refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1117 results
Sort by

Filters

Technology

Platform

accession-icon SRP045632
Rapid neurogenesis through transcriptional activation in human stem cell (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Advances in cellular reprogramming and stem cell differentiation now enable ex vivo studies of human neuronal differentiation. However, it remains challenging to elucidate the underlying regulatory programs because differentiation protocols are laborious and often result in low neuron yields. Here, we overexpressed two murine Neurogenin transcription factors in human induced pluripotent stem cells, and obtained neurons with bipolar morphology in four days at greater than 90% purity. The high purity enabled mRNA and microRNA expression profiling during neurogenesis, thus revealing the genetic programs involved in the transition from stem cell to neuron. These profiles were then analyzed to identify the regulatory networks underlying the differentiation of the neurons. Overall design: Paired end RNA sequencing of iPS cells (PGP1) at 0, 1, 3, and 4 days post- doxycycline induction of murine NGN1 and NGN2. This was done using an Illumina HiSeq, and reads were aligned to hg19

Publication Title

Rapid neurogenesis through transcriptional activation in human stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP108852
Genome-scale Activation Screen Identifies a LncRNA Locus Regulating a Gene Neighborhood [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The mammalian genome contains thousands of loci that transcribe long noncoding RNAs (lncRNAs), some of which are known to play critical roles in diverse cellular processes through a variety of mechanisms. While some lncRNA loci encode RNAs that act non-locally (in trans), emerging evidence indicates that many lncRNA loci act locally (in cis) to regulate expression of nearby genes—for example, through functions of the lncRNA promoter, transcription, or transcript itself. Despite their potentially important roles, it remains challenging to identify functional lncRNA loci and distinguish among these and other mechanisms. To address these challenges, we developed a genome-scale CRISPR-Cas9 activation screen targeting more than 10,000 lncRNA transcriptional start sites (TSSs) to identify noncoding loci that influence a phenotype of interest. We found 11 novel lncRNA loci that, upon recruitment of an activator, each mediate BRAF inhibitor resistance in melanoma. Most candidate loci appear to regulate nearby genes. Detailed analysis of one candidate, termed EMICERI, revealed that its transcriptional activation results in dosage-dependent activation of four neighboring protein-coding genes, one of which confers the resistance phenotype. Our screening and characterization approach provides a CRISPR toolkit to systematically discover functions of noncoding loci and elucidate their diverse roles in gene regulation and cellular function. Overall design: RNA-seq on A375 cells overexpressing candidate lncRNA or protein-coding gene.

Publication Title

Genome-scale activation screen identifies a lncRNA locus regulating a gene neighbourhood.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP076139
ATAC-seq data from 3 cancer cell lines and RNA-seq data from 1 cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

RNA-seq and ATAC-seq data to understand how gene regulation and chromatin accessibility correlates with function enrichment in CRISPR screen for melanoma drug resistance

Publication Title

Genome-scale activation screen identifies a lncRNA locus regulating a gene neighbourhood.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP056432
A genome-wide CRISPR screen in primary immune cells to dissect regulatory networks
  • organism-icon Mus musculus
  • sample-icon 656 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We introduced genome-wide pooled CRISPR-Cas9 libraries into primary mouse dendritic cells (DCs) to identify genes that control the induction of tumor necrosis factor (TNF) by bacterial lipopolysaccharide (LPS), a key process in the host response to pathogens, mediated by the TLR4 pathway. We found many of the known regulators of TLR4 signaling, as well as dozens of previously unknown candidates that we validated. Overall design: We used stain base phenotype (staining for TNF) in order to search for negative and positive regulators of LPS response in differentiated BMDCs

Publication Title

A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68889
Human aldosterone producing cell clusters, zona glomerulosa, zona fasciculata, and zona reticularis, from adrenal glands
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to analyze the transcriptome characteristics of aldosterone producing cell clusters (APCC) we compared transcript abundances of APCC, zona glomerulosa (ZG), zona fasciculata (ZF), and zona reticularis (ZR), from adrenal glands obtained from 4 kidney transplantation donors. The frozen adrenal glands in O.C.T. compound were cut into 7um sections, and every 10-th section immunostained for aldosterone synthase (CYP11B2). The remaining sections were stained with cresyl violet and used for laser-capture microdissection of tissue to use in the array assays. APCC and ZG samples were captured from CYP11B2 positive regions based on the CYP11B2-stained sections. ZF and ZR were captured from lipid-rich cells in the middle layer and compact cells outside of the medulla, respectively. RNA was isolated using PicoPure RNA isolation kits (Molecular Devices, Sunnyvale, CA). 1-10 ng total RNA was reverse-transcribed and amplified with the Ovation Pico WTA System V2 (NuGEN Technologies, San Carlos, CA). cDNA was purified using QIAquick PCR Purification Kit (Qiagen, Hilden, Germany) and biotin-labeled using Encore Biotin Module (NuGEN Technologies), followed by hybridization to GeneChip Human Genome U133 Plus 2.0 Array (Affymetrix, Santa Clara, CA). Expression values were calculated using the robust multi-array average method (RMA). This resulted in base-2 log-transformed data for each of the 4 tissues from each of the 4 people. In addition to the raw and processed data we also supply a supplementary Excel file holding the data and some statistical analysis, which has features to make simple graphs, and holds probe-set annotation that we used at that time (users may wish to obtain new annotation though). We fit two-way ANOVA models with terms for 4 tissues and 4 people, and compared each probe-set between every pair of tissues using F-tests for pairwise contrasts. We modeled people effects since they were not negligible. The supplement shows how to calculate the tests.

Publication Title

Aldosterone-stimulating somatic gene mutations are common in normal adrenal glands.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP075966
Transcription control by the ENL YEATS domain in acute leukemia [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Recurrent chromosomal translocations involving the mixed lineage leukemia gene (MLL) give rise to highly aggressive acute leukemia associated with poor clinical outcomes. The preferential involvement of chromatin-associated factors in MLL rearrangements belies a dependency on transcriptional control. To identify new targets for therapeutic development in MLL, we performed a genome-scale CRISPR-Cas9 knockout screen in MLL-AF4 leukemia. Among validated targets, we identified the transcriptional regulator, ENL, as an unrecognized dependency particularly indispensable for proliferation. To explain the mechanistic role for ENL in leukemia pathogenesis and the dynamic role in transcription control, we pursued a chemical genetic strategy utilizing targeted protein degradation. ENL loss suppresses transcription initiation and elongation genome-wide, with pronounced effects at genes featuring disproportionate ENL load. Importantly, ENL-dependent leukemic growth was contingent upon an intact YEATS epigenomic reader domain. These findings reveal a novel dependency in acute leukemia and a first mechanistic rationale for disrupting YEATS domains in disease. Overall design: RNA-seq in MV4;11 (Cas9; ENL-FKBP(F36V); ENL -/-) cells with dTAG-13 and EPZ-5676 treatment

Publication Title

Transcription control by the ENL YEATS domain in acute leukaemia.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP039397
High-resolution mapping reveals a conserved, widespread, dynamic meiotically regulated mRNA methylation program [Hs]
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, IlluminaMiSeq

Description

N6-methyladenosine (m6A) is a common modification of mRNA, with potential roles in fine-tuning the RNA life cycle, but little is known about the pathways regulating this process and its physiological role. Here, we used mass-spectrometry to identify a dense network of proteins physically interacting with METTL3, a core component of the methyltransferase complex, and show that two of them, WTAP and KIAA1429, are required for methylation. Combining high resolution m6A-Seq with knockdown of WTAP allowed us to define accurate maps, at near single-nucleotide resolution, of sites of mRNA methylation across four dynamic programs in human and mouse, including development, differentiation, reprogramming and immune response. Internal WTAP-dependent methylation sites were largely static across the different surveyed conditions and present in the majority of mRNAs. However, methylations were found at much lower levels within highly expressed mRNAs, and methylation is inversely correlated with mRNA stability, consistent with a role in establishing an overall basal, cell-type invariant, distribution of degradation rates. In addition, we identify thousands of WTAP-independent methylation sites at transcription initiation sites, forming part of the mRNA cap structure. We show that the methylations occur at the first transcribed nucleotide, and find that thousands of transcripts are present in different isoforms differing in the methylation state of the first transcribed nucleotide, a previously unappreciated complexity of the transcriptome. Together, our data sheds new light on the proteomic and transcriptional underpinnings of this epitranscriptomic modification in mammals. Overall design: Examination of m6A methylation in human Hek293 and A549 cell lines, in human embryonic stem cells (ESCs) undergoing differentiation to neural progenitor cells (NPCs), in OKMS inducible fibroblasts reprogrammed into iPSC, and upon knockdown of factors using siRNAs or shRNAs.

Publication Title

Perturbation of m6A writers reveals two distinct classes of mRNA methylation at internal and 5' sites.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP039402
High-resolution mapping reveals a conserved, widespread, dynamic meiotically regulated mRNA methylation program [Mm]
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

N6-methyladenosine (m6A) is a common modification of mRNA, with potential roles in fine-tuning the RNA life cycle, but little is known about the pathways regulating this process and its physiological role. Here, we used mass-spectrometry to identify a dense network of proteins physically interacting with METTL3, a core component of the methyltransferase complex, and show that two of them, WTAP and KIAA1429, are required for methylation. Combining high resolution m6A-Seq with knockdown of WTAP allowed us to define accurate maps, at near single-nucleotide resolution, of sites of mRNA methylation across four dynamic programs in human and mouse, including development, differentiation, reprogramming and immune response. Internal WTAP-dependent methylation sites were largely static across the different surveyed conditions and present in the majority of mRNAs. However, methylations were found at much lower levels within highly expressed mRNAs, and methylation is inversely correlated with mRNA stability, consistent with a role in establishing an overall basal, cell-type invariant, distribution of degradation rates. In addition, we identify thousands of WTAP-independent methylation sites at transcription initiation sites, forming part of the mRNA cap structure. We show that the methylations occur at the first transcribed nucleotide, and find that thousands of transcripts are present in different isoforms differing in the methylation state of the first transcribed nucleotide, a previously unappreciated complexity of the transcriptome. Together, our data sheds new light on the proteomic and transcriptional underpinnings of this epitranscriptomic modification in mammals. Overall design: Examination of m6A methylation across different knockdowns using shRNAs in mouse embryonic fibroblasts, in embyronic and adult brains, and in dendritic cell stimulated with LPS.

Publication Title

Perturbation of m6A writers reveals two distinct classes of mRNA methylation at internal and 5' sites.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE44076
Gene expression data from healthy, adjacent normal and tumor colon cells
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Gene expression profiles of paired normal adjacent mucosa and tumor samples from 98 individuals and 50 healthy colon mucosae, were obtained through Affymetrix Human Genome U219 Arrays. This dataset is in the context of the COLONOMICS project and to query additional information you can visit the project website www.colonomics.org.

Publication Title

Discovery and validation of new potential biomarkers for early detection of colon cancer.

Sample Metadata Fields

Sex, Age, Disease, Subject

View Samples
accession-icon GSE43974
Pathways for intervention to optimize donor organ quality uncovered: a genome wide gene expression study
  • organism-icon Homo sapiens
  • sample-icon 554 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Background: Strategies to improve long term renal allograft survival have been directed to recipient dependent mechanisms of renal allograft injury. In contrast, no such efforts have been made to optimize organ quality in the donor. In order to get insight into the deleterious gene pathways expressed at different time points during deceased kidney transplantation, transcriptomics was performed on kidney biopsies from a large cohort of deceased kidney transplants.

Publication Title

Hypoxia and Complement-and-Coagulation Pathways in the Deceased Organ Donor as the Major Target for Intervention to Improve Renal Allograft Outcome.

Sample Metadata Fields

Specimen part

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact