Sentences with phrase «cell genomic data»

Not exact matches

The family of the woman whose cells have helped advance a great deal of biological research has agreed to a case - by - case release of her genomic data

They elaborate on several focus areas described by the White House earlier: preventive vaccines, early detection, single cancer cell genomics, immunotherapy, pediatric cancer, and data sharing.

A strategic focus is to continue to develop computational tools (such as KinomeXplorer, NetworKIN, and NetPhorest) and to deploy these on genome - scale quantitative data obtained by, for example, mass spectrometry, genomic, and phenotypic screens to understand the principles of how spatio and temporal assembly of mammalian signaling networks transmit and process information at a systems level in order to alter cell behavior.

Genomic data from the HeLa cell line are also being released with the final version of the paper as a result of discussions between leaders of the National Institutes of Health (NIH) and relatives of Henrietta Lacks, from whose cervical tumor the original HeLa cell line was derived prior to her death in 1951.

Importantly, all researchers who use or generate full genomic data from HeLa cells will now be asked to include in their publications an acknowledgement and expression of gratitude to the Lacks family for their contributions.

«We have taken the data offline until the question has been resolved of whether the family consents to the public availability of genomic information on the cell line,» writes an EMBL spokesperson in an e-mail to ScienceInsider.

The study compared multiple techniques — or assays — used to analyze genomic data from a glioblastoma patient's tumor cells and normal healthy cells.

Applying these methods to prostate cancer cell lines, the researchers found that accurate predictions of drug sensitivity could be achieved using either genomics data or phosphoproteomics data alone.

Integration of our genomics, genetics, cell biological and biochemical approaches, supported with computational data mining, provides insight into the multi-layered gene expression networks and of regulatory strategies orchestrating biological processes.

Caribou Biosciences has generated hundreds of thousands of data points from engineering many thousands of genomic sites across several different cell types.

The new dependency data complement the Dependency Map team's ongoing efforts to use functional genomic technologies like CRISPR and RNA interference (RNAi) to locate vulnerabilities that arise within cancer cells as they compensate for the loss of critical genes due to mutations or expression changes.

Improving human health by enabling safer, more effective cell and gene medicines through proprietary genomics, bioinformatics and intelligent data driven design

Conventional genomic analysis from a bulk sample of cells produces data that average the differences among the individual cells within the sample.

Research Focus: I am highly trained in producing and purifying monoclonal antibodies from Hybridoma cells, performing ELISA assays, preparing primary cells from organs and analyzing cell populations using FlowJo Cytometry data analysis software, isolating genomic DNA from animal tissues, maintaining and screening numerous transgenic and knock out mice lines by PCR and FACS.

Cell biology has continued to expand ever since, extending its impact on clinical medicine and pharmacology while drawing on new technologies in bioengineering, high - resolution imaging, massive data handling, and genomic sequencing.

Researchers at the Wellcome Sanger Institute and Newcastle University have collected genomic data from over 250 thousand cells from a range of donated developing human tissues including liver, skin, kidney and placenta.

The Cancer Genome Atlas is using genomic, transcriptomic, and epigenomic measurements of cancer cells, coupled with computational approaches and rich clinical data, to understand the dysfunctions that underline the onset, progression, and spread of cancer.

Although the database described here was based on the gene expression profiling results of the FunGenES consortium, it can be easily adapted to incorporate available or future genomics data obtained in ES cells.

Specifically, we have generated clusters of transcripts that behave the same way under the entire spectrum of the sixty - seven experimental conditions; we have assembled genes in groups according to their time of expression during successive days of ES cell differentiation; we have included expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic resources.

We combine biochemical, structural, cellular and functional information using purified proteins, mutant and transgenic plants, yeast and chemical genomic screening systems, transient gene expression assays, confocal microscopy and in silico data analysis to compare ROP - centered kinase signaling during cell polarity (in vitro pollen tubes), morphogenesis (whole plant) and pathogenesis (fungi - infected cells).