منابع مشابه
Analysis of Cell Fate from Single-Cell Gene Expression Profiles in C. elegans
The C. elegans cell lineage provides a unique opportunity to look at how cell lineage affects patterns of gene expression. We developed an automatic cell lineage analyzer that converts high-resolution images of worms into a data table showing fluorescence expression with single-cell resolution. We generated expression profiles of 93 genes in 363 specific cells from L1 stage larvae and found tha...
متن کاملSingle-cell gene expression profiling.
A key goal of biology is to relate the expression of specific genes to a particular cellular phenotype. However, current assays for gene expression destroy the structural context. By combining advances in computational fluorescence microscopy with multiplex probe design, we devised technology in which the expression of many genes can be visualized simultaneously inside single cells with high sp...
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Background: Basal Cell Carcinoma (BCC) is a type of non-melanoma skin cancer. Alteration in gene expression is the important event that happens in cancer cell. Detection of this event is possible by proteomics techniques. Methods: Normal and tumor tissues were taken from BCC patient. Total proteins were purified by standard methods, and proteins were separated by two-dimensional electrophoresis...
متن کاملA deep generative model for gene expression profiles from single-cell RNA sequencing
Single-cell RNA sequencing (scRNA-Seq) is a revolutionary technology, which allows studying fundamental biological questions that were previously out of reach [1, 2]. It allows, for the first time, to reveal a cell’s identity and characterize its molecular circuitry in an unbiased, data-driven way. The product of a scRNA-Seq experiment is a data matrix X where entry Xng approximates the number ...
متن کاملSINCERITIES: inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles
Motivation Single cell transcriptional profiling opens up a new avenue in studying the functional role of cell-to-cell variability in physiological processes. The analysis of single cell expression profiles creates new challenges due to the distributive nature of the data and the stochastic dynamics of gene transcription process. The reconstruction of gene regulatory networks (GRNs) using singl...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2015
ISSN: 1474-760X
DOI: 10.1186/s13059-015-0580-x