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mRNA-Seq Liposarcoma cell lines. SA-4 and SW872
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创建时间:
2019-04-30
相关数据集
Summary of microarray expression profiles and sample information.
$:Van Vliet et. al. have described a pooled six-dataset [15]. Five components were collected from the NCBI’s Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) with the following identifi
NIAID Data Ecosystem50
EFNB1 expression is differentially expressed in ERMS patients compared to ARMS patients.
(A) Quantitative RT-PCR showing expression of EFNB1 in a panel of ERMS (RD, 381T, SMS-CTR, Rh6, and 617T) and ARMS (Rh3, Rh5, and Rh30) cell lines and myoblasts (MB) as a reference for normal muscle.
NIAID Data Ecosystem30
caArray_dobbi-00100: Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays. Homo sapiens
A key step in bringing gene expression data into clinical practice is the conduct of large studies to confirm preliminary models. The performance of such confirmatory studies and the transition to cli
NIAID Data Ecosystem20
Cancer associated mRNAs regulated by the Helix Loop Helix motif of human EIF3A. Cancer associated mRNAs regulated by the Helix Loop Helix motif of human EIF3A
Improper regulation of translation initiation, a vital check-point of protein synthesis in the cell, has been linked to a number of cancers. Overexpression of protein subunits of eukaryotic translatio
NIAID Data Ecosystem30
Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (RNA-Seq)
Purpose: Identification of core transcriptional regulatory programs and bromodomain and extraterminal (BET) protein dependency in liposarcoma (LPS) Methods: ChIP-seq and RNA-seq were performed on LPS
NIAID Data Ecosystem20



