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25,372 results for “Transcriptomics”

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zenodo28/100

Datasets collected for benchmarking in spatial transcriptomics

<p>Datasets collected for benchmarking in spatial transcriptomics. In addition, the code for benchmarking (March 2025 version, svg-benchmark-main.zip) is also located here and can be accessed on the GitHub website <a href="https://github.com/XiDsLab/svg-benchmark">https://github.com/XiDsLab/svg-benchmark</a>.</p>

openJul 2024View details →
zenodo28/100

Imaging spatial transcriptomics in a transgenic mouse model of α-synucleinopathy

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
dryad28/100

Petal size in rapeseed: novel QTL and candidate genes detected through genome-wide association study and transcriptome comparison

<p>Petal size determines the value of ornamental plants, and thus their economic worth. However, the molecular mechanisms controlling petal size remain unclear in most non-model species. To identify quantitative trait loci and candidate genes regulating petal size in rapeseed (<i>Brassica napus</i>), we performed a genome-wide association study (GWAS) using data from 588 accessions over three consecutive years. We detected 17 significant single nucleotide polymorphisms (SNPs) associated with petal size, with the most significant SNPs located on chromosomes A05 and C06. A combination of GWAS and transcriptomic sequencing based on two accessions with extreme differences in petal size identified 11 differentially expressed genes (DEGs) that may control petal size variation in rapeseed. In particular, <i>BnaA05</i><i>.</i><i>RAP2.2</i> homologous to <i>RAP2.2</i> in rapeseed may be a critical gene negatively influencing petal size through the ethylene signaling pathway. In addition, a comparison of petal epidermal cells indicated that petal size differences between the two extreme accessions were determined mainly by cell number differences. Finally, we propose a preliminary model for the control of petal size in rapeseed. Our results provide insights into the genetic mechanisms regulating petal size, and also lay the foundation for a better understanding of petal development in plants.</p>

opencc-zeroDec 2019View details →
zenodo28/100

10X Genomics Human Visium Spatial Transcriptomics Demo Dataset for Cellxgene VIP

<p>4 Visium Spatial Transcriptomics datasets downloaded 10X Genomics data site ,and organized in the way to be used for Cellxgene VIP input.</p> <p>10X_demo_data_Breast_Cancer_Block_A_Section_1<br> 10X_demo_data_Breast_Cancer_Block_A_Section_2<br> 10X_demo_data_Human_Heart<br> 10X_demo_data_Human_Lymph_Node<br> &nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo28/100

Results of matrix factorization decompositions for a set of 14 colon cancer transcriptomic datasets using different methods

<p>These are the results of application of several matrix factorization methods (ICA, StabilizedICA, NMF, PCA) for a set of 14 independent colon cancer transcriptomics datasets. The analysis was done to compare the methods in terms of their reproducibility (ability to generalize).&nbsp;</p> <p>The results of this analysis was published in&nbsp;</p> <p><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821374/pdf/btz225.pdf">Cantini L, Kairov U, de Reyni&egrave;s A, Barillot E, Radvanyi F, Zinovyev A. Assessing reproducibility of matrix factorization methods in independent transcriptomes. Bioinformatics. 2019 Nov 1;35(21):4307-4313. doi: 10.1093/bioinformatics/btz225.&nbsp;</a></p> <p>&nbsp;</p>

opencc-by-4.0Jan 2022View details →
dryad28/100

Transcriptome for: MYB42 inhibits hypocotyl cell elongation by coordinating brassinosteroid homeostasis and signaling in Arabidopsis

<p><span>The precise control of brassinosteroids (BRs) homeostasis and signaling is a prerequisite for hypocotyl cell elongation in plants. Little is known, however, of such regulators of BR homeostasis and signaling. Here, we have demonstrated that MYB42 negatively regulates hypocotyl elongation through partial inhibition of BRASSINAZOLE-RESISTANT 1 (BZR1) signaling and promotion of BR inactivation. Transgenic <i><span>Arabidopsis</span></i> plants repressing the expression of <i><span>MYB42</span></i> and its paralog <i><span>MYB85</span></i> (<i><span>MYB85 RNAi;myb42</span></i>) exhibited longer hypocotyls than wild-type (WT) plants in darkness, while <i><span>MYB42</span></i> or <i><span>MYB85 </span></i>overexpression inhibits hypocotyl elongation. Hypocotyl length of <i><span>MYB85 RNAi;myb42 </span></i><span>plants can</span><i> </i><span>be </span>resorted <span>into WT level by </span><i><span>MYB42 </span></i>overexpression<span>. </span><span>MYB</span><span>42</span> inhibits hypocotyl elongation by mediating BR signaling, because <i><span>MYB42 </span></i>expression is repressed with BR treatment and in the dominant BR mutant <i><span>bzr1-1D</span></i><span>,</span> and <span>mutation of</span><i> </i><span>both</span><i><span> MYB42</span></i><span> and </span><i><span>MYB85 </span></i>enhances the dwarf phenotype of the BR receptor mutant <i><span>bri1-5</span></i><span>. BZR1 directly represses </span><i><span>MYB42 </span></i><span>expression in response to BR, and </span>t<span>he</span><i> </i><span>hypocotyl length of </span><i><span>bzr1-1D</span></i> is reduced in <i><span>MYB42</span></i><span> overexpression plants but increased in</span><i><span> MYB85 RNAi;myb42 </span></i><span>plants. These results show </span><span><span>MYB42 is a negative target of BZR1</span></span><span>. Transcriptome data revealed that</span><span><span> a number of</span></span><span> BZR1-induced </span>genes associated with <span>cell elongation are down-regulated by MYB42, suggesting that </span><span><span>MYB42</span></span> may partially inhibit BZR1 signaling. In addition, MYB42 enlarges its action in BR signaling through feedback activation of <span>the </span>BR-inactivating enzyme<span> DOGT1</span>. The present study shows a MYB42-mediated multilevel system that contributes to fine regulation of BR-induced hypocotyl elongation.</span></p>

opencc-zeroJan 2022View details →
zenodo28/100

tomato tissue transcriptome -2

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -4

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -7

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -6

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -3

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -5

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -8

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato tissue transcriptome -9

<p>tomato tissue transcriptome&nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato RNAi, OE and WT fruit transcriptome at MG, Br and pink fruit stages-2

<p>tomato RNAi, OE and WT fruit transcriptome at MG, Br and pink fruit stages-2</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

tomato RNAi, OE and WT fruit transcriptome at MG, Br and pink fruit stages-1

<p>tomato RNAi, OE and WT fruit transcriptome at MG, Br and pink fruit stages</p>

opencc-by-4.0Dec 2022View details →
dryad28/100

Phased, chromosome-scale genome assemblies of tetraploid potato reveals a complex genome, transcriptome, and predicted proteome landscape underpinning genetic diversity

<p>Hoopes G., Meng X., Hamilton J.P., Achakkagari S.R., de Alves Freitas Guesdes F., Bolger M.E., Coombs J.J., Esselink D., Kaiser N.R., Kodde L., Kyriakidou M., Lavrijssen B., van Lieshout N., Shereda R., Tuttle H.K., Vaillancourt B., Wood J.C., de Boer J.M., Bornowski N., Bourke P., Douches D., van Eck H.J., Ellis D., Feldman M.J., Gardner K.M., Hopman J.C.P., Jiang J., De Jong W.S., Kuhl J.C., Novy R.G., Oome S., Sathuvalli V., Tan E.H., Ursum R.A., Vales M.I., Vining K., Visser R.G.F., Vossen J., Yencho G.C., Anglin N.L., Bachem C.W.B., Endelman J.B., Shannon L.M., Strömvik M.V., Tai H.H., Usadel B., Buell C.R., and Finkers R. (2022). Phased, chromosome-scale genome assemblies of tetraploid potato reveals a complex genome, transcriptome, and predicted proteome landscape underpinning genetic diversity. Mol. Plant. doi: https://doi.org/10.1016/j.molp.2022.01.003.</p> <p>Cultivated potato is a clonally propagated autotetraploid species with a highly heterogeneous genome. Phased assemblies of six cultivars including two chromosome-scale phased genome assemblies revealed extensive allelic diversity including altered coding and transcript sequences, preferential allele expression, and structural variation that collectively result in a highly complex transcriptome and predicted proteome which are distributed across the homologous chromosomes. Wild species contribute to the extensive allelic diversity in tetraploid cultivars, demonstrating ancestral introgressions predating modern breeding efforts. As a clonally propagated autotetraploid that undergoes limited meiosis, dysfunctional and deleterious alleles are not purged in tetraploid potato. Nearly a quarter of the loci bore mutations predicted to have a high negative impact on protein function, complicating breeder's efforts to reduce genetic load. The <em>StCDF1</em> locus controls maturity and analysis of six tetraploid genomes revealed 12 allelic variants correlated with maturity in a dosage dependent manner. Knowledge of the complexity of the tetraploid potato genome with its rampant structural variation and embedded deleterious and dysfunctional alleles will be key not only to implementing precision breeding of tetraploid cultivars but also to the construction of homozygous, diploid potato germplasm containing favorable alleles to capitalize on heterosis in F1 hybrids.</p>

opencc-zeroDec 2021View details →
dryad28/100

Doryteuthis pealeii embyronic transcriptome individual stages 16-27 pooled and annotation

<p>Photoreception is a ubiquitous sensory ability found across the Metazoa, and photoreceptive organs are intricate and diverse in their structure. Although the morphology of the compound eye in Drosophila and the single-chambered eye in vertebrates have elaborated independently, the amount of conservation within the 'eye' gene regulatory network remains controversial, with few taxa studied. To better understand the evolution of photoreceptive organs, we established the cephalopod Doryteuthis pealeii as a lophotrochozoan model for eye development. Utilizing histological, transcriptomic and molecular assays, we characterize eye formation in Doryteuthis pealeii Through lineage tracing and gene expression analyses, we demonstrate that cells expressing Pax and Six genes incorporate into the lens, cornea and iris, and the eye placode is the sole source of retinal tissue. Functional assays demonstrate that Notch signaling is required for photoreceptor cell differentiation and retinal organization. This comparative approach places the canon of eye research in traditional models into perspective, highlighting complexity as a result of both conserved and convergent mechanisms.</p>

opencc-zeroJan 2022View details →
zenodo28/100

Variation in leaf transcriptome responses to elevated ozone corresponds with physiological sensitivity to ozone across maize inbred lines

<p>All FASTA files used for BLAST analyses and all BLAST results for <a href="https://doi.org/10.1093/genetics/iyac080">https://doi.org/10.1093/genetics/iyac080</a>&nbsp;are included. Descriptions of each file can be found in&nbsp;README_maize_genetics_2022_zenodo.csv and further information about the content of the files can be found on <a href="https://github.com/McIntyre-Lab/papers/tree/master/nanni_maize_2022">github</a>.</p>

opencc-by-4.0Dec 2021View details →

ScienceDex guides

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

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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