Sentences with phrase «cell sequencing methods»

For this purpose we apply single - cell sequencing methods and single - molecule FISH.

Not exact matches

Scientists investigating the earliest stages of cancer development used an exquisitely sensitive sequencing method capable of detecting DNA mutations present in as few as 1.6 per cent of blood cells, to analyse 15 locations in the genome, which are known to be altered in leukemia.

As costs come down and methods become more standardized, experts in the field expect single - cell sequencing to become the new model for both transcriptomic and genomic studies.

DNA sequencing is used for mapping the sequence of the base pairs, which our DNA consists of, and ChIP sequencing is a derived method in which the sequences are used to determine the presence of different cell components in the genome at a given time.

They then used next generation sequencing — a state - of - the - art method to rapidly measure gene expression — to sequence and quantify the thousands of genes that are expressed in hair cells, in comparison with other cells in the ear.

The single - cell technique is better at detecting subtle mosaicism than usual DNA sequencing methods, which sequence many thousands or millions of cells mixed together and read out an average for the sample.

The researchers used the power of gene sequencing and clever computational methods to uncover the «source code» for human endothelial cells and learn how that code is disturbed in human disease.

Navin's team developed Nuc - Sec as a single - cell genome sequencing method and applied it to study how cell mutations occur in both types of breast cancer.

In order to locate all gene switches, the Freiburg research team used modern sequencing methods to examine the entire genome — DNA, epigenetic markers and RNA — during the development, maturation and disease of human cardiac muscle cells.

Reported in Nature Methods today, the new open source computer tool called Single Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers Methods today, the new open source computer tool called Single Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers to Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers methods of analysing single - cell RNA sequence data, and is freely available for researchers to cell RNA sequence data, and is freely available for researchers to use.

Dr Vladimir Yu Kiselev, first author from the Sanger Institute, said «We created the new SC3 tool to analyse complex single - cell RNA - sequence data, and showed that it is more robust and accurate than existing methods at grouping cells.

Dr Martin Hemberg, lead author on the paper from the Wellcome Trust Sanger Institute, said: «It has been difficult to fully exploit single - cell RNA - sequence data due to the current lack of computational methods for analysing them.

Now a team at the Wyss Institute of Biologically Inspired Engineering at Harvard University and Harvard Medical School, in collaboration with the Allen Institute for Brain Science, has developed a new method that allows scientists to pinpoint thousands of mRNAs and other types of RNAs at once in intact cells — all while determining the sequence of letters, or bases, that identify them and reveal what they do.

Existing technology, known as next - generation sequencing (NGS), measures genomes derived from millions of cells versus the newer method for single - cell sequencing, called Monovar.

Using a method known as high throughput sequencing (HTS), the team was able to determine how many distinct malignant cells were present within a sample of healthy cells.

«The method we used involved the sequencing and quantification of RNA molecules in individual cell fragments, something that was never done before,» says Dr. Thijs Ettema, associate professor at the Department of Cell and Molecular Biology, Uppsala University, who led the stcell fragments, something that was never done before,» says Dr. Thijs Ettema, associate professor at the Department of Cell and Molecular Biology, Uppsala University, who led the stCell and Molecular Biology, Uppsala University, who led the study.

The researchers gathered single cells of warnowiids off the coasts of B.C. and Japan, sequenced their genomes, and analyzed how the eyes are built using new methods in electron microscopy that allow the reconstruction of three dimensional structures at the subcellular level.

Using next - generation sequencing, the U.K. team showed that the iPS cells» genome was «clean» — the gene - editing methods had not added any new mutations.

Using methods such as single cell sequencing, proteomics, and microscopy will allow exploration of this invisible and important world with great accuracy and depth.»

In the new study, Sunney Xie of Peking University and Harvard University teamed up with Qiao and Fuchou Tang of Peking University to develop a method for sequencing the entire genomes of polar bodies — cells that arise as a byproduct of egg cell division and often die later on.

Through whole - genome sequencing of individual egg cells, the new method detects chromosomal abnormalities and DNA sequence variations associated with genetic disorders.

In order to locate all gene switches, the Freiburg research team used modern sequencing methods to examine the entire genome - DNA, epigenetic markers and RNA - during the development, maturation and disease of human cardiac muscle cells.

«Since MCR works by targeting specific DNA sequences, in cases where diseased cells have altered DNA as in HIV - infected individuals or some types of cancer, MCR - based methods should be able to distinguish diseased from healthy cells and then be used to selectively either destroy or modify the diseased cells.»

To determine expression levels, in traditional sequencing methods a mix of millions of cells is used.

The technique is an economical method that sequences a cell's complete set of transcripts and obtains live imaging data for each individual cell.

Einstein Researchers Publish Single - Cell Sequencing Prep Method, Launch Firm to Provide Service - Genomeweb, April 2017

-- Combining the detailed information from existing single cell analysis with our in situ sequencing method can be powerful and find great use in both research and diagnostics, says Mats Nilsson.

By integrating the sequence data and the associated metadata, we have established laboratory and bioinformatics - based methods that enable us to investigate scientific questions including: the tropism of ZIKV for dendritic cells and the antiviral response of the cells during infection (Bowen et al. 2017); investigating the phylogenetic diversity of strains obtained by Biodefense and Emerging Infections (BEI) Resources and distributed to virologists (manuscript in preparation); the genetic determinants of ZIKV host adaptation in C6 / 36 mosquito vs. Vero cells; and the diversity of ZIKV circulating in limited geographic regions, including Barbados, Colombia, and the state of Chiapas, Mexico.

Development of methodology to facilitate single cell studies of structural variation, and integrating state - of - the - art microscopy methods with single cell sequencing.

He'd like a way to perform single - cell analysis using microarrays, instead of full sequencing, but chip - based bisulfite methods require more nucleic acid — about a microgram — than one cell can provide.

Other areas of instrument development include DNA sequencing, cell fractionation, light and electron microscopy methods, mass spectrometry of proteins, X-ray imaging plates, synchrotron beam - lines and automated cell micro injectors.

In particular, this meeting will focus on addressing the technological challenges and opportunities presented by the Human Cell Atlas in areas including large - scale single - cell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlCell Atlas in areas including large - scale single - cell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlcell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlcell proteomics, epigenomics, and sample handling.

The scientists developed a method to visualize the repair process based on genomic sequencing, and with it found good evidence for their hypothesis: In the cells that lacked GreA, less DNA degradation surrounded the sites of DNA breaks.

Our scientists developed a new method for single cell sequencing.

In particular, this meeting focused on addressing the technological challenges and opportunities presented by the Human Cell Atlas in areas including large - scale single - cell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlCell Atlas in areas including large - scale single - cell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlcell RNA sequencing, spatially - resolved methods, single - cell proteomics, epigenomics, and sample handlcell proteomics, epigenomics, and sample handling.

Single - cell RNA sequencing (scRNA - seq) has become an established and powerful method to investigate transcriptomic cell - to - cell variation, thereby revealing new cell types and providing insights into developmental processes and transcriptional stochasticity.

Methods: Using single cell RNA sequencing, we have generated an atlas of gene expression in murine POMC neurons.

Methods: We used whole - exome sequencing to detect the presence of CHIP in peripheral - blood cells and associated such presence with coronary heart disease using samples from four case - control studies that together enrolled 4726 participants with coronary heart disease and 3529 controls.

Our research team recently expanded the utility of the transposon directed insertion sequencing (TraDIS) method by applying a physical separation of a transposon mutant library mediated by fluorescence activated cell sorting, rather than a fitness - based selection.

I am also developing various imaging and molecular sequencing methods for tracking genes, molecules, and cells to understand how cancer cells arise and evolve.

Recent advances such as massively parallel single - cell RNA sequencing and sophisticated computational methods are catalyzing a revolution in our understanding of immunology.

Together with Anna - Maria Divne, I am setting up and establish methods for single cell genomics, from single cell sorting, to whole genome amplification, target screening and sequencing library preparation.Why can you find me on this homepage?

However, normalization is typically performed using methods developed for bulk RNA sequencing or even microarray data, and the suitability of these methods for single - cell transcriptomics has not been assessed.

The Bioinformatics group uses computational methods to analyse genome sequences, amino acid sequences, and gene expression data, both to identify new genes of interest and to determine their structure, function and role in the cell.

Conclusions: The method is quick and easy to apply, straightforward to interpret, and represents a substantial cost saving compared to single - cell genome sequencing techniques.

A recently published study in Genome Biology shows that cells isolated from cryopreserved tissues are a reliable source of genetic material for single - cell RNA - sequencing experiments.Please see related Method article: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1171-9.