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accession-icon GSE106721
CXCL12/CXCR4 signaling enhances human PSC-derived hematopoietic progenitor function and overcomes early in vivo transplantation failure
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human pluripotent stem cells (hPSC) generate hematopoietic progenitor cells (HPC), but fail to engraft xenograft models, which is a hallmark feature of adult/somatic hematopoietic stem cells (HSC) from human donors. Progress to derive hPSC-derived HSCs has relied on cell autonomous approaches that force expression of transcription factors (TF), however the role of bone marrow (BM) niche remains poorly understood. Here, we quantified a failure of hPSC-HPCs to survive even in the first 24 h upon transplantation into the BM. Across several hPSC-HPC differentiation methodologies, we identified the lack of CXCR4 expression and network function. Ectopic CXCR4 conferred CXCL12-dependent signaling of hPSC-HPCs in biochemical assays and increased migration/chemotaxis and progenitor capacity, as well as survival and proliferation following transplantation in vivo. In addition, hPSC-HPCs forced to express CXCR4 demonstrated a transcriptional shift toward somatic HPCs, but this approach failed to produce long-term HSC engraftment. Our results reveal that independent of differentiation methods, networks involving CXCR4 should be targeted to generate HSCs with in vivo function from hPSCs.

Publication Title

CXCL12/CXCR4 Signaling Enhances Human PSC-Derived Hematopoietic Progenitor Function and Overcomes Early In Vivo Transplantation Failure.

Sample Metadata Fields

Specimen part

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accession-icon SRP135702
RNA-Seq of Circulating Tumor Cells in Stage II-III Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

BACKGROUND: We characterized the whole transcriptome of circulating tumor cells (CTCs) in Stage II-III breast cancer to evaluate correlations with primary tumor biology. METHODS: CTCs were isolated from peripheral blood (PB) via immunomagnetic enrichment followed by fluorescence-activated cell sorting (IE-FACS). CTCs, PB and fresh tumors were profiled with RNA Seq. Formalin-fixed, paraffin-embedded (FFPE) tumors were subjected to RNA Seq and NanoString PAM50 assays with Risk of Recurrence (ROR) scores. RESULTS: CTCs were detected in 29/33 (88%) of patients. We selected 21 cases to attempt RNA Seq (median number of CTCs=9). 16 CTC samples yielded results that passed quality control metrics. These samples had a median of 4,311,255 uniquely mapped reads, less than PB or tumors. Intrinsic subtype predicted by comparing estrogen receptor (ER), progesterone receptor (PR) and HER2 versus PAM50 for FFPE tumors was 85% concordant. However, CTC RNA Seq subtype assessed by the PAM50 classification genes was highly discordant both with the subtype predicted by ER/PR/HER2 as well as by tumor PAM50. Two patients died of metastatic disease - both had high ROR scores and high CTC counts. We identified significant genes, canonical pathways, upstream regulators and molecular interaction networks comparing CTCs by various clinical factors. We identified a 75-gene signature with highest expression in CTCs and tumors taken together that was prognostic in The Cancer Genome Atlas and METABRIC datasets. CONCLUSION: It is feasible to use RNA Seq of CTCs in non-metastatic patients to discover novel tumor biology characteristics. Overall design: 6 peripheral blood samples from healthy individuals (negative controls) were compared to circulating tumor cells from n=16 patients, with comparison to the primary tumors available for n=12 of these patients

Publication Title

RNA-Seq of Circulating Tumor Cells in Stage II-III Breast Cancer.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE75086
Cellular and Molecular Targeting of Recurrence in Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

While disease recurrence remains the outstanding clinical challenge in acute myeloid leukemia (AML), the basis of relapse remains poorly characterized and thereby preventing effective therapeutic targeting. We performed gene expression analysis of human AML patient samples in addition to in vitro and in vivo assays of leukemic cell survival and self-renewal using xenograft modeling. These molecular and functional analyses afforded the identification of unique target genes that support recurrence. Preclinical modeling using these novel targets provided proof-of-principle for combination therapies towards more effective and durable suppression of AML regrowth.

Publication Title

Identification of Chemotherapy-Induced Leukemic-Regenerating Cells Reveals a Transient Vulnerability of Human AML Recurrence.

Sample Metadata Fields

Specimen part

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accession-icon GSE87806
Gene expression profiles of human Mesenchymal Stromal Cells (MSC) from JAK2+ myeloproliferative neoplasms (MPN)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study we analyzed the behavior of bone marrow MSC (BM-MSC) from MPN patients with the mutation in JAK2V617F. We initially characterized the biological function and gene expression profile changes in BM-MSC from MPN patients when compared to BM-MSC of healthy donors (HD). Then, we established co-cultures between MSC cell lines (HTERT and HS5) and the UKE-1 MPN cell line, and performed RT-PCR to study if the leukemic cells were able to modify the genes related to hematopoietic support.

Publication Title

Mesenchymal stromal cells (MSC) from JAK2+ myeloproliferative neoplasms differ from normal MSC and contribute to the maintenance of neoplastic hematopoiesis.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE92778
Niche targeting enhances endogenous healthy hematopoiesis in acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Global gene expression comparison between mesenchymal stem cells (MSCs) purified from the BM of AML patients versus healthy donors.

Publication Title

Acute myeloid leukaemia disrupts endogenous myelo-erythropoiesis by compromising the adipocyte bone marrow niche.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon SRP101460
Multicellular Transcriptional Analysis of Mammalian Heart Regeneration
  • organism-icon Mus musculus
  • sample-icon 127 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The inability of the adult mammalian heart to regenerate following injury represents a major barrier in cardiovascular medicine. In contrast, the neonatal mammalian heart retains a transient capacity for regeneration, which is lost shortly after birth. Defining the molecular mechanisms that govern regenerative capacity in the neonatal period remains a central goal in cardiac biology. Here, we construct a transcriptional atlas of multiple cardiac cell populations, which enables comparative analyses of the regenerative (neonatal) versus non-regenerative (adult) state for the first time. This work provides a comprehensive transcriptional resource of multiple cardiac cell populations during cardiac development, repair and regeneration. Our findings define a transcriptional program underpinning the neonatal regenerative state and identifies an epigenetic barrier to re-induction of the regenerative program in adult cardiomyocytes. Overall design: Cardiomyocytes, fibroblasts, leukocytes and endothelial cells from infarcted and non-infarcted neonatal (P1) and adult (P56) hearts were isolated by enzymatic dissociation and FACS. RNA sequencing (RNA-seq) was performed on these cell populations to generate a transcriptomic atlas of the major cardiac cell populations during cardiac development, repair and regeneration. In addition, we surveyed the epigenetic landscape of cardiomyocytes during post-natal maturation by performing deep sequencing of accessible chromatin regions using the Assay for Transposase-Accessible Chromatin (ATAC-seq) from purified cardiomyocyte nuclei (P1, P14 and P56).

Publication Title

Multicellular Transcriptional Analysis of Mammalian Heart Regeneration.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP045149
Genome-wide DNA methylation analysis reveals dynamic changes in the cardiac methylome during post-natal heart development (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Epigenetic modifications have emerged as central players in the coordination of gene expression networks during cardiac development. While several studies have investigated the role of histone modifications during heart development, relatively little is known about the role of DNA methylation. The purpose of the current study was to determine whether DNA methylation plays an important role in guiding transcriptional changes during the neonatal period, which is an important developmental window for cardiac maturation and cardiomyocyte cell cycle arrest. We used methyl binding domain protein sequencing (MBD-seq) and mRNA-seq to profile DNA methyation and gene expression respectively in neonatal hearts at P1 and P14 stages. Thousands of differentially methylated regions (DMRs) were identified between P1 and P14, the vast majority of which were hypermethylated. Gene ontology analysis revealed that these hypermethylated genes were associated with transcriptional regulation of important developmental signaling pathways, including Hedgehog, BMP, TGF beta, FGF and Wnt/b-catenin signaling. A significant enrichment for myogenic transcription factors and Smad2/3/4 binding sites was also noted among differentially methylated peaks at P14. This study provides novel evidence for widespread alterations in DNA methylation during post-natal heart maturation and suggests that DNA methylation plays an important role in cardiomyocyte cell cycle arrest during the neonatal period. Overall design: mRNA-seq to profile gene expression in neonatal hearts at P1 and P14 stages (post-natal day 1 and 14 respectively) in three biological replicates.

Publication Title

Dynamic changes in the cardiac methylome during postnatal development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE136031
Expression data from 4T1 subclones derived from mammary fat pad tumors (MFP), axillary lymph node tumors (AxLN), and axillary lymph node-derived lung metastases (AxLN-LuM)
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Expression data from 4T1 subclones derived from mammary fat pad tumors (MFP), axillary lymph node tumors (AxLN), and axillary lymph node-derived lung metastases (AxLN-LuM). In parallel, expression data, in the same subclones, of tail vein-derived (TV) lung metastases.

Publication Title

Histone deacetylase 11 inhibition promotes breast cancer metastasis from lymph nodes.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043115
Upf2 in NMD pathway
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Purpose: Probe the transcriptome-wide changes in the expression pattern between WT and Sertoli-specific Upf2 KO testes Methods: Total RNA were extracted from WT and Sertoli-specific Upf2 KO testes in triplicates and subject to deep-sequencing in Ion Torrent seq platform. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl-/- mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl-/- retina, with a fold change =1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of Upf2-mediated NMD pathway in Sertoli cell development Overall design: Testis mRNA profiling was generated from postnatal day 4 WT and Amh-cKO (Sertoli specific Upf2 KO) testes, in triplicates.

Publication Title

UPF2, a nonsense-mediated mRNA decay factor, is required for prepubertal Sertoli cell development and male fertility by ensuring fidelity of the transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47813
Pre-leukemic Cebpa mutant myeloid progenitors
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In this study, we use pre-malignant cells from different Cebpa mutant acute myeloid leukemia (AML) models. We have used conditional KO models (CreLoxP) and isolated hematopoietic cells shortly after induction of recombination, in order to look at pre-leukemic cells, which have acquired the first hit, but not yet undergone full malignant transformation.

Publication Title

Lack of the p42 form of C/EBPα leads to spontaneous immortalization and lineage infidelity of committed myeloid progenitors.

Sample Metadata Fields

Sex, Specimen part

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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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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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