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SRP202046
Mus musculus
58 Downloadable Samples
NextSeq 500
Description
Data accompaning to van Gurp et al. Development 2019. single-cell sequencing of the developing mouse pancreas followed by Seurat analysis to discover genes important for alpha and beta cell differentiation. Overall design: Single-cells from mouse embryonic pancreas at E12.5, E13.5, E14.5, E15.5 and E18.5 were isolated and enriched for MIP-GFP and sorted into 384-well plates. Afterwards, SORT-seq was performed and single-cell transcriptomics profiles were obtained.
Publication Title
A transcriptomic roadmap to α- and β-cell differentiation in the embryonic pancreas.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 32 Downloadable Samples
- NextSeq 500
Description
To understand organ function it is important to have an inventory of the cell types present in the tissue and of the corresponding markers that identify them. This is a particularly challenging task for human tissues like the pancreas, since reliable markers are limited. Transcriptome-wide studies are typically done on pooled islets of Langerhans, which obscures contributions from rare cell types and/or potential subpopulations. To overcome this challenge, we developed an automated single-cell sequencing platform to sequence the transcriptome of thousands of single pancreatic cells from deceased organ donors, allowing in silico purification of all main pancreatic cell types. We identify cell type-specific transcription factors, a subpopulation of REG3A-positive acinar cells, and cell surface markers that allow sorting of live alpha and beta cells with high purity. This resource will be useful for developing a deeper understanding of pancreatic biology and pathophysiology of diabetes mellitus. Overall design: Islets of Langerhans were extracted from human cadaveric pancreata and kept in culture until single-cell dispersion and FACS sorting. Single-cell transcriptomics was performed on live cells from this mixture using an automated version of CEL-seq2 on live, FACS sorted cells. The StemID algorithm was used to identify clusters of cells corresponding to the major pancreatic cell types and to mine for novel cell type-specific genes as well as subpopulations within the known pancreatic cell types.
Publication Title
A Single-Cell Transcriptome Atlas of the Human Pancreas.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 18 Downloadable Samples
- NextSeq 500
Description
Gene expression profiles from ALDH high cells sorted from expanded adult human pancreatic organoids are more similar to fetal pancreatic tissue and ALDH high cells sorted from expanded fetal human pancreatic organoids than to adult human islets or adult islet-depleted exocrine tissue. Overall design: RNA was isolated from ALDHhi cells sorted from organoids after 7 days expansion derived from human adult pancreatic tissue, ALDHhi cells sorted from organoids after 7 days expansion derived from human fetal pancreatic tissue, primary fetal pancreatic tissue, adult human islets from different donors and adult exocrine (islet-depleted) pancreatic tissue from different donors.
Publication Title
Expansion of Adult Human Pancreatic Tissue Yields Organoids Harboring Progenitor Cells with Endocrine Differentiation Potential.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 224 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Immune cell-specific expression is one indication of the importance of a gene's role in the immune response.
Publication Title
Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 23 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Human mucosal surfaces contain a wide range of microorganisms. The biological effects of these organisms are largely unknown. Large-scale metagenomic sequencing is emerging as a method to identify novel microbes. Unexpectedly, we identified DNA sequences homologous to virus ATCV-1, an algal virus not previously known to infect humans, in oropharyngeal samples obtained from healthy adults. The presence of ATCV-1 was associated with a modest but measurable decrease in cognitive functioning. A relationship between ATCV-1 and cognitive functioning was confirmed in a mouse model, which also indicated that exposure to ATCV-1 resulted in changes in gene expression within the brain. Our study indicates that viruses in the environment not thought to infect humans can have biological effects.
Publication Title
Chlorovirus ATCV-1 is part of the human oropharyngeal virome and is associated with changes in cognitive functions in humans and mice.
Sample Metadata Fields
Treatment
View Samples- Arabidopsis thaliana
- 4 Downloadable Samples
- Illumina Genome Analyzer II
Description
Backgropund:In a major paradigm shift in the last decade, the knowledge about a whole class of non-coding RNAs known as miRNAs has emerged, which have proved these to be important regulators of a wide range of cellular processes by the way of modulation of gene expression. It is reported that some of these miRNAs are modified by addition or deletion of nucleotides at their ends, after biogenesis. However, the biogenesis and functions of these modifications are not well studied in eukaryotes, especially in plants. In this study, we examined the miRNA modifications in different tissues of the various plants, namely rice, tomato and Arabidopsis and identified some common features of such modifications. Results:We have analyzed different aspects of miRNA modifications in plants. To achieve this end, we developed a PERL script to find the modifications in the sequences using small RNA deep sequencing data. The modification occurs in both mature and passenger (star) strands, as well as at both the 5'' and 3'' ends of miRNAs. Interestingly, we found a position-specific nucleotide biased modification, as evident by increased number of modification at the 5'' end with the presence of Cytosine (nucleotide ''C'') at the 3’end of the miRNA sequence. The level of modifications is not strictly dependent on the abundance of miRNA. Our study showed that the modification events are independent of plant species, tissue and physiological conditions. Our analysis also indicates that the RNAi enzyme, namely, the RNA dependent RNA polymerase 6 (RDR6) may not have any role in Arabidopsis miRNA modifications. Some of these modified miRNAs are bound to AGO1, suggesting their possible roles in biological processes. Conclusions:This is a first report that reveals that 5'' nucleotide additions are preferred for mature miRNA sequences with 3’ terminal ‘C’ nucleotide. Our analysis also indicates that the miRNAs modifications involving addition of nucleotides to the 5’ or 3’ end are independent of RDR6 activity and are not restricted by plant species, physiological conditions and tissue types. The results also indicate that such modifications might be important for biological processes. Overall design: small RNA profiles of wild type and RDR6 (-) of Arabidopsis plants were generated using deep sequencing data.
Publication Title
3' and 5' microRNA-end post-biogenesis modifications in plant transcriptomes: Evidences from small RNA next generation sequencing data analysis.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 9 Downloadable Samples
- Illumina HiSeq 2500
Description
RNA sequencing was performed to determine the uniqueness of splenic follicular IgD low B cells compared to splenic follicular IgD high and marginal zone B cells. Overall design: Splenic follicular IgD low and IgD high , and MZ B cells were sorted by FACS from naïve 8-10 weeks old mice. Total RNA was isolated from the sorted cells using RNAqueous® -4PCR kit and RNA sequencing was performed. Splenocytes from five mice were pooled for each sorting. Three independent sorting was performed for each B cell subset.
Publication Title
Mature IgD<sup>low/-</sup> B cells maintain tolerance by promoting regulatory T cell homeostasis.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 36 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, -catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths
Publication Title
Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Cellular senescence is a tumor suppressor mechanism, and immortalization facilitates neoplastic transformation. Both mechanisms may be highly relevant to hepatocellular carcinoma (HCC) development and its molecular heterogeneity. Cellular senescence appears to play a major role in liver diseases. Chronic liver diseases are associated with progressive telomere shortening leading senescence that is observed highly in cirrhosis, but also in some HCC. We previously described the generation of immortal and senescence-programmed clones from HCC-derived Huh7 cell line.
Publication Title
Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.
Sample Metadata Fields
Sex, Specimen part
View Samples- Drosophila melanogaster
- 154 Downloadable Samples
- Illumina HiSeq 2000
Description
The goal was to study the effects of lead exposure on gene expression and identify the lead-responsive genes. After detecting 1,536 cis-eQTLs (FDR = 10%) and 952 trans-eQTLs, we focused our analysis on Pb-sensitive “trans-eQTL hotspots”. Overall design: 158 randomly selected Drosophila Synthetic Population Resource (A2) samples (control 79 samples and Pb-treated) without replicates
Publication Title
Identification of Splicing Quantitative Trait Loci (sQTL) in <i>Drosophila melanogaster</i> with Developmental Lead (Pb<sup>2+</sup>) Exposure.
Sample Metadata Fields
Cell line, Subject
View Samples