To make BinoX directly usable for other researchers, a public web server http://PathwaX.sbc.su.se (Ogris et al., 2016b) was set up for on - line pathway
analysis of single gene sets, which applies the BinoX algorithm to all KEGG pathways and FunCoup networks.
Not exact matches
Their preliminary
analysis revealed several mutations known as
single nucleotide polymorphisms (SNPs) in the ALR
gene, many
of which haven't been identified before.
Working with this hypothesis, the researchers conducted a statistical
analysis of the CX3CR1
gene in over 7000 schizophrenia and autism patients and healthy subjects, finding one mutant candidate, a
single amino acid switch from alanine to threonine, as a candidate marker for prediction.
Unlike other autoimmune disorders with associated risk factors, APECED is clearly caused by a mutation in a
single gene, based on
analyses of affected families.
Using a combination
of old - fashioned clinical observation and modern biochemical
analysis, he has shown that a person's appetite and their eating behavior can be linked to specific
genes — and that even a tiny defect such as the absence
of a
single nucleic acid in a sequence
of DNA can lead to runaway weight gain.
The tool acts with surgical precision to replace only abundances that have most likely dropped out and can be used in any type
of single - cell
gene - expression
analysis.
Results from a statistical
analysis shows a cluster
of SNPs —
single nucleotide polymorphisms — in one section
of a
single gene, indicating the location
of a mutation likely linked to autism.
Labs have started tackling the problem with a tool called
single - cell transcriptome
analysis, which gives readouts
of all the
genes that are active in individual cells.
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.
He has worked in the biotech industry as a research scientist for over 11 years with a focus on emerging technologies including
gene targeting in mice, molecular
analysis of transgenes using GFP variants at the
single cell level, and developing flow cytometry reagent kits to speed up assay development time for researchers.
Further
analysis revealed that a
single - letter change in the
gene accounted for 46 per cent
of the population's hair colour variation, with the blonde allele being recessive to the dark hair allele.
Typically, genome
analysis studies primarily look for
single changes — one altered unit
of DNA — not wholesale copying or halving
of genes.
This
single cell transcriptome
analysis followed by computational
analyses enabled the team to identify the
gene expression profiles
of cells in the process
of changing from ES cells to 2CLCs.
Previous genetic studies have examined the association
of aspirin, NSAIDs, or both with colorectal cancer according to a limited number
of candidate
genes or pathways.6 - 10 Thus, to comprehensively identify common genetic markers that characterize individuals who may obtain differential benefit from aspirin and NSAIDs, we conducted a discovery - based, genome - wide
analysis of gene × environment interactions between regular use
of aspirin, NSAIDs, or both and
single - nucleotide polymorphisms (SNPs) in relation to risk
of colorectal cancer.
Technological advances in genetic
analysis have uncovered changes in
single genes that account for a surprising number
of infantile and early - childhood epilepsies.
This has led to the
analysis of single cell
gene expression - ie which
genes are switched on in a cell.
Sequencing accelerates the
analysis of cancer associated alterations in genome sequence such as insertions and deletions, CNVs, inversions, duplications, translocations and
gene fusions, as well as
single nucleotide variants.
Topics for the scientific sessions are:
Single cell genomics and
gene expression Genetic interactions RNAi and somatic cell genetics Protein - DNA interactions Cancer The meeting also highlights existing opportunities for academic and industrial researchers to access automated cell - based and biochemical technologies based at the Karolinska High Throughput Center; home to one
of the most sophisticated, state -
of - the - art, ultra-high performance liquid handling and
analysis platforms in Europe.
Analysis of a linkage peak on chromosome 13 with a dense set
of SNPs (
single nucleotide polymorphisms) revealed a four - SNP haplotype spanning the
gene encoding FLAP (ALOX5AP) that confers an approximately twofold increased risk
of myocardial infarction, or heart attack.
Bethesda, USA (2016 - present) Research areas: Super-resolution microscopy,
single - molecule imaging,
gene expression, computational modeling and data
analysis This section includes all projects during my postdoctoral research stay at the National Institutes
of Health in Bethesda, MD (Unites States): (9) Understanding
gene expression in eukaryotic cells»
After careful
analysis of over 80,000 ESTs to find full - length cDNA clones, including verification
of the 3» ends
of these clones, we have selected 5,849 non-redundant cDNA clones for
single colony purification and re-arraying (see What is the Drosophila
Gene Collection?
We are using live cell imaging,
single cell
analysis and
gene editing to resolve the molecular determinants
of human epidermal progenitor cell division outcomes (two progenitors, two differentiating cells or one or each) and the mode
of cell division (maintenance mode vs repair mode).
Comparison
of mRNA and protein expression revealed distinct expression profiles for many
genes and underscores the importance
of multi-omic
analysis in
single cells.
The researchers believe noise could play a role, so they combine
single - molecule
analysis with time - lapse movies
of individual cells to track random activity in many different
genes as the cells switch states.
In the first paper, utilizing genomic
analysis of nearly 8,500 Icelandic and Dutch participants, the deCODE team identified a novel, tightly - linked pair
of single - letter variants (SNPs) near the ASIP (agouti signaling protein)
gene on chromosome 20 that greatly increase the likelihood
of an individual being prone to freckles and sunburn.
Another common theme identified in the
analysis revealed that students did not fully understand concepts related to heredity and patterns
of inheritance (14 %); these essays reflected studentsâ $ ™ belief that
single genes are the cause
of traits and inherited diseases.
This section invites manuscripts describing (a) Linkage, association, substitution or positional mapping and epigenetic studies in any species; (b) Validation studies
of candidate
genes using genetically - engineered mutant model organisms; (c) Studies focused on epistatis and
gene - environment interactions; (d)
Analysis of the functional implications of genomic sequence variation and aim to attach physiological or pharmacogenomic relevance to alterations in genes or proteins; (e) Studies of DNA copy number variants, non-coding RNA, genome deletions, insertions, duplications and other single nucleotide polymorphisms and their relevance to physiology or pharmacology in humans or model organisms, in vitro or in vivo; and (f) Theoretical approaches to analysis of sequence va
Analysis of the functional implications
of genomic sequence variation and aim to attach physiological or pharmacogenomic relevance to alterations in
genes or proteins; (e) Studies
of DNA copy number variants, non-coding RNA, genome deletions, insertions, duplications and other
single nucleotide polymorphisms and their relevance to physiology or pharmacology in humans or model organisms, in vitro or in vivo; and (f) Theoretical approaches to
analysis of sequence va
analysis of sequence variation.
Our
analysis of 23,184 cells identifies 15 clusters, few
of which could be fully characterised by a
single marker
gene.
The pre-publication data that we release via this website is embargoed for publication except for
analyses of single chromosomes in
single strains or
single gene loci across multiple strains.
Similar results are observed in DE
analyses of real data where the use
of count sums instead
of single - cell counts improves specificity and the ranking
of relevant
genes.
The present study shows that such a gradient is also seen at the level
of single cell
analysis, but reveals that there is considerable cell - to - cell variation within this gradient in the expression
of pluripotency
genes.
Genome - wide
analysis of CNVs revealed that a
single copy
of the mdr1
gene on chromosome 5 and a novel amplification
of the plasmepsin 2 and plasmepsin 3
genes on chromosome 14 also associate with raised piperaquine IC
50 s.
The
analysis of chromosomal inheritance patterns indicated a
single functional and positional candidate
gene and led to the discovery
of the COLQ c. 1010T > C mutation; however, our approach does not exclude the possibility that another mutation exists in a novel CMS
gene.