Tracing the dynamics of
gene transcripts after organismal death.
Single - cell RNA sequencing allows researchers to determine the precise nature of the total
gene transcripts, or all of the genes that are actively expressed in a particular cell.
«While previous molecular studies have provided simple snapshots of
the gene transcript variations that are associated with the exposure of insects to natural and synthetic chemicals, the genomics approaches used in this study offer a significantly more complex perspective on the biochemical and physiological processes occurring in plant - insect interactions,» Schuler said.
It could help reveal which
gene transcripts could serve as early signs of toxicity and which drug combinations might be particularly dangerous, for both new and existing drugs.
This technology is based on differential expression of key
gene transcript variants (isoform - level gene expression) and was originally tested on a vast collection of glioblastoma samples made available by the University of Pennsylvania.
In order to focus on genes that share similar biological processes and correlate with the calcification process, the analysis continued for unique up - regulated
gene transcripts and total up - regulated
gene transcripts that were differentially expressed during daytime (437 genes for unique and 1,333 for total), and during night - time (267 genes for unique and 1,171 for total).
Among the total
gene transcripts that were differentially expressed during daytime six biological processes were found: Wnt signaling pathway, cell junction organization, SMAD binding, regulation of cell morphogenesis, TGF - β signaling pathway, and amino acid synthesis (Fig. 4A).
Among the total
gene transcripts that were differentially expressed during night - time four biological processes were found: protein folding, mitochondrial membrane, innate immune system, and protein targeting (Fig. 4B).
The draft genome generated by the present study covered > 70 % of the whole genome and harbored > 87 % of the known
gene transcripts, thereby constituting the most informative genome resource currently available for bay scallop.
ePheWAS, a way to identify associations between
gene transcript or protein levels and phenome was updated.
(B) Mouse host inflammatory
gene transcripts (ifn - α, il - 1β and il - 12) in mouse brains were not induced by implantation of untreated compared to heat - treated human brain homogenates.
Not exact matches
Strikingly,
transcripts of β - casein and α - lactalbumin
genes make up 45 % of the total pool of mRNA during mature lactation.
He adds that the abundance of
transcripts that overlap each
gene suggests that the very term «
gene» should mean something different inside the cell nucleus, where transcription takes place, than outside of it, where finished proteins go.
Based on the
transcript sequences, the researchers identified 1,437 new promoters — short DNA sequences where transcription begins — in or between
genes, on top of the 1,730 promoters they knew of.
Some of the
transcripts hail from noncoding DNA, the researchers report, but those that do match up with the 399 ENCODE
genes overlap with each other extensively.
Transcripts from 65 percent of the
genes incorporate pieces of DNA from relatively far outside of the
genes or even from one or two other
genes, says molecular biologist and consortium member Tom Gingeras of Affymetrix, a genome technology company in Santa Clara, Calif..
The discovery that much of the mammalian genome is transcribed, in some places without gaps (so - called transcriptional «forests»), shines a bright light on this embarrassing plentitude: an order of magnitude more
transcripts than
genes (pp. 1559, 1564, and 1529).
Researchers know that cells chop single
genes into shorter pieces called exons, which they mix and match into one
transcript for creating a protein.
One of Beaudet's graduate students — Linyan Meng — was writing her dissertation on Angelman syndrome and was wrestling with this problem when a member of her dissertation committee, Dr. Thomas Cooper, professor of pathology & immunology at Baylor, said he was working with a Carlsbad, Calif. - based company called Isis Pharmaceuticals that had anti-sense oligonucleotides that could turn off the antisense
transcript that silenced the paternal copy of the
gene.
He or she also has a paternal copy of the
gene, but it is silenced by a long ribbon of RNA called the UBE3A anti-sense
transcript.
She bred a mouse in which the antisense
transcript was «knocked down» and the paternal copy of the
gene turned on.
It shuts down all of its
genes except one — a
gene called the LATency - associated
transcript (LAT).
The same agents that damage DNA also damage its sister molecule messenger RNA (mRNA), which ferries
transcripts of the
genes to the tens of thousands of ribosomes in each cell.
Here, segments of RNA known as
transcripts — derived from specific DNA
genes — hold vital clues regarding health.
Expression of these
genes appears in the blood in the form of specific RNA
transcripts.
Single - cell differential
gene expression analysis revealed a spectrum of known
transcripts, including several linked to cytotoxic and costimulatory function that are expressed at higher levels in the TEMRA (effector memory T cells expressing CD45RA) subset, which is highly enriched for CD4 - CTLs, compared with CD4 + T cells in the central memory (TCM) and effector memory (TEM) subsets.
RNA serves as the template for translation of
genes into proteins, transferring amino acids to the ribosome to form proteins, and also translating the
transcript into proteins.
When the
transcript of the M1 RNA
gene is combined with the protein moiety not only is a tRNA precursor cleaved but also the precursor to 4.5 S RNA from Escherichia coli.
MicroRNAs are short molecules that work within all animal and plant cells, typically functioning as a «dimmer switch» for one or more
genes, binding to the
transcripts of those
genes and preventing protein production.
One
gene set that stood out involved components of the spliceosome, the molecular complex that helps prepare messenger RNA (mRNA)
transcripts for protein production by removing noncoding segments called introns.
The Neurogenomiks research group, linked to the Achucarro Basque Centre for Neuroscience (EHUgroup) and the University of the Basque Country (UPV / EHU), has just had a research article published in the scientific publication Journal of Immunology; it details how they have managed to show that the
gene known as ANKRD55 produces 3 different
transcripts of the messenger RNA, and that the genetic variant associated with MS greatly increases the production of these
transcripts.
Clariom D Pico assays allow discovery of coding and noncoding
genes, exons, and splicing events, including rare
transcripts, expanding the potential for finding novel biomarkers missed by alternative techniques.
Gene expression patterns in the hippocampus samples were examined using DNA microarrays that measured the expression levels of over 30,000
genes (
transcripts) per sample.
In a study published online in Genome Research, researchers devised a strategy for genome - wide annotation of primary miRNA
transcripts, providing extensive new annotations in human and mouse, and shedding light on mechanisms of regulation of microRNA
gene expression.
We annotated each
transcript whose expression correlated with body mass using the
Gene Ontology Consortium (http://www.geneontology.org/) and Mouse Genomics Informatics (MGI)(http://www.informatics.jax.org/) databases.
A natural process called nonsense - mediated decay, or NMD, provides cells with the ability to detect errors in the coded RNA messages, called
transcripts, that are copied from DNA when
genes are activated.
The atlas now also includes RNA
transcript data for 27 of these organ - specific tissues using next generation sequencing, providing a tissue distribution map of both protein and
gene expression.
Since using the WormBase name of W01A8.1 (MDT - 28) would be misleading, the
gene is referred here by the cosmid name W01A8.1, which gives rise to at least three protein isoforms designated W01A8.1 a, W01A8.1 b, and W01A8.1 c from at least seven different
transcripts (W01A8.1 a. 1, W01A8.1 a. 2, W01A8.1 b. 1, W01A8.1 b. 2, W01A8.1 b. 3, W01A8.1 c. 1, W01A8.1 c. 2).
A focused oligonucleotide microarray of 1,178
genes, qRT — PCR of selected
transcripts, and western analysis of hypoxia inducible factor - 1α (HIF - 1α) were used to compare retinas from the hypoxic and recovery groups to control animals that were not made hypoxic.
The Abl
gene expresses a membrane - associated protein, a tyrosine kinase, and the BCR - Abl
transcript is also translated into a tyrosine kinase.
RNA - Seq looks for the molecules (
transcripts) that
genes produce to make the proteins that control how a cell works.
ENSEMBL makes available substantial and diverse
transcript information, including the CCDS [13, 41], Human and Vertebrate Analysis and Annotation (HAVANA)[42], Vertebrate Genome Annotation (Vega)[43], ENCODE data [12] and the GENCODE
gene and
transcript sets [15].
However, despite these fragments, we were able to create a significant number of full - length
transcript models and 8,374 of these were added to the core Ensembl
gene - set.
«We are truly excited about the RNA
transcript data and the map of
gene expression that we now have for 27 different organ - specific tissues», says Professor Mathias Uhlén, Program Director of the Human Protein Atlas.
The
gene - centric visualization with data covering a majority of the human protein - coding
genes is now complemented with RNA
transcript data.
Importantly, 25 of the 115
transcripts, shared by EFTF - expressing pluripotent cells and the EF, encode for 15
genes that are both expressed in retinal stem / progenitor cells and required for normal eye formation in frogs, fish, mice, or humans (Figure 1C; Table S1).
BCR / TCR Genic / Regional Probes (372): recognizing
transcripts from
genes that undergo somatic rearrangement.
Transcript abundances and raw read counts for all annotated S. viridis
genes (v1) in the wild type compared with bsl1 - 1 mutant inflorescence primordia.
These classifications are based on large amounts of data inclusing clinical data, somatic mutations,
gene and alternative
transcript expression, or structural DNA modification, and involve high - dimensional statistical machine learning techniques.
These targets were identified based on the presence of predicted regulator binding sites or experimental regulator binding in the target promoter, and / or changes in the target
gene's
transcript levels in regulator mutant strains.