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accession-icon GSE6966
Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE6942
Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers (430A)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The ability to purify to homogeneity a population of hepatic progenitor cells from adult liver is critical for their characterization prior to any therapeutic application. As a step in this direction, we have utilized gene profiling of a bipotential liver cell line from dpc 14 mouse embryonic liver to catalog genes expressed by liver progenitor cells. These cells, known as Bipotential Mouse Embryonic Liver (BMEL) cells, proliferate in an undifferentiated state and are capable of differentiating into hepatocyte-like and cholangiocyte-like cells in vitro. Upon transplantation, BMEL cells are capable of differentiating into hepatocytes and cholangiocytes in vivo. Microarray analysis of gene expression in the 9A1 and 14B3 BMEL cell lines grown under proliferating and differentiating conditions was used to identify cell surface markers preferentially expressed in the bipotential undifferentiated state. This analysis revealed that proliferating BMEL cells express many genes involved in cell cycle regulation whereas differentiation of BMEL cells by cell aggregation causes a switch in gene expression to functions characteristic of mature hepatocytes. In addition, microarray data and protein analysis indicated that the Notch signaling pathway could be involved in maintaining BMEL cells in an undifferentiated stem cell state. Using GO annotation, a list of cell surface markers preferentially expressed on undifferentiated BMEL cells was generated. One marker, Cd24a, is specifically expressed on progenitor oval cells in livers of DDC treated animals. We therefore consider Cd24a expression a candidate molecule for purification of hepatic progenitor cells.

Publication Title

Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE6957
Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers (430)
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The ability to purify to homogeneity a population of hepatic progenitor cells from adult liver is critical for their characterization prior to any therapeutic application. As a step in this direction, we have utilized gene profiling of a bipotential liver cell line from dpc 14 mouse embryonic liver to catalog genes expressed by liver progenitor cells. These cells, known as Bipotential Mouse Embryonic Liver (BMEL) cells, proliferate in an undifferentiated state and are capable of differentiating into hepatocyte-like and cholangiocyte-like cells in vitro. Upon transplantation, BMEL cells are capable of differentiating into hepatocytes and cholangiocytes in vivo. Microarray analysis of gene expression in the 9A1 and 14B3 BMEL cell lines grown under proliferating and differentiating conditions was used to identify cell surface markers preferentially expressed in the bipotential undifferentiated state. This analysis revealed that proliferating BMEL cells express many genes involved in cell cycle regulation whereas differentiation of BMEL cells by cell aggregation causes a switch in gene expression to functions characteristic of mature hepatocytes. In addition, microarray data and protein analysis indicated that the Notch signaling pathway could be involved in maintaining BMEL cells in an undifferentiated stem cell state. Using GO annotation, a list of cell surface markers preferentially expressed on undifferentiated BMEL cells was generated. One marker, Cd24a, is specifically expressed on progenitor oval cells in livers of DDC treated animals. We therefore consider Cd24a expression a candidate molecule for purification of hepatic progenitor cells.

Publication Title

Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE85114
A transcriptomic signature of mouse liver progenitor cells
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A transcriptomic meta-analysis of over 400 microarrays was undertaken to compare LPC lines against datasets of; muscle and embryonic stem cell lines, embryonic and developed liver (DL), and HCC. Uploaded here, is the array data from seven of the ten LPC lines used. These seven were prepared in our laboratory. The remaining LPC arrays and arrays from other tissues/cells were obtained from the GEO.

Publication Title

A Transcriptomic Signature of Mouse Liver Progenitor Cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP094498
Systemic human ILC precursors provide a substrate for tissue ILC differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Innate lymphoid cells (ILC) represent innate versions of T helper and cytotoxic T cells that differentiate from committed ILC precursors (ILCP). Still, how ILCP relate to mature tissue-resident ILCs remains unclear. We observed that a population of CD117+ ILC from peripheral blood (PB) of healthy donors does not represent any conical ILC subset, but expressed marker (CD117) commonly expressed by hemato-lymphoid progenitors. We therefore hypothesized PB CD117+ ILC might include uncommitted lymphoid precursors. In order to further understand the identity of PB CD117+ ILC, we profiled the transcriptome of highly purified circulating CD117+ ILC compared to CD34+ HSC, the latter representing immature hematopoietic progenitors with multi-lineage potential. Clear differences in gene expression profiles emerged, with a large cluster of 1540 genes expressed at substantially higher levels in CD117+ ILC. In contrast, CD34+ HSC cells highly expressed genes involved in the broad development of diverse hematopoietic lineages. Compared to HSC, CD117+ ILC express high levels of TF that have been shown to be essential for murine ILC development and we did not detect transcripts characteristic of T and B cells development. Transcriptomic analysis suggested that CD117+ ILC represent lymphoid-biased progenitors carrying a TF expression profile resembling a multi-potent ILC precursor (ILCP). Overall design: CD117+ ILC and CD34+ HSC were freshly isolated by FACS of peripheral blood of two healthy adult individuals. In total, 4 samples were analyzed and comparing between two cell populations.

Publication Title

Systemic Human ILC Precursors Provide a Substrate for Tissue ILC Differentiation.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

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accession-icon SRP077076
RNA sequencing of triple-negative breast cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

NGS from RNA-seq of triple-negative breast cancer cell lines under standard growth conditions were obtained to identify transcriptional features associated with individual triple-negative breast cancer subtypes. All lines identified have been authenticated by short-tandem repeat sequencing and tested to be negative for mycoplasma.

Publication Title

Diverse, Biologically Relevant, and Targetable Gene Rearrangements in Triple-Negative Breast Cancer and Other Malignancies.

Sample Metadata Fields

Sex, Specimen part, Disease, Cell line

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accession-icon SRP156618
Transcriptomic profile of crwn mutants (CROWDED NUCLEI)
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq data of crwn1, crwn2, crwn4, crwn1 crwn2 and crwn1 crwn4

Publication Title

Loss of CRWN Nuclear Proteins Induces Cell Death and Salicylic Acid Defense Signaling.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE14325
Malignant Fibrous Histiocytoma - Pleomorphic Sarcoma, NOS -Gene expression, Histology and clinical course -A pilot study
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This study was performed to identify gene expression differences in not otherwise specified soft tissue sarcomas (NOS, malignant fibrous histiocytomas) and correlate them to histological findings and the clinical course. RNA was isolated and differential gene expression was analysed by the microarray technique.

Publication Title

Malignant fibrous histiocytoma--pleomorphic sarcoma, NOS gene expression, histology, and clinical course. A pilot study.

Sample Metadata Fields

Sex

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accession-icon GSE76296
ATMIN function in p53-deficient GBM
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

We report the expression anaysis of neural stem cells lacking p53, ATMIN, or both. p53-deficent cells form GBM, which is significanly delayed in the absence of ATMIN.

Publication Title

Inactivation of the ATMIN/ATM pathway protects against glioblastoma formation.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-1851
Transcription profiling of human hepatoblastoma identifies a 16 gene signature for invasive and metastatic blastomas
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Hepatoblastoma, the most common pediatric liver cancer, is tightly linked to excessive Wnt/�-catenin signaling. Microarray analysis identified two tumor subclasses resembling distinct phases of liver development, and a 16-gene signature discriminated invasive and metastatic hepatoblastomas, and predicted prognosis with high accuracy. <br></br>

Publication Title

Hepatic stem-like phenotype and interplay of Wnt/beta-catenin and Myc signaling in aggressive childhood liver cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, 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)

fund-icon Fund the CCDL

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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