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).
Using chromatin accessibility and
gene expression measurements, we present clear evidence that lineage specific enhancer dynamics in hematopoiesis is the result of lineage specific transcription factor activity.
In the long term, genomic and quantitative spatial
gene expression measurements, captured and analysed by methods such as SpatialDE, may form the basis of histology and pathology in the clinic.
Not exact matches
P. Read Montague, professor of neuroscience at Baylor College of Medicine, says, «In a sense, every
measurement that you make in neuroscience — electrophysiological, optical,
gene expression, and so on — is imaging.
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.
Rao's team used various approaches, including assays of telomerase activity,
measurement of cell growth, and
gene expression profiling of TSY - 1 treated cells, to determine how it acts.
Still others are working to overlay
gene -
expression patterns, electrophysiological
measurements or other functional data on those maps.
• CpG methylation status quantification PyroMark ID provides highly reproducible quantification of methylation frequencies in individual consecutive CpG sites, enabling accurate
measurement of even small changes in methylation levels that are associated with deregulation of
gene expression and tumorigenesis.
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.
As calculations are based on DNA sequence data and not physical
measurements, it can tease apart the genetically determined component of
gene expression from the effects of the trait itself (avoiding reverse causality) and other factors such as environment.
«Simultaneous mutation detection, copy number
measurement, and digital
gene expression profiling of high - grade serous ovarian cancer FFPE samples using Hyb & SeqTM targeted sequencing technology»
By directly comparing the
gene expression estimates by these two techniques, using a correlation with TaqMan qRT - PCR as a benchmark, we find RNAseq provides
measurements over at least two orders of magnitude greater than the microarray, and thus correlates better with TaqMan values across a large dynamic range.
To confirm the accuracy, fidelity, and sensitivity of the method, we carried out several tests including the dilution of a pool of cDNA to levels equivalent to single cell content prior to
measurement of
gene expression in ten replicates.
Measurements of
gene expression in adipose tissue and muscle were uninformative, which suggests effects at a metabolic level.