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accession-icon GSE102527
Rheostatic Chromatin Control of Promiscuous Transcription by Aire and Brg1
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Rapid chromatin repression by Aire provides precise control of immune tolerance.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE102525
Rheostatic Chromatin Control of Promiscuous Transcription by Aire and Brg1 [Affymetrix]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Gene Expression Profiles of mTECs from Aire-/- and Brg1-/- mice and their littermate controls.

Publication Title

Rapid chromatin repression by Aire provides precise control of immune tolerance.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP150349
Integrated epigenomic and transcriptomic profiling of terminal human erythropoiesis [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In vitro cultured CD34+ derived erythroblasts were sorted using surface markers and processed using RNA-seq Overall design: Biological replicates (3 or 4 per population) were processed across 2-3 biological donors for 8 sorted populations for RNA-seq

Publication Title

Transcriptional States and Chromatin Accessibility Underlying Human Erythropoiesis.

Sample Metadata Fields

Subject

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accession-icon SRP173199
Integrated epigenomic and transcriptomic profiling of terminal human erythropoiesis [TMCC2]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

HUDEP-2 cells were lentivirally infected with CRISPRi constructs using a nontargeting guide or guides targeting an enhancer in the TMCC2 locus Overall design: Whole transcriptome libraries were sequenced for three replicates of non-targeting gRNA and two replicates each for two different gRNA targeting a regulatory region upstream of the TMCC2 erythroid-specific isoform

Publication Title

Transcriptional States and Chromatin Accessibility Underlying Human Erythropoiesis.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP069174
PHF6 regulates B-cell identity in acute lymphoblastic leukemia [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Inactivating mutations in the zinc finger gene PHF6 are seen in approximately 40% of adult T-cell acute lymphoblastic leukemias (T-ALLs) and 3% of adult acute myeloid leukemias (AMLs). The absence of PHF6 mutations in B-cell lineage malignancies has led to the hypothesis that PHF6 may act as a lineage-specific tumor suppressor gene. Here, we demonstrate that PHF6 plays a critical role in regulating B-cell identity in the context of B-cell precursor acute lymphoblastic leukemia (preB-ALL). Transplantation of Phf6 knockout preB-ALL cells (hereafter referred to as Phf6KO cells) into immunocompetent syngeneic recipients resulted in the development of a fully penetrant lymphoma-like disease. Strikingly, the resulting lymphomas showed robust up-regulation of the canonical T-cell marker CD4, suggesting that Phf6KO cells adopt a T-cell program in the context of leukemogenesis. RNA sequencing analysis revealed numerous differentially expressed (DE) genes in Phf6WT and Phf6KO cells, including a significant down-regulation of genes and gene sets involved in pathways important for B-cell development. Chromatin immunoprecipitation followed by high-throughput sequencing analysis revealed that PHF6 co-localizes with H3K27ac signals close to the transcription start sites (TSSs) and enhancer regions of a significant proportion of DE genes. Notably, regions flanking the TSS of DE genes showed significant enrichment for binding sites of several well-described master regulators of B-cell development, including PU.1, EGR-1, EBF-1, NF-kB, TCF3 and TCF12. We found that PHF6 and TCF12 physically interact in preB-ALL cells, suggesting that these factors act synergistically in the establishment and maintenance of B-cell identity. In addition, we found that a human PHF6 mutant T-ALL cell line has an incompletely rearranged IGH locus, strongly suggesting that T-ALL can have a B-cell origin. These findings reveal an essential role for PHF6 in the establishment and maintenance of B-cell identity in preB-ALL by directly activating genes that are crucial for B-cell lineage commitment and maintenance. Collectively, these results indicate that loss of function of PHF6 in preB-ALL leads to an unstable cellular state in which cells acquire alternate developmental programs (such as the T-lineage program) to survive, potentially explaining the apparent absence of PHF6 mutations in human B cell-lineage malignancies. Overall design: Gene expression profiles by RNA-Seq of 3 Phf6 wild-type preB-ALL cells, 3 shPhf6 preB-ALL cells, 6 Phf6 knockout (2 different sgRNAs) preB-ALL cells

Publication Title

PHF6 regulates phenotypic plasticity through chromatin organization within lineage-specific genes.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE73224
Microarray Analysis of Cohesin Mutant HSPC
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transciptome analysis of CD34+ enriched human HSPC lentivirally transduced with cohesin WT or mutant

Publication Title

Leukemia-Associated Cohesin Mutants Dominantly Enforce Stem Cell Programs and Impair Human Hematopoietic Progenitor Differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP056571
Frequent and Transient Acquisition of Pluripotency During Somatic Cell Trans-Differentiation with iPSCs Reprogramming Factors (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Recent reports have proposed a new paradigm for obtaining mature somatic cell types from fibroblasts without going through a pluripotent state, by briefly expressing canonical iPSC reprogramming factors Oct4, Sox2, Klf4 and c-Myc (abbreviated as OSKM), in cells expanded in lineage differentiation promoting conditions. Here we apply genetic lineage tracing for endogenous Nanog, Oct4 and X chromosome reactivation during OSKM induced trans-differentiation, as these molecular events mark final stages for acquisition of induced pluripotency. Remarkably, the vast majority of reprogrammed cardiomyocytes or neural stem cells derived from mouse fibroblasts via OSKM mediated trans-differentiation were attained after transient acquisition of pluripotency, and followed by rapid differentiation. Our findings underscore a molecular and functional coupling between inducing pluripotency and obtaining “trans-differentiated” somatic cells via OSKM induction, and have implications on defining molecular trajectories assumed during different cell reprogramming methods. Overall design: poly RNA-Seq was measured before, during and after conversion of mouse embryonic fibroblasts to neural stem cells using OSKM trans-differentiation method.

Publication Title

Transient acquisition of pluripotency during somatic cell transdifferentiation with iPSC reprogramming factors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP156532
Human lineage tracing enabled by mitochondrial mutations and single cell genomics [TF1_barcoding_scRNA]
  • organism-icon Homo sapiens
  • sample-icon 172 Downloadable Samples
  • Technology Badge Icon

Description

Lineage tracing provides unprecedented insights into the fate of individual cells and their progeny in complex organisms. While effective genetic approaches have been developed in vitro and in animal models, these cannot be used to interrogate human physiology in vivo. Instead, naturally occurring somatic mutations have been utilized to infer clonality and lineal relationships between cells in human tissues, but current approaches are limited by high error rates and scale, and provide little information about the state or function of the cells. Here, we show how somatic mutations in mitochondrial DNA (mtDNA) can be tracked by current single cell RNA-Seq (scRNA-Seq) or single cell ATAC-Seq (scATAC-Seq) for simultaneous analysis of single cell lineage and state. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their use as clonal markers to infer lineal relationships. We trace the lineage of human cells by somatic mtDNA mutations in a native context both in vitro and in vivo, and relate it to expression profiles and chromatin accessibility. Our approach should allow lineage tracing at a 100- to 1,000-fold greater scale than with single cell whole genome sequencing, while providing information on cell state, opening the way to chart detailed cell lineage and fate maps in human health and disease. Overall design: A population of 25 transfected TF1 cells were expanded and forwarded to a combination of 1) ATAC-seq and single cell RNA-seq. The single-cell RNA-seq data are listed here. Meta data includes heteroplasmic variant information per cell as well as the group assigned based on the lentiviral barcoding

Publication Title

Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP149545
Human lineage tracing enabled by mitochondrial mutations and single cell genomics [CC100_scRNA]
  • organism-icon Homo sapiens
  • sample-icon 135 Downloadable Samples
  • Technology Badge Icon

Description

Lineage tracing provides unprecedented insights into the fate of individual cells and their progeny in complex organisms. While effective genetic approaches have been developed in vitro and in animal models, these cannot be used to interrogate human physiology in vivo. Instead, naturally occurring somatic mutations have been utilized to infer clonality and lineal relationships between cells in human tissues, but current approaches are limited by high error rates and scale, and provide little information about the state or function of the cells. Here, we show how somatic mutations in mitochondrial DNA (mtDNA) can be tracked by current single cell RNA-Seq (scRNA-Seq) or single cell ATAC-Seq (scATAC-Seq) for simultaneous analysis of single cell lineage and state. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their use as clonal markers to infer lineal relationships. We trace the lineage of human cells by somatic mtDNA mutations in a native context both in vitro and in vivo, and relate it to expression profiles and chromatin accessibility. Our approach should allow lineage tracing at a 100- to 1,000-fold greater scale than with single cell whole genome sequencing, while providing information on cell state, opening the way to chart detailed cell lineage and fate maps in human health and disease. A variety of experimental designs using cells derived from both in vitro and in vivo to determine the efficacy of using mtDNA mutations in human clonal tracing. Overall design: A population of 30 primary hematopoietic cells were expanded and forwarded to a combination of ATAC-seq and single cell RNA-seq. single cell RNA-seq samples are listed here.

Publication Title

Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP149535
Human lineage tracing enabled by mitochondrial mutations and single cell genomics [TF1_clones_scRNA]
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Lineage tracing provides unprecedented insights into the fate of individual cells and their progeny in complex organisms. While effective genetic approaches have been developed in vitro and in animal models, these cannot be used to interrogate human physiology in vivo. Instead, naturally occurring somatic mutations have been utilized to infer clonality and lineal relationships between cells in human tissues, but current approaches are limited by high error rates and scale, and provide little information about the state or function of the cells. Here, we show how somatic mutations in mitochondrial DNA (mtDNA) can be tracked by current single cell RNA-Seq (scRNA-Seq) or single cell ATAC-Seq (scATAC-Seq) for simultaneous analysis of single cell lineage and state. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their use as clonal markers to infer lineal relationships. We trace the lineage of human cells by somatic mtDNA mutations in a native context both in vitro and in vivo, and relate it to expression profiles and chromatin accessibility. Our approach should allow lineage tracing at a 100- to 1,000-fold greater scale than with single cell whole genome sequencing, while providing information on cell state, opening the way to chart detailed cell lineage and fate maps in human health and disease. A variety of experimental designs using cells derived from both in vitro and in vivo to determine the efficacy of using mtDNA mutations in human clonal tracing. Overall design: Individually sorted cells from clonally derived TF1 clones (C9, D6, and G10) were processed with single cell RNA-seq (Smart-seq2)

Publication Title

Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics.

Sample Metadata Fields

Specimen part, Cell line, Subject

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)

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Developed by the Childhood Cancer Data Lab

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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.

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