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accession-icon SRP104440
Changes in gene expression due to alpha-crystallin mutations cryaa-R49C and cryab-R120G in mutant knock-in mouse lenses
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To investigate the relationship between histones, chaperone function, and cataracts, we performed RNA-seq, isothermal titration calorimetry (ITC), size-exclusion chromatography, and gel electrophoresis of histones. The RNA-seq of postnatal lenses from 2-day-old cryaa -R49C  mice revealed increased histone gene expression, suggesting that a a-crystallin mutation regulates histones via a transcriptional mechanism . Overall design: RNA-seq studies on lenses of 2-day-old wild-type and 2-day-old cryaa-R49C heterozygous mutant and cryaa-R49C homozygous mutant knock-in mice; and 14-day old wild-type and 14-day-old cryab-R120G heterozygous mutant and cryab-R120G homozygous mutant knock-in mice

Publication Title

Probing the changes in gene expression due to α-crystallin mutations in mouse models of hereditary human cataract.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP034698
Characterization of the Merkel cell carcinoma miRNome
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

MicroRNAs have been implicated in various skin cancers, including melanoma, squamous cell carcinoma, and basal cell carcinoma; however, the expression of microRNAs and their role in Merkel cell carcinoma (MCC) have yet to be explored in depth. To identify microRNAs specific to MCC (MCC-miRs), next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin. Comparison of the profiles identified several microRNAs upregulated and downregulated in MCC. For validation, their expression was measured via qRT-PCR in a larger group of MCC and in a comparison group of non-MCC cutaneous tumors and normal skin. Eight microRNAs were upregulated in MCC: miR-502-3p, miR-9, miR-7, miR-340, miR-182, miR-190b, miR-873, and miR-183. Three microRNAs were downregulated: miR-3170, miR-125b, and miR-374c. Many of these MCC-miRs, with the miR-183/182/96a cistron in particular, have connections to tumorigenic pathways implicated in MCC pathogenesis. In situ hybridization confirmed that the highly expressed MCC-miR, miR-182, is localized within tumor cells. Furthermore, NGS and qRT-PCR reveals that several of these MCC-miRs are highly expressed in the patient-derived MCC cell line, MS-1. These data indicate that we have identified a set of MCC-miRs with high implications for MCC research. Overall design: To identify microRNAs specific to Merkel cell carcinoma (MCC) next-generation sequencing (NGS) of small RNA libraries was performed on different tissue samples including MCCs, other cutaneous tumors, and normal skin

Publication Title

Characterization of the Merkel Cell Carcinoma miRNome.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP071739
Changes in RNA expression in human oral cavity carcinoma cells as a result of LDB1 reduction
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The study was designed to identify differential expressed genes between human oral cavity carcinoma cell lines with and without LDBI knockout Overall design: Three parental human oral cavity carcinoma cell lines were used as control, LDB1 was knocked out in the three parent cell lines to create KO cell lines.

Publication Title

LIM-Only Protein 4 (LMO4) and LIM Domain Binding Protein 1 (LDB1) Promote Growth and Metastasis of Human Head and Neck Cancer (LMO4 and LDB1 in Head and Neck Cancer).

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19472
Esophageal keratinocyte invasion after loss of E-cadherin and TGF receptor type II
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Esophageal cancer is one of the deadliest cancers as patients present at late stages of disease. Frequent gene alterations include the loss of E-cadherin and TGFb receptor type II. The goal of this study was to establish a model of esophageal cancer by introducing dominant-negative mutants of E-cadherin and TGFb receptor II.

Publication Title

Imbalance of desmoplastic stromal cell numbers drives aggressive cancer processes.

Sample Metadata Fields

Cell line

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accession-icon GSE36776
Genome wide analysis of skin cancer cell gene expresison exposed to stromal cancer associated fibroblasts in 3D gel matrix
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SCC12 cells were seeded ontop of organotypic gels with HN-CAF (head and neck carcinoma associated fibroblasts). Differential gene expression was analysed between cancer cells not exposed to CAFs or non-invading cancer cells exposed to CAFs.

Publication Title

Imbalance of desmoplastic stromal cell numbers drives aggressive cancer processes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP078256
Fat cells regenerate from myofibroblasts during wound healing
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report transcriptomes of myofibroblasts from mouse skin wounds. Myofibroblasts were FACS sorted as Zombie-neg;tdTomato-hi cells from Sm22-Cre;TdTomato mice. We identified and analyzed 4,120 differentially expressed transcripts across four post-wounding time points, day 12, day 15, day 21 and day 26. Overall design: Examination of FACS sorted wound myofibroblasts from four consecutive post-wounding time points

Publication Title

Regeneration of fat cells from myofibroblasts during wound healing.

Sample Metadata Fields

Specimen part, Subject

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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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