B7); gaps between cells, white arrowhead (A4); interval between polygonal cells, white arrowhead (B5); interval between cells and clumps, black arrowheads (A6, B5, B6); cell clumps, white arrows (B3, B7); external membrane, equilateral arrowhead (B6).

opencc-by-4.0Jun 2022View details →
zenodo40/100

Code and data of "Uncovering disease-related multicellular pathway modules on large-scale single-cell transcriptomes with scPAFA"

<p>Code and data to reproduce the analyses and figures presented in "Uncovering disease-related multicellular pathway modules on large-scale single-cell transcriptomes with scPAFA"</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

The role of polyphosphates in the metabolism of multicellular cable bacteria

<p>Datasets used for chapter 5 of the PhD thesis of N.M.J. Geerlings.&nbsp;The ecophysiology of multicellular cable bacteria:<br> insights from single cell imaging techniques</p> <p>Dataset 1: document (.dac) with the 18O atom fraction for each region of interest defined as a poly-P granule. These values were used for Model 1 and to construct figure 5.5 A-C.&nbsp;</p> <p>Dataset 2: document (.dac) with the 18O atom fraction of each region of interest defined as a poly-P granule and the corresponding 13C atom fraction of the cytoplasm. These fractions are only determined for the nanoSIMS data where the 12C14N- ion count was measured correctly. These values were used for Model 2 and to construct figure 5.6 and A5.3A-B.&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Data from: Multispecies interactions shape the transition to multicellularity

<p>This data was collected during the study entitled &quot;Multispecies interactions shape the transition to multicellularity.&quot;</p> <p>We explored how interspecific competition shapes the emergence of multicellularity in an experimental system with two yeast species, <em>Saccharomyces cerevisiae</em> and <em>Kluyveromyces lactis</em>, where multicellularity evolves in response to selection for faster settling ability. The experimental design consisted of a 19-day evolution experiment, where cocultures and monocultures of unicellular <em>S. cerevisiae </em>and <em>K. lactis</em> were propagated daily with and without selection for settling (6 replicates each). Cocultures included initial frequencies of 25%, 50%, and 75% <em>K. lactis</em>. Differential growth rates and selection coefficients during the sweep of multicellular <em>K. lactis</em> were calculated, and species frequencies (%) were visualized.</p> <p>We also completed a 20-day evolution experiment with cocultures of multicellular <em>S. cerevisaie</em> and <em>K. lacti</em>s, with each species beginning as rare, transferred with and without settling (6 replicates each). Differential growth rates during the invasion-from-rare experiment were calculated and visualized.</p> <p>To assess the competitive dynamics of the two species before and after the transition to multicellularity, competition assays were performed, with species&rsquo; frequencies determined before and after either 24 hours of growth or 7 minutes of settling when each species began as rare. These assays were repeated for unicellular and multicellular isolates. We also obtained 48-hour growth curves for monocultures and 50% cocultures (10 replicates each) and determined the intrinsic growth rate (r) and carrying capacity (K) for each population. Population densities of each species were also measured before and after 24 hours of growth on each species&rsquo; spent media.</p>

opencc-by-4.0Apr 2023View details →
dryad40/100

Metabolically-driven flows enable exponential growth in macroscopic multicellular yeast

Open the record for dataset details and reuse information.

publicMay 2025View details →
dryad40/100

Conflict reducing innovations in development enable increased multicellular complexity

Open the record for dataset details and reuse information.

publicFeb 2024View details →
dryad40/100

Data from: Pleiotropy increases with gene age in six model multicellular eukaryotes

Open the record for dataset details and reuse information.

publicAug 2025View details →
dryad40/100

Data from: Deletion of an sRNA primes development in a multicellular bacterium

Open the record for dataset details and reuse information.

publicNov 2024View details →
dryad36/100

Wild Dictyostelium discoideum social amoebae show plastic responses to the presence of nonrelatives during multicellular development

<p>When multiple strains of microbes form social groups, such as the multicellular fruiting bodies of <em>Dictyostelium discoideum</em>, conflict can arise regarding cell fate. Both fixed and plastic differences among strains can contribute to cell fate, and plastic responses may be particularly important if social environments frequently change. We used RNA-sequencing and photographic time series analysis to detect possible conflict-induced plastic differences between wild <em>D. discoideum </em>aggregates formed by single strains compared to mixed pairs of strains (chimeras). We found one hundred and two differentially expressed genes that were enriched for biological processes including cytoskeleton organization and cyclic-AMP response (up-regulated in chimeras), and DNA replication and cell cycle (down-regulated in chimeras). In addition, our data indicate that in reference to a time series of multicellular development in the lab strain AX4, chimeras may be slightly behind clonal aggregates in their development. Finally, phenotypic analysis supported slower splitting of aggregates and a nonsignificant trend for larger group sizes in chimeras. The transcriptomic comparison and phenotypic analyses support discoordination among aggregate group members due to social conflict. These results are consistent with previously observed factors that affect cell fate decision in <em>D. discoideum </em>and provide evidence for plasticity in cAMP signaling and phenotypic coordination during development in response to social conflict in <em>D. discoideum </em>and similar microbial social groups.</p>

opencc-zeroJan 2021View details →
dryad36/100

Optimal mechanical interactions direct multicellular network formation on elastic substrates

<p>Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structures is important in developmental biology and tissue engineering. Here, by combining an agent-based model for contractile cells on elastic substrates with endothelial cell culture experiments, we show that substrate deformation–mediated mechanical interactions between cells can cluster and align them into branched networks. Motivated by the structure and function of vasculogenic networks, we predict how measures of network connectivity like percolation probability and fractal dimension as well as local morphological features including junctions, branches, and rings depend on cell contractility and density and on substrate elastic properties including stiffness and compressibility. We predict and confirm with experiments that cell network formation is substrate stiffness dependent, being optimal at intermediate stiffness. We also show the agreement between experimental data and predicted cell cluster types by mapping a combined phase diagram in cell density substrate stiffness. Overall, we show that long-range, mechanical interactions provide an optimal and general strategy for multicellular self-organization, leading to more robust and efficient realizations of space-spanning networks than through just local intercellular interactions.</p>

opencc-zeroOct 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record