Find research datasets worth reusing

Unbiased single-cell morphology with self-supervised vision transformers -- Cell Painting

The data necessary to reproduce the Cell Painting results in the paper <a href="https://www.biorxiv.org/content/10.1101/2023.06.16.545359v1">Unbiased single-cell morphology with self-supervised vision transformers</a>.

Unbiased single-cell morphology with self-supervised vision transformers -- HPA FOV

The data necessary to reproduce the HPA FOV results in the paper <a href="https://www.biorxiv.org/content/10.1101/2023.06.16.545359v1">Unbiased single-cell morphology with self-supervised vision transformers</a>.

processed single-cell data from "Cancer cell non-autonomous tumor progression from chromosomal instability"

The h5ad files can be used as processed scRNA-seq input to the ContactTracing code (https://zenodo.org/badge/latestdoi/625036312). There is one file for the highCIN/lowCIN comparison, and another for the highCIN/noSTING comparison.

Unbiased single-cell morphology with self-supervised vision transformers -- HPA single cells

The data necessary to reproduce the HPA single cells results in the paper <a href="https://www.biorxiv.org/content/10.1101/2023.06.16.545359v1">Unbiased single-cell morphology with self-supervised vision transformers</a>.

Unbiased single-cell morphology with self-supervised vision transformers -- WTC11

The data necessary to reproduce the WTC11 results in the paper <a href="https://www.biorxiv.org/content/10.1101/2023.06.16.545359v1">Unbiased single-cell morphology with self-supervised vision transformers</a>.

Landscape of Mast cell populations across organs in mice and humans

Mast cells (MCs) are tissue-resident immune cells which exhibit homeostatic and neuron-associated functions. Here we combined whole-tissue imaging and single-cell RNA sequencing datasets to generate a pan-organ analysis of MCs in mice and humans at steady state. In mice, we identify two mutually exclusive MC populations, MrgprB2+ connective tissue-type MCs and MrgprB2neg mucosal-type MCs, with specific transcriptomic core signatures. While MrgprB2+ MCs develop in-utero independently of the bone marrow, MrgprB2neg MCs develop after birth and are renewed by bone marrow progenitors. In humans, we unbiasedly identify 7 MC subsets (MC1 to 7) distributed across 12 organs with different transcriptomic core signatures. MC1 are preferentially enriched in the bladder, MC2 in the lungs, and MC4, MC6 and MC7 in the skin. Conversely, MC3 and MC5 are shared by most organs, but not skin. This comprehensive analysis offers valuable insights into the natural diversity of MC subtypes in both mice and humans.

(SNP Array) Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of TP53 mutant Leukaemic Evolution

Single nucleotide polymorphism (SNP) array data files related our publication titled "Single-Cell Multi-Omics Identifies Chronic Inflammation as a Driver of TP53 mutant Leukaemic Evolution".

Single-cell chromatin accessibility profiling reveals a self-renewing muscle satellite cell state

A balance between self-renewal and differentiation is critical for the regenerative capacity of tissue-resident stem cells. In skeletal muscle, successful regeneration requires the orchestrated activation, proliferation, and differentiation of muscle satellite cells (MuSCs) that are normally quiescent. A subset of MuSCs undergoes self-renewal to replenish the stem cell pool, but the features that identify and define self-renewing MuSCs remain to be elucidated. Here, through single-cell chromatin accessibility analysis, we reveal the self-renewal versus differentiation trajectories of MuSCs over the course of regeneration in vivo. We identify Betaglycan as a unique marker of self-renewing MuSCs that can be purified and efficiently contributes to regeneration after transplantation. We also show that SMAD4 and downstream genes are genetically required for self-renewal in vivo by restricting differentiation. Our study unveils the identity and mechanisms of self-renewing MuSCs while providing a key resource for comprehensive analysis of muscle regeneration.

FB28-stained intracellular structures in butterfly wing epithelial cells in vivo

We reconstructed the 3D video images of FB28-stained intracellular structures in butterfly wing epithelial cells in vivo.  These videos are supplementary materials for Figure 5a and Figure 5b in a research article.

The weaken-fill-repair model for cell budding: Linking cell wall biosynthesis with mechanics

The interplay between cellular mechanics and other biochemical processes leading to the cell cycle is poorly understood. Here, we propose a quantitative model of the mechanism of cell budding, particularly for Saccharomyces cerevisiae, as a ''weaken-fill-repair'' process. This model links Newtonian mechanics over the cell wall with biochemical processes that change the mechanical properties of the wall. Our model shows that: (1) The oscillatory behavior in the size of the mother compartment during cell division, as observed experimentally, is an inevitable consequence of the budding mechanism; (2) The asymmetry of cell division is necessary for the daughter cell to maintain mechanical stiffness; (3) Although different aspects of a cell are strictly constrained and intricately interconnected, the budding process is governed by a single reduced parameter that, when at an appropriate value, can automatically achieve homeostasis. Our quantitative model of the evolution of cell walls and their impact on cell division could provide valuable insights into cell morphology from a system perspective. This knowledge could be instrumental in developing effective antimicrobial treatments against microorganisms with cell walls and even in building synthetic cells.

opencc-by-4.0Jan 2021View details →

Dataset: Live cell dynamics of production, explosive release and killing activity of phage tail-like weapons for Pseudomonas kin exclusion

This dataset is related to "Live cell dynamics of production, explosive release and killing activity of phage tail-like weapons for Pseudomonas kin exclusion" and contains the raw data obtained.

Biomasses, starch content, cell membrane leakage and phenology of established diploids and tetraploids and synthetic neotetraploids of Jasione maritima var. maritima

Polyploidy is a pervasive phenomenon in nature and has significantly contributed to the adaptive evolution of plants. The conditions necessary for the spread of neopolyploids in populations of the diploid progenitor are limited; however, the superior competitive ability of neopolyploids may promote its establishment. Here, we assess the contribution of polyploidisation to the divergence of plant traits affecting competitive response, which could explain the successful establishment and current geographic distribution of polyploids. We conducted an intraspecific competition experiment using diploids, neotetraploids and established tetraploids of Jasione maritima var. maritima to determine whether cytotypes differ in phenological, growth and physiological traits and competitive response. Cytotypes respond differently under different competition scenarios with implications for cytotype establishment and distribution. Competition impacted all cytotypes, but neotetraploids were least affected by competition, and the tetraploids were the most impacted. Thus, competitive advantage may have contributed to the displacement of diploid populations and colonisation of new areas by neotetraploids but might have been lost afterwards. Evolutionary changes after polyploidisation have also been detected, and tetraploids invested more in belowground biomass, suggesting that root development might also play a role in colonising southernmost locations. Interestingly, diploids and both tetraploids seem to have different life strategies, the first investing in growth while the latter investing in reserves for the next season. Overall, polyploidisation seems to provide immediate changes that confer an advantage under competition that, together with other factors, may have allowed the establishment of neotetraploids.

Single-cell transcriptional atlas of the developing Drosophila visual system (V1.1)

An updated version of a single-cell transcriptional atlas of the developing Drosophila visual system (V1.1): https://doi.org/10.5281/zenodo.8097374 Changes are described in Yoo et al. 2023 (https://doi.org/10.1101/2023.04.03.534791) <pre>  </pre>

opencc-zeroJul 2023View details →

Data from: Hemin treatment drives viral reactivation and plasma cell differentiation of EBV latently infected B cells

Epstein-Barr virus (EBV) and Plasmodium falciparum have a well described role in the development of endemic Burkitt lymphoma (BL), yet the mechanisms involved remain unknown. A major hallmark of malarial disease is hemolysis and bystander eryptosis of red blood cells, which causes release of free heme in large quantities into peripheral blood. We hypothesized that heme released during malaria infection drives differentiation of latently infected EBV-positive B cells, resulting in viral reactivation and release of infectious virus. To test this hypothesis, we used the EBV-positive Mutu I B-cell line and treated with hemin (the oxidized form of heme) and evaluated for evidence of EBV reactivation. Hemin treatment resulted in the expression of EBV immediate early, early and late lytic gene transcripts. In addition, expression of CD138, a marker of plasma cells was co-expressed with the late lytic protein gp350 on hemin treated Mutu I cells. Finally, DNase-resistant EBV DNA indicative of virion production was detected in supernatant. To assess the transcriptional changes induced by hemin treatment, RNA sequencing was performed on mock- and hemin-treated Mutu I cells, and a shift from mature B cell transcripts to plasma cell transcripts was identified. To identify the mechanism of hemin-induced B cell differentiation, we measured levels of the plasma cell transcriptional repressor, BACH2, that contains specific heme binding sites. Hemin treatment caused significant degradation of BACH2 by 24 hours post-treatment in four BL cell lines (two EBV positive, two EBV negative). Knockdown of BACH2 in Mutu I cells using siRNAs significantly increased CD138+gp350+ cells to levels similar to treatment with hemin. This suggested that hemin induced BACH2 degradation was responsible for plasma cell differentiation and viral reactivation. Together, these data support a model where EBV reactivation can occur during malaria infection via heme modulation, providing a mechanistic link between malaria and EBV.

Structure preserving adversarial generation of labeled training samples for single cell segmentation

Supplementary package (dataset, generated data and code) for the article: "Structure preserving adversarial generation of labeled training samples for single cell segmentation". (Cell Reports Methods, 2023 - under submission) Content of the package: <ul> <li>datasets.zip: the images and annotations for the fallopian tube and salivary gland dataset.</li> <li>mask_quality_experiment.zip: the generated masks using SIMCEP and the generated microscopy images using pix2pix using the SIMCEP masks.</li> <li>pix2pix_models.zip: the models for fold 0 for both datasets. It can be used to synthesize new images.</li> <li>StyleGAN2-ada_models.zip: the models for synthesizing new masks.</li> <li>code.zip: a github repository (named .git) for executing the pipeline.</li> </ul>

Multi-Nucleic Acid Interaction Mapping in Single Cell (MUSIC) for simultanouse chromatin, RNA-chromatin and transcriptome mapping at single cell resolution

<a href="https://doi.org/10.1101/2023.06.28.546457">MUSIC manuscript:</a> Joint profiling of multiplex chromatin interactions, gene expression, and RNA-chromatin associations in single cells of the human brain. MUSIC-docker is the customized pipeline to process the raw fastq files to bam files: http://sysbiocomp.ucsd.edu/public/wenxingzhao/MUSIC_docker/intro.html. Each bam file records the final output of our single cell mixed species analysis. Read name recods the cell barcode, complex barcode and I7 index. For each DNA/RNA read, read header contains <code>raw read name</code>| <code>BC3</code>_<code>BC2</code>_<code>BC1</code> - <code>10x barcode</code> # <code>UMI</code>. Details of the read name can be found here: http://sysbiocomp.ucsd.edu/public/wenxingzhao/MUSIC_docker/step.html#demultiplexing. merge_DNA [RNA]_human [mouse].sort.bam: bam file of DNA [RNA] reads from the mix species library (H1+E14) that can uniquely mapped to the human [mouse] genome. PCR duplicates have been removed.

Characterising neutrophil subtypes in cancer using human and murine single-cell RNA sequencing datasets

Single cell RNA sequencing data generated by 10xGenomics for Neutrophils derived from colorectal cancer (CRC) KPN tumours (CRC_KPN_counts.csv) and normalised counts (CRC_KPN_NormalisedCounts.csv) as well as from other mouse models of CRC carrying AKPT, BPN, BP and KP mutations (CRC_other_counts.csv and CRC_other_NormalisedCounts.csv), together with the relevant metadata (CRC_KPN_metadata.csv and CRC_other_metadata.csv).

Drug-Cell Line-Gene heterogeneous graph from NCI60

Dataset for "Attention-Guided Gene Importance Assessment in Drug-Cell-Gene Heterogeneous Network for Drug Response Deciphering".  # information - drug_cell_gene.csv.gz: Adjacency matrix of drugs, cell lines, and genes from NCI60.  - train.csv: training data. Contains drug name and cell line name - val.csv: validation data. Contains drug name and cell line name - test.csv: test data. Contains drug name and cell line name - train_values.npy: train value. Contains drug response values (Z-score) - val_values.npy: validation value. Contains drug response values (Z-score) - test_values.npy: test value. Contains drug response values (Z-score)

opencc-zeroJul 2023View details →

Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex

Rodent studies have demonstrated that synaptic dynamics from excitatory to inhibitory neuron types are often dependent on the target cell type. However, these target cell-specific properties have not been well investigated in human cortex, where there are major technical challenges in reliably obtaining healthy tissue, conducting multiple patch-clamp recordings on inhibitory cell types, and identifying those cell types. Here, we take advantage of newly developed methods for human neurosurgical tissue analysis with multiple patch-clamp recordings, post-hoc fluorescent in situ hybridization (FISH), machine learning-based cell type classification, and prospective GABAergic AAV-based labeling to investigate synaptic properties between pyramidal neurons and PVALB- vs. SST-positive interneurons. We find that there are robust molecular differences in synapse-associated genes between these neuron types, and that individual presynaptic pyramidal neurons evoke postsynaptic responses with heterogeneous synaptic dynamics in different postsynaptic cell types. Using molecular identification with FISH and classifiers based on transcriptomically identified PVALB neurons analyzed by Patch-seq, we find that PVALB neurons typically show depressing synaptic characteristics, whereas other interneuron types including SST-positive neurons show facilitating characteristics. Together, these data support the existence of target cell-specific synaptic properties in human cortex that are similar to rodents, thereby indicating evolutionary conservation of local circuit connectivity motifs from excitatory to inhibitory neurons and their synaptic dynamics.

Single cell FUCCI tracking data

These datasets contain single cell FUCCI tracking data for the data analysis R scripts in the FUCCI_analysis folder in the heldring-E2S-modeling GitHub repository available via the persistent link https://doi.org/10.5281/zenodo.8143692.