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accession-icon GSE18397
Expression profiling of NB4 cells after treatment with ATRA
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

In acute promyelocytic leukemia (APL), differentiation therapy with all-trans retinoic acid (ATRA)

Publication Title

Chemokine induction by all-trans retinoic acid and arsenic trioxide in acute promyelocytic leukemia: triggering the differentiation syndrome.

Sample Metadata Fields

Specimen part

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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

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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
accession-icon SRP149538
Human lineage tracing enabled by mitochondrial mutations and single cell genomics [TF1_clones_RNA]
  • organism-icon Homo sapiens
  • sample-icon 3 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: Cells from 3 separate TF1 clones (C9, D6, and G10) were processed with bulk 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
accession-icon GSE12839
Expression data from human PBMC samples exposed to IL-12 and paired controls
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The cytokine interleukin-12 (IL-12) is known to play a central role in adaptive and innate immunity.

Publication Title

Tpl2 kinase regulates T cell interferon-gamma production and host resistance to Toxoplasma gondii.

Sample Metadata Fields

Sex

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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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