Sentences with phrase «cell analyses at»

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When similar analysis was performed on the db mice, it was found that the disrupted db gene was responsible for encoding a protein that functions as a leptin receptor: When it binds circulating leptin at the cell surface, it sets in motion a biochemical cascade inside the cell.

The other significant finding of the study, says Garrett Jenkinson, Ph.D., assistant research scientist at the Johns Hopkins Whiting School of Engineering who carried out much of the analyses, was that this variability goes haywire in cancer cells, which may display significant regional differences in methylation stochasticity compared to normal cells.

Carlo Croce, a cancer researcher at Ohio State University in Columbus, and his colleagues created a diagram of interacting miRNAs for normal body cells by connecting them according to which genes they target and the function of those genes, in a way similar to analyses of human social networks.

The study, «Spectrophotometric analysis at the single - cell level: elucidating dispersity within melanic immortalized cell populations,» was supported in part by the Mizzou Advantage program, an initiative that fosters interdisciplinary collaboration among faculty, staff, students and external partners to solve real - world problems in four areas of strength identified at the University of Missouri, including Food for the Future, One Health / One Medicine, Sustainable Energy and Media of the Future.

The researchers at the Center for Anatomy and Cell Biology of the Medical University of Vienna prepared undecalcified bone thin sections from the bones and teeth of the skeletons for histological examination and analysis.

What the rover can do is detect the building blocks for those cells with its portable chemistry lab, Sample Analysis at Mars.

At 30 weeks» gestation — a little more than 2 months before normal delivery — doctors shipped off fetal cells for analysis.

These technologies offer a powerful set of tools for biological analysis at the molecular and single - cell level in the life sciences, pharmaceutical, and clinical laboratory industries.

The paper doesn't include any genetic analysis of the final eggs that confirms they are healthy, notes Mitinori Saitou, a stem cell biologist at Kyoto University in Japan whose team developed methods to create mouse egg cells from embryonic or reprogrammed stem cells.

Expression analyses revealed that these genes are active almost exclusively in testicular germ cells, where, at a minimum, they likely contribute to sperm production.

Co-first author Alice Eunjung Lee, PhD, from the lab of Peter Park, PhD, at the Center for Biomedical Informatics at Harvard Medical School, developed the study's retrotransposon analysis tool, which detects somatic retrotransposon mutations in single - cell sequencing data.

Sheldrake's basic folly, argues Wolpert, is that he is pushing the notion of morphic resonance at precisely the time when strictly biochemical analysis of cell structure and organization is close to providing a comprehensive explanation for morphogenesis, the process by which living creatures acquire their shapes.

The approach, called metabolomic analysis, provides a «chemical snapshot» that pictures in great detail what is going on within cells at a specific stage.

Chromatin immunoprecipitation sequencing analysis revealed enrichment of H3K27me3 at specific loci in KDM6A - null cells, including PRC2 / EZH2 and their downstream targets.

2 May 2012 Annual Hitachi Lectureship at AAAS Focus: From DNA Sequencer to Single Cell Analysis: Development of Innovative Technologies and Instruments Featuring: Hideki Kambara, Fellow, Hitachi, Ltd..

«This calls for a systems level approach, and network analysis techniques, to really understand how normal cells are transformed into cancer cells at the molecular level.»

The analysis of charges at more than 150 California hospitals looked at blood tests that are often required of patients, such as lipid panel, basic metabolic panel, and complete blood cell count with differential white cell count.

The three - year study included cell culture studies at Rice as well as a detailed analysis of gene - expression profiles of more than 500 patients from the Cancer Genome Atlas and protein - expression profiles from about 200 MD Anderson patients.

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.

«By combining the genetic analysis of a small population of immune cells from healthy skin with functional experiments we were able to define two subgroups of memory immune cell and in detail decipher / dissect how these cells behave in healthy and inflamed skin,» explains Liv Eidsmo, researcher at Karolinska Institutet's Department of Medicine.

In order to track the movements of biological particles in a cell, scientists at Heidelberg University and the German Cancer Research Center have developed a powerful analysis method for live cell microscopy images.

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.

Putting together their analyses of the mitochondrial DNA in each tumour cell line and the metabolic pathways at work, the team were able to deduce how each cell line's genetics directly affected its ability to multiply.

Our side by side analysis uncovers the dynamics of epigenetic programming occurring in germ cell development at single base resolution in human and mouse cells.»

The analysis indicated that 48 hours of chokeberry extract treatment of pancreatic cancer cells induced cell death at 1 ug / ml.

Using biopsies of the patients» tumors collected before the start of treatment and at the time patients developed resistance, the researchers performed large - scale genomic analyses to search for mutations specific to the cancer cells in all of each patient's 20,000 genes.

Scientists at the Computational Biology Center in IBM Research provided analytics tools and performed analysis of the data to help tease out the biological mechanisms at play in studying the micro-environment of breast cancer cells.

«Using the genome data analysis methods developed by co-author Steve Horvath at UCLA, we have uncovered crucial gene networks and we can now predict possible future genetic disorders at the eight - cell stage.»

The Norwegian analysis was done after researchers at Harvard University found these effects of the medicines in animal tests and in experiments with brain cells in the lab.

Researchers at the University of Edinburgh and the MRC Laboratory for Molecular Biology in Cambridge used molecular analysis to find that concentrations of magnesium rose and fell in a 24 - hour cycle in all cell types, and that this impacts on the cells» internal clocks.

These analyses showed that Angiopoietin - 2 is not just affecting angiogenesis, but controls at the same time the production of tumor promoting growth factors in endothelial cells.

Analysis showed that these cells were remapping their routes and finding ways to evade the drug's effect long before any changes could be detected at the clinical level.

Given the widespread use of the HeLa cell line, Lars Steinmetz and his colleagues at EMBL decided that conducting an extensive analysis of its genome could illustrate the changes caused by cancer — and also help researchers compare versions of the cell line that have evolved over decades of growth in labs around the world.

Transformed cells such as the Jurkat line may show aberrant DNA methylation patterns at specific loci [57], possibly complicating analyses of cytosine methylation and HIV - 1 latency.

(B, C) Flow cytometric analysis of HIV - 1 gene expression in (B) mock infected or (C) latently infected CD4 + T cells under non-polarizing conditions, either at the basal state or after reactivation with antibodies against CD3 and CD28.

F4 / 80 + and F4 / 80 — cells were collected into cooled FACS buffer, centrifuged at 500 g for 5 minutes, and immediately frozen for gene expression analysis.

X-ray studies at the Department of Energy's SLAC National Accelerator Laboratory, combined with Stanford biological studies and computational analysis, revealed remarkable similarities in the structure of binding sites, which allow a given T cell to recognize many different invaders that provoke an immune response.

At day 34 post infection, human CD4 + T cells were purified by positive selection prior to analysis to reduce any bias from low frequency contaminating human cells.

«We are shifting from looking at the individual cells of a tumor to a sophisticated analysis into the genetics that drive this disease.»

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.

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.

Validating this original concept, we previously demonstrated that PGD - derived hES cells and their derivatives, which express the causal mutation implicated in the Myotonic Dystrophy type 1 (DM1), offer pertinent disease - cell models, applicable for a wide systemic mechanistic analysis ranging from functional studies at the cellular level to a large - scale drug screening.

The research group headed by Mats Nilsson, professor of Biochemistry / molecular diagnostics at Stockholm University, has since the beginning of year 2000 developed new diagnostic tools based on analysis of genetic information (DNA and RNA) in cells and in body fluids.

The ECETOC Young Scientist Award at the European Societies of Toxicology (Eurotox) Annual Congress (Rhodes, Greece, 5 - 8 October 2008) went to: Ms Nathalie Lambrecht of CARDAM VITO in Belgium for her poster, entitled «Pathway analysis of dendritic cell markers for skin sensitization.»

Critical issues for this goal are the number of fetal cells which can be recovered from a blood sample, the purity of cell recovery, the quality of the recovered fetal cells DNA and the assay workflow allowing to develop a high - throughput analysis generating reliable results at a very affordable price.

Two additional panels will be established allowing more than 60 different immune markers to be monitored at the single - cell level, followed by data analysis using SB tools available at CEA.

The exploration of the therapeutic potential of stem cells requires the characterization of their biological properties, the deciphering of the mechanisms that underlie their pluripotency and their capacity at differentiation, by the understanding of the signals that direct their fate towards discrete cell phenotypes... Their therapeutic use requests further, in particular in the case of substitutive therapies, the analysis of their capacities of integration in injured adult tissues and of their potential tumorigenicity, as well as the development of original ways of delivery.

Yamanaka, 55, is now director of the Center for iPS Cell Research and Application (CiRA) at Kyoto University, which conducted the genetic analysis for the first iPS cells to be transplanted into a human.

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»

This analysis showed differential expression associated with the haplotypes at both loci, suggesting the risk haplotypes are associated with an effect on T - cell response.