site-specific gene expression profiling in keloid disease
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site-specific gene expression profiling in keloid disease
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创建时间：
2017-12-07
相关数据集
Gene expression data from 8 pairs of CD138+/- myeloma cell lines
8 pairs of myeloma cell lines were sorted by MACS CD138-microbead, and the each cell lines were divided into two fraction CD138+ and CD138-. We used microarrays to detail the global programme of gene
NIAID Data Ecosystem80
Additional file 4: of New insight into the mechanism underlying the silk gland biological process by knocking out fibroin heavy chain in the silkworm
Table S3. Expression levels (FPKM) of all the annotated genes. (XLS 1181Â kb)
NIAID Data Ecosystem30
MiRNA degradation by NS3 of JEV [mRNA]
In order to further determine the changes in gene expression levels of Japanese encephalitis virus (JEV) C57BL / 6 mice after infection, we used the Agilent single-channel expression profile chip as a
NIAID Data Ecosystem20
Gene expression profile of frazzled (fra) mutant Drosophila embryos
In order to analyze the global changes in gene expression resulting from loss of Fra signaling, we performed a microarray experiment comparing Drosophila embryos containing a loss of function fra[3] m
NIAID Data Ecosystem60
RNAseq of subepithelial connective tissue grafts obtained at different location and depth in the human palate. RNAseq of subepithelial connective tissue grafts obtained at different location and depth in the human palate
Aim: Identify set of genes, whose expression is dependent on the graft location in the patient’s palate (anterior vs. posterior) and depth of harvest (superficial vs. deep). The mRNA-Seq contains 64 h
NIAID Data Ecosystem20
