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).