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accession-icon SRP094482
Transciptiome of human primary resting CD4 T lymphocytes infected with HIV-1
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Assessing the impact of HIV-1 infection on trancriptional program of quiescent CD4 T lymphocytes. Such cells were made susceptible to HIV-1 by dowmodulating SAMHD1 restriction factor using VLP-Vpx without any activation signal.

Publication Title

CD32a is a marker of a CD4 T-cell HIV reservoir harbouring replication-competent proviruses.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE13355
Gene expression data of skin from psoriatic patients and normal controls
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression has been proposed as an intermediate phenotype that can increase power in complex trait gene-mapping studies. Psoriasis, an immune-mediated, inflammatory and hyperproliferative disease of the skin and joints, provides an ideal model system to evaluate this paradigm, as conclusive evidence demonstrates that psoriasis has a genetic basis and the disease tissue is readily accessible.

Publication Title

Genome-wide scan reveals association of psoriasis with IL-23 and NF-kappaB pathways.

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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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