Results 41 to 50 of about 9,923,505 (317)

STR profiling and Copy Number Variation analysis on single, preserved cells using current Whole Genome Amplification methods [PDF]

, 2017
The growing interest in liquid biopsies for cancer research and cell-based non-invasive prenatal testing (NIPT) invigorates the need for improved single cell analysis.
Cornelis, Senne, Deforce, Dieter, Deleye, Lieselot, Tilleman, Laurentijn, Van Nieuwerburgh, Filip, Vander Plaetsen, Ann-Sophie   +5 more
core   +2 more sources

SCALA: A complete solution for multimodal analysis of single-cell Next Generation Sequencing data

Computational and Structural Biotechnology Journal, 2023
Analysis and interpretation of high-throughput transcriptional and chromatin accessibility data at single-cell (sc) resolution are still open challenges in the biomedical field.
Christos Tzaferis, Evangelos Karatzas, Fotis A. Baltoumas, Georgios A. Pavlopoulos, George Kollias, Dimitris Konstantopoulos   +5 more
doaj   +1 more source

Development of Droplet Microfluidics Enabling High-Throughput Single-Cell Analysis

Molecules, 2016
This article reviews recent developments in droplet microfluidics enabling high-throughput single-cell analysis. Five key aspects in this field are included in this review: (1) prototype demonstration of single-cell encapsulation in microfluidic droplets;
Na Wen, Zhan Zhao, Beiyuan Fan, Deyong Chen, Dong Men, Junbo Wang, Jian Chen   +6 more
doaj   +1 more source

Single Cell Analysis in Vascular Biology

Frontiers in Cardiovascular Medicine, 2020
The ability to quantify DNA, RNA, and protein variations at the single cell level has revolutionized our understanding of cellular heterogeneity within tissues.
Nicholas W. Chavkin, Karen K. Hirschi, Karen K. Hirschi   +2 more
doaj   +1 more source

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment

Nature Communications, 2022
Cancer-associated fibroblasts (CAFs) are the predominant components of the tumor microenvironment (TME) and influence cancer hallmarks, but without systematic investigation on their ubiquitous characteristics across different cancer types.
Han Luo, Xuyang Xia, Li-Bin Huang, Hyunsu An, Minyuan Cao, G. Kim, Haining Chen, Weihan Zhang, Y. Shu, Xiangyu Kong, Zhixiang Ren, Pei-Heng Li, Yang Liu, Huairong Tang, R. Sun, C. Li, Bing Bai, Weiguo Jia, Yi Liu, Wei Zhang, Li Yang, Yong Peng, Lunzhi Dai, Hongbo Hu, Yong Jiang, Yiguo Hu, Jingqiang Zhu, Hong Jiang, Zhihui Li, C. Caulin, Jihwan Park, Heng Xu   +31 more
semanticscholar   +1 more source

Automated single-cell motility analysis on a chip using lensfree microscopy. [PDF]

, 2014
Quantitative cell motility studies are necessary for understanding biophysical processes, developing models for cell locomotion and for drug discovery.
Di Carlo, Dino, Liu, Yunbo, Mudanyali, Onur, Ozcan, Aydogan, Pushkarsky, Ivan, Su, Ting-Wei, Weaver, Westbrook   +6 more
core   +1 more source

Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target

Nature Communications, 2022
A major rate-limiting step in developing more effective immunotherapies for GBM is our inadequate understanding of the cellular complexity and the molecular heterogeneity of immune infiltrates in gliomas. Here, we report an integrated analysis of 201,986
Nourhan Abdelfattah, Parveen Kumar, Caiying Wang, Jia-Shiun Leu, W. Flynn, Ruli Gao, D. Baskin, K. Pichumani, O. Ijare, Stephanie L. Wood, S. Powell, D. Haviland, Brittany C Parker Kerrigan, F. Lang, S. Prabhu, Kristin M. Huntoon, Wen Jiang, Betty Y. S. Kim, J. George, Kyuson Yun   +19 more
semanticscholar   +1 more source

Deep generative modeling for single-cell transcriptomics. [PDF]

, 2018
Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in downstream analyses.
A Regev, A Tanay, A Wagner, A Zeisel, AP Patel, B Wang, BK Tusi, CA Vallejos, CA Vallejos, D DeTomaso, D Grün, D Risso, DM Blei, E Pierson, FA Wolf, G Finak, G Görgün, GXY Zheng, HI Nakaya, J Ding, J Fan, Jeffrey Regier, JT Gaublomme, K Shekhar, L Haghverdi, L Held, M Stoeckius, MD Robinson, MI Love, Michael B. Cole, Michael I. Jordan, Nir Yosef, PV Kharchenko, Q Li, RE Kass, Romain Lopez, S Prabhakaran, S Semrau, U Shaham, WE Johnson   +39 more
core   +1 more source

Single cell measurement of telomerase expression and splicing using microfluidic emulsion cultures. [PDF]

, 2014
Telomerase is a reverse transcriptase that maintains telomeres on the ends of chromosomes, allowing rapidly dividing cells to proliferate while avoiding senescence and apoptosis.
Hart, Kristina, Mathies, Richard A, Novak, Richard   +2 more
core   +1 more source

A microfluidic processor for gene expression profiling of single human embryonic stem cells [PDF]

, 2008
The gene expression of human embryonic stem cells (hESC) is a critical aspect for understanding the normal and pathological development of human cells and tissues.
Chen, Yan, Marcus, Joshua S., Quake, Stephen R., Scherer, Axel, Taylor, Clive R., Weiner, Leslie P., Zhong, Jiang F.   +6 more
core   +1 more source