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accession-icon GSE31415
Comparison of WAT CD34+ vs LAF CD34+
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A catalytic role has been proposed in neoplastic angiogenesis and cancer progression for bone marrow-derived endothelial progenitor cells (EPCs). However, in preclinical and clinical studies the quantitative role of marrow-derived EPCs in cancer vascularization was found to be extremely variable. Adipose tissue represents an attractive source of autologous adult stem cells due to its abundance and surgical accessibility. CD34+cells from Lipotransfer aspirates (LAs) of patients undergoing breast reconstruction after breast cancer surgery were compared with CD34+ cells from Leucapheresis of normal subjects.

Publication Title

The white adipose tissue used in lipotransfer procedures is a rich reservoir of CD34+ progenitors able to promote cancer progression.

Sample Metadata Fields

Sex

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accession-icon GSE9878
Gene expression analysis of Pax5-/- proB cells transduced with control or EBF retrovirus.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We have determined that sustained expression of EBF suppresses alternate lineage genes independently of Pax5.

Publication Title

Transcription factor EBF restricts alternative lineage options and promotes B cell fate commitment independently of Pax5.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52717
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE52712
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells: Affymetrix array data
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Accurate profiling of RNA expression of single cells is a valuable approach for broadening our understanding of cancer biology and mechanisms of dissemination, but requires the development of reliable methods for their molecular characterization. Here we evaluate a single cell methodology which generates microgram amounts of cDNA suitable for next generation sequencing (RNA-Seq), high throughput RT-qPCR and Affymetrix array analysis. The approach was tested by comparing expression profiles of amplified single MCF7 and MCF10A cells to profiles generated from unamplified RNA. The expression profiles were compared by Affymetrix-U133 arrays, RNA-Seq and high-density qPCR. There were strong cross-platform correlations of >80% and concordance between single cell and unamplified material of >70%. We exemplify the approach through analysis of rare sorted cancer initiating cells (CICs) derived from a NSCLC patient-derived xenograft. Populations of 10 cells from total tumour and two distinct subsets of CIC, putatively involved in primary tumor maintenance or metastasis formation were FACS sorted then directly amplified. CIC expression profiles strongly correlated with published stem-cell and epithelial-mesenchymal transition (EMT) signatures. Our results confirm the utility of the amplification system and our methodology to detect and distinguish RNA profiles in rare cell populations that inform on EMT and stem-cell characteristics. This GEO dataset comprises the Affymetrix U-133 Plus 2.0 data for MCF7 and MCF10A cDNA amplified from 1ng RNA and single cell samples.

Publication Title

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE149548
Denatonium as a bitter taste receptor agonist modifies transcriptomic profile and functions of acute myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Bitter taste receptors (T2Rs) are typical G-protein coupled receptors expressed in various tissue where they are involved in the regulation of physiological processes, thus suggesting a wider function in sensing microenvironment. We analyzed their expression and role in acute myeloid leukemia (AML). AML cells express functional T2Rs and their stimulation with the agonist, denatonium benzoate, substantially modified the AML cell transcriptomic profile and functions. GEP analysis identified relevant cellular processes affected by denatonium treatment in AML, including cell cycle, survival, migration and metabolism. More precisely, T2R activation reduced proliferation by inducing cell cycle arrest in G0/G1 phase or induced apoptosis via caspase cascade activation; impaired AML cell motility and migratory capacity; inhibited cellular respiration by decreasing glucose uptake and oxidative phosphorylation.

Publication Title

Denatonium as a Bitter Taste Receptor Agonist Modifies Transcriptomic Profile and Functions of Acute Myeloid Leukemia Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE11675
Chronic myelogenous leukemia hematopoietic stem cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

We show the molecular and functional characterization of a novel population of lineage-negative CD34-negative (Lin- CD34-) hematopoietic stem cells (HSCs) from chronic myelogenous leukemia (CML) patients at diagnosis. Molecular caryotyping and quantitative analysis of BCR/ABL transcript demonstrated that about one third of CD34- was leukemic. CML CD34- cells showed kinetic quiescence and limited clonogenic capacity. However, stroma-dependent cultures and cytokines induced CD34 expression on some HSCs, cell cycling, acquisition of clonogenic activity and increased expression of BCR/ABL transcript. CML CD34- cells showed an engraftment rate in immunodeficient mice similar to that of CD34+ cells. Gene expression profiling revealed the down-regulation of cell cycle arrest genes together with genes involved in antigen presentation and processing, while the expression of angiogenic factors was strongly up-regulated when compared to normal counterparts. Flow cytometry analysis confirmed the significant down-regulation of HLA class I and II molecules in CML CD34-cells. Increasing doses of imatinib mesilate (IM) did not affect fusion transcript levels, BCR-ABL kinase activity and the clonogenic efficiency of CML CD34- cells as compared to leukemic CD34+cells.

Publication Title

Molecular and functional analysis of the stem cell compartment of chronic myelogenous leukemia reveals the presence of a CD34- cell population with intrinsic resistance to imatinib.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP093986
Next Generation Sequencing of polyA+ RNA of cultured neural stem/progenitor cells (NSC) from mouse neonatal forebrain [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We report the application of single-molecule-based sequencing technology for high-throughput profiling of NSC transcriptome. Overall design: Wild type and Sox2-deleted NSC were sequenced; three independent samples from wild type, and three from Sox2-deleted brains (different individual mice).

Publication Title

Mapping the Global Chromatin Connectivity Network for Sox2 Function in Neural Stem Cell Maintenance.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE93529
Mechanical cues control mutant p53 stability through a Mevalonate/RhoA axis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate the genes differentially expressed upon plating on top of matrixes with different stiffness, we compared the expression profiles of MDA-MB-231 breast cancer cells plated on a stiff substrate (plastic) with the same cells plated on a soft substrate (hydrogels 0.7 kPa).

Publication Title

Mechanical cues control mutant p53 stability through a mevalonate-RhoA axis.

Sample Metadata Fields

Cell line

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accession-icon SRP040328
Parallel T-cell cloning and deep sequencing of the transcripts of human MAIT cells reveal stable oligoclonal TCRß repertoire
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Mucosal-associated invariant T (MAIT) cells are abundant in humans and recognize conserved bacterial antigens derived from riboflavin precursors, presented by the non-polymorphic MHC class I-like molecule MR1. Here, we show via transcriptomic analysis that human MAIT cells are remarkably oligoclonal in both blood and liver, display high inter-individual homology, and exhibit a restricted length CDR3ß domain of the TCRVß chain. We extend this analysis to a second sub-population of MAIT cells expressing a semi-invariant TCR conserved between individuals. Overall design: Study of CDR3 regions of TCRalpha and beta sequences

Publication Title

Parallel T-cell cloning and deep sequencing of human MAIT cells reveal stable oligoclonal TCRβ repertoire.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058534
ELAVL2-regulated transcriptional networks in human neurons link atlernative splicing, autism and human neocortical evolution
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The role of post-transcriptional gene regulation in human brain development and cognitive diseases remains mostly uncharacterized. ELAV-like RNA binding proteins are a family of proteins that regulate several aspects of neuronal function including neuronal excitability and synaptic transmission. Here, we identify the downstream transcriptional networks of ELAVL2, an RNA-binding protein with unknown function in the brain. We knockdown expression of ELAVL2 in human neurons and conduct RNA-sequencing, identifying networks of differentially expressed and alternatively spliced genes with altered ELAVL2. These networks contain autism-relevant genes as well as previously identified targets of other RNA binding proteins implicated in autism spectrum disorders such as RBFOX1 and FMRP. ELAVL2-regulated coexpression networks are also enriched for synaptic genes as well as genes with human-specific patterns of gene expression in the frontal pole. Together, these data suggest that ELAVL2 regulation of transcript expression is critical for neuronal functions at risk in autism spectrum disorders and such mechanisms of post-transcriptional gene regulation may have contributed to human brain evolution. Overall design: We carried out RNA-sequencing (RNA-seq) of human neural progenitors cells. For the RNA-seq, 5 indipendent replicates were used for the neural progenitor cells. Primary human neural progenitor cultures were derived from mid-gestation fetal brain. Cells were transduced with a lentivirus containing a specific shRNA to ELAVL2 or a control shRNA. Cells were differentiated into neurons for 4 weeks and then harvested.

Publication Title

ELAVL2-regulated transcriptional and splicing networks in human neurons link neurodevelopment and autism.

Sample Metadata Fields

No sample metadata fields

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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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