Sentences with phrase «cell analysis method»

Not exact matches

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.
Dr Sánchez - Corrales» search for an adequate mathematical representation for cell shape led the group to discover there were inherent errors in quantifying shape properties through a traditional method named the Elliptic Fourier Analysis, named after Joseph Fourier the French mathematician and physicist.
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.
Previously, kinetic analysis of GLUT4 was performed by using fluorescence proteins and an immunostaining method; however, it was impossible to precisely examine if GLUT4 in the cell had been transiently translocated to the cell membrane.
«New tumor analysis method identifies high - risk prostate cancer: Cancer cells» genetic pathways show which patients are likely to develop aggressive types of the disease.»
The analysis was made possible by a new method of collecting and purifying the nuclei of specific kinds of 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 experimental plan includes a fine - grained analysis of the different cell populations within these precious tissues using cutting - edge single - cell genomics methods.
Giovanni Marsico (Zerial, MPG)-- «Analysis of the interplay between endocytosis and cell morphology through the development of computational methods» (2011)
But in the last couple of years, novel single - cell methods have emerged which enable scientists to perform such global analyses in individual cells.
-- 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.
Further research topics are statistical / computational methods to study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic single cell tracking).
The current study involved monitoring the patients for one year after completed stem cell transplantation and used mass cytometry to study the different cell types of the immune system and the so called ProSeek method for simultaneous protein analysis.
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.
These methods integrate single - cell experiments and discrete stochastic analysis to predict complex gene expression and signaling behaviors in Saccharomyces cerevisiae — or yeast, a scientific - lab standard since yeast and human cells share many genes.
We want to gain comprehensive mechanistic insight into the division of human mitotic cells, provide a biophysical basis to understand nuclear organisation, and establish methods for systems analysis of the first mitotic divisions of mammalian embryos.
What's more, these powerful computational methods are not limited to image analysis: they can also integrate data from molecular or genetic investigations of the same cells, as well as the patient's clinical data.
For some applications, a qPCR wil... Keywords: Amplification, Cancer, Capillary electrophoresis, Cell culture, Degradations, Detection methods, Electrophoresis, Gene expression, Growth factors, Indicators, Microarray Analysis, Polymerase chain reaction, Polymerase chain reaction - quantitative, Purification, RNA purification, Sample preparations, Transcription
Unlike other methods, chromosomal analysis is able to unambiguously identify cells from all common mammalian species and can also differentiate between cells from the same species.
We develop methods to label RNA in fixed and living cells using fluorescent probes and microscopy techniques and image analysis algorithms to visualize and quantify many mRNAs simultaneously.
Single cells were isolated for global RT - PCR analysis from each section as described in the materials and methods.
New computational strategies are supported by our single cell data analysis experts with computational methods deconvolute tissue composition, determine cell type heterogeneity, identify novel cell type defining markers or track transcriptional dynamics.
(A) P19 cells were differentiated by aggregate formation in the presence of DMSO (as described in Methods) for the indicated number of days, followed by RT - PCR analysis of Oct4 expression.
We here describe f - scLVM (factorial single - cell latent variable model), a method based on factor analysis that uses pathway annotations to guide the inference of interpretable factors underpinning the heterogeneity.
«But in recent years we've developed much more sensitive methods of analysis that allow us to see which genes are active in individual cells.
Drop - Seq, and other methods for single cell analysis, usually begins with a dissociated tissue, but inside the body a cell's location matters a great deal.
It is using the full range of research methods, including genetic tools and computational analysis, to understand how each intermingled cell type functions in a neural network.
Other Food Sensitivity Methods may use a technology known as live cell analysis.
Bioelectrical impedance vector analysis (BIVA) expresses tissue hydration status and body cell mass solely while considering the impedance vector relative to a population of healthy individuals (24); this was a valid method for detecting changes in hydration (classified as under -, normal or overhydration) and body fluid volume changes (25).
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