We successfully established sequencing - based protocols to
quantify gene expression of thousands of single cells.
A key question is how the variety of available protocols compare in terms of their ability to detect and accurately
quantify gene expression.
Developing novel tools to
quantify gene expression in single cells As it has become increasingly apparent that gene expression in individual cells deviates significantly from the average behavior of cell populations, new methods that provide accurate integer counts of mRNA copy numbers in individual cells are needed.
From
the quantified gene expression / abundance values we can compare the controbuting sources in each individual cell, stratified by plate to see if there are any trends.
Not exact matches
In addition, the researchers have
quantified the preservation level of this
gene expression between humans and mice.
«We used the Allen Human Brain Atlas data to
quantify how consistent the patterns of
expression for various
genes are across human brains, and to determine the importance of the most consistent and reproducible
genes for brain function.»
However, that assay doesn't pinpoint the moment of activation or provide a straightforward way to
quantify the connections between microglial activation and
gene expression patterns.
They then used next generation sequencing — a state - of - the - art method to rapidly measure
gene expression — to sequence and
quantify the thousands of
genes that are expressed in hair cells, in comparison with other cells in the ear.
The problem chiefly involves antibodies, a class of proteins scientists have used for generations for everything from
quantifying receptor
expression to purifying critical
gene products.
Relative
expression was
quantified for Bsl1 and SvDwf4
genes in roots, sheaths, and 4th leaves from A10.1 seedlings at 20 DAS and inflorescence primordia at 18 DAS.
Panels B — D. mRNA
expression analysis of
genes involved in glycogen metabolism (Panel B), gluconeogenesis (Panel C), and insulin signaling (Panel D), as
quantified by transcriptome analysis, was performed in enhanced hiPS - HEP cells from C12, C18, and C22 on Day 12 post-thawing (n = 2 batches per cell line) and compared to
gene expression measurements performed on hphep cells on Day 1 post-thawing (n = 3 donors).
Since the
expression of
genes representing oxidative phosphorylation is decreased in adipose tissue of T2D twins (Table 2 and Fig. 1A), we
quantified mtDNA content to follow up these results.
These studies will investigate the consequences of ApoF knockdown on cholesterol disposition in an animal model,
quantify ApoF levels in human subjects and identify lipoprotein properties that cause ApoF to bind and subsequently inhibit cholesteryl ester transfer protein activity, and investigate the molecular mechanisms controlling ApoF
gene expression.
RNA will be
quantified by fluorimetry, retrotranscribed and then sequenced using Ion AmpliSeq ™ Transcriptome Human
Gene Expression Kit on the «Ion Proton ™» (Thermo Fisher) sequencing platform.
The inflammatory effects of insufficient sleep were
quantified in a study32 that deprived participants of sleep (just under six hours) for one week resulting in
expression of
genes associated with oxidative stress and inflammation.