Results 261-270 of about 359
- The recent advent of genome-scale imaging has enabled single-cell omics analysis in a spatially resolved manner in intact cells and tissues. These advances allow gene expression profiling of individual cells, and hence in situ identification and
Date: (2020) Authors: Xiaowei Zhuang - Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studies new windowIdentifying genes that display spatial expression patterns in spatially resolved transcriptomic studies is an important first step toward characterizing the spatial transcriptomic landscape of complex tissues. Here we present a statistical method,
Date: (2020) Authors: Shiquan Sun , Jiaqiang Zhu , Xiang Zhou - Spatialtranscriptomics seeks to integrate single cell transcriptomic data within the three-dimensional space of multicellular biology. Current methods to correlate a cell’s position with its transcriptome in living tissues have various limitations
Date: (2020) Authors: Kenneth H. Hu , John P. Eichorst , Chris S. McGinnis , David M. Patterson ... Matthew F. Krummel - High-throughput single-cell sequencing technologies hold tremendous potential for defining cell types in an unbiased fashion using gene expression and epigenomic state. A key challenge in realizing this potential is integrating single-cell datasets
Date: (2020) Authors: Jialin Liu , Chao Gao , Joshua Sodicoff , Velina Kozareva ... Joshua D. Welch - Transcriptomic analysis or gene expression profiling is gaining importance in molecular biology research. Transcriptomics deals with studying the transcriptome or complete set of RNA transcripts produced in the specific cell at a particular time
Date: (2020) Authors: Sipahee Lal Patel , Dinesh Kumar , Anamika Dwivedi , Payal Singh Raghuvanshi ... Varsha Gupta Ref: Experimental Protocols in Biotechnology - Single-cell genomics has transformed our ability to examine cell fate choice. Examining cells along a computationally ordered ‘pseudotime’ offers the potential to unpick subtle changes in variability and covariation among key genes. We describe an
Date: (2020) Authors: Shila Ghazanfar , Yingxin Lin , Xianbin Su , David Ming Lin ... Jean Yee Yang - Open-Source Software Tools, Databases, and Resources for Single-Cell and Single-Cell-Type Metabolomics new windowIn this age of –omics data-guided big data revolution, metabolomics has received significant attention as compared to genomics, transcriptomics, and proteomics for its proximity to the phenotype, the promises it makes and the challenges it throws.
Date: (2020) Authors: Biswapriya B. Misra Ref: Single Cell Metabolism - Researchers construct a transcriptome-based single-cell human cell landscape for major human organs.
Date: (2020) Authors: Lei Tang - A love of math and biology comes together with a SPARK.
Date: (2020) Authors: Vivien Marx - A 3D culture system recapitulates human development prior to gastrulation and enables transcriptomic studies.
Date: (2020) Authors: Nina Vogt