Gene sequencing provides an organism's genome sequence, but
gene expression profiling reveals where and when in the body certain genes are active.
Their gene expression profile revealed striking up - regulation of peroxisome proliferator - activated receptor gamma coactivator 1alpha (an up - regulator of mitochondrial biogenesis not normally expressed in white fat), increased uncoupling proteins - 1 and -2, and down - regulation of lipogenic enzymes.
Not exact matches
Citation: Lemay DG, Ballard OA, Hughes MA, Morrow AL, Horseman ND, Nommsen - Rivers LA (2013) RNA Sequencing of the Human Milk Fat Layer Transcriptome
Reveals Distinct
Gene Expression Profiles at Three Stages of Lactation.
In a paper published in Nature Methods, postdoctoral fellows Naomi Habib, Inbal Avraham - Davidi, and Anindita Basu; core institute members Feng Zhang and Aviv Regev; and their colleagues
reveal DroNc - Seq, a single - cell
expression profiling technique that merges sNuc - Seq with microfluidics, allowing massively parallel measurement of
gene expression in structurally - complicated tissues.
Indeed using genome - wide transcriptional
profiling, the researchers
revealed that
expression of clipped H3.3 silences
genes that regulate the division and duplication of a cell.
In vitro experiments and high - throughput RNA sequencing
revealed that CTCF deletion profoundly altered the B lymphocyte transcriptional program, shifting cells from a
gene expression profile typical of the germinal center to one more similar to that seen in plasma cells.
«Our present study shows examination of the
gene expression profiles at the very early age of initial clinical detection
reveals both strong evidence of early biological processes in ASD and abnormal signals with the potential to serve as an early, practical biomarker of risk for the disorder in general pediatric settings.»
Profiling the
expression patterns of host
genes revealed that the insect significantly increases the abundance of B vitamin transporters and activation enzymes when reared in the absence of its gut microbes.
A detailed comparison of
gene expression signatures between ETP ALL tumors and and normal human hematopoietic progenitor cells
revealed a somewhat surprising finding: ETP - ALL
expression patterns were less consistent with early T - cell precursors, as might have been expected, but more similar to the
expression profile of normal hematopoietic stem cells and granulocyte macrophage precursors.
Calcification rate measurements and
gene expression analysis by microarray RNA transcriptional
profiling at two time - points (midday and night - time)
revealed several
genes common within mammalian
gene regulatory networks.
Comparison of mRNA and protein
expression revealed distinct
expression profiles for many
genes and underscores the importance of multi-omic analysis in single cells.
Proteomic analysis to
profile protein abundance resulted in the identification and relative quantification for 912 proteins with two or more unique peptides and 86 proteins with significant abundance changes after treatment with the neurotoxins, while microarray analyses to
profile gene expression revealed 181
genes with significant changes in mRNA after treatment.
MicroRNA
expression profile and functional analysis
reveal that miR - 382 is a critical novel
gene of alcohol addiction.
Mapping the
expression profiles of all
genes one cell at a time
revealed unexpected heterogeneity in the stem cell - derived lung cells, and the research team at the CReM used this information to improve the airway cells engineered in the lab.
Unbiased clustering analysis of P (+) neurons
revealed four different classes, each with distinct cell surface receptor
gene expression profiles.
Although many common
genes were expressed in the three tissues, cluster analysis based on transcript levels
revealed distinct
gene expression profiles of the d - 18 EET (Fig. 2C and SI Appendix, Fig.