scholarly journals Non-Random Mis-Segregation of Human Chromosomes

2018 ◽  
Author(s):  
J. T. Worrall ◽  
N. Tamura ◽  
N. Shaikh ◽  
A. Mazzagatti ◽  
T. van Lingen ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Human Chromosomes ◽  
High Throughput Analysis ◽  
Selection Processes ◽  
Equal Chance ◽  
Chromosomal Changes ◽  
Technological Limitations ◽  
Recurrent Patterns

SummaryRecurrent patterns of chromosomal changes (aneuploidy) are widespread in cancer. These patterns are mainly attributed to selection processes due to an assumption that human chromosomes carry equal chance of being mis-segregated into daughter cells when fidelity of cell division is compromised. Human chromosomes vary widely in size, gene density and other parameters that might generate bias in mis-segregation rates, however technological limitations have precluded a systematic and high throughput analysis of chromosome-specific aneuploidy. Here, using fluorescence In-Situ hybridization (FISH) imaging of specific centromeres coupled with high-throughput single cell analysis, as well as single-cell sequencing we show that human chromosome mis-segregation is non-random. Merotelic kinetochore attachment induced by nocodazole washout leads to elevated aneuploidy of a subset of chromosomes, and high rates of anaphase lagging of chromosomes 1 and 2. Mechanistically, we show that these chromosomes are prone to cohesion fatigue that results in anaphase lagging upon release from nocodazole or Eg5 inhibition. Our findings suggest that inherent properties of specific chromosomes can influence chromosome mis-segregation and aneuploidy, with implications for studies on aneuploidy in human disease.

scholarly journals Microbial single-cell RNA sequencing by split-pool barcoding

Science ◽  
2020 ◽  
Vol 371 (6531) ◽  
pp. eaba5257 ◽  
Author(s):  
Anna Kuchina ◽  
Leandra M. Brettner ◽  
Luana Paleologu ◽  
Charles M. Roco ◽  
Alexander B. Rosenberg ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Rna Sequencing ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Growth Stages ◽  
High Throughput Analysis ◽  
Single Cell Rna Sequencing

Single-cell RNA sequencing (scRNA-seq) has become an essential tool for characterizing gene expression in eukaryotes, but current methods are incompatible with bacteria. Here, we introduce microSPLiT (microbial split-pool ligation transcriptomics), a high-throughput scRNA-seq method for Gram-negative and Gram-positive bacteria that can resolve heterogeneous transcriptional states. We applied microSPLiT to >25,000 Bacillus subtilis cells sampled at different growth stages, creating an atlas of changes in metabolism and lifestyle. We retrieved detailed gene expression profiles associated with known, but rare, states such as competence and prophage induction and also identified unexpected gene expression states, including the heterogeneous activation of a niche metabolic pathway in a subpopulation of cells. MicroSPLiT paves the way to high-throughput analysis of gene expression in bacterial communities that are otherwise not amenable to single-cell analysis, such as natural microbiota.

scholarly journals High-throughput and high-dimensional single-cell analysis of antigen-specific CD8+ T cells

2021 ◽  
Author(s):  
Ke-Yue Ma ◽  
Alexandra A. Schonnesen ◽  
Chenfeng He ◽  
Amanda Y. Xia ◽  
Eric Sun ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
High Throughput ◽  
Cd8 T Cells ◽  
Single Cell Analysis ◽  
High Dimensional ◽  
Cell Analysis

Fabrication of Microwell Arrays Based on Two-Dimensional Ordered Polystyrene Microspheres for High-Throughput Single-Cell Analysis

2010 ◽  
Vol 82 (22) ◽  
pp. 9418-9424 ◽  
Author(s):  
Chuansen Liu ◽  
Jiangjiang Liu ◽  
Dan Gao ◽  
Mingyu Ding ◽  
Jin-Ming Lin
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Two Dimensional ◽  
Cell Analysis ◽  
Polystyrene Microspheres

High-Throughput Single-Cell Analysis for Enzyme Activity without Cytolysis

2006 ◽  
Vol 78 (9) ◽  
pp. 3213-3220 ◽  
Author(s):  
Ning Gao ◽  
Wenlei Wang ◽  
Xiaoli Zhang ◽  
Wenrui Jin ◽  
Xuefeng Yin ◽  
...  
Keyword(s):  
Enzyme Activity ◽  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Cell Analysis

scholarly journals High-Throughput Single-Cell Analysis of B Cell Receptor Usage among Autoantigen-Specific Plasma Cells in Celiac Disease

2017 ◽  
Vol 199 (2) ◽  
pp. 782-791 ◽  
Author(s):  
Bishnudeo Roy ◽  
Ralf S. Neumann ◽  
Omri Snir ◽  
Rasmus Iversen ◽  
Geir Kjetil Sandve ◽  
...  
Keyword(s):  
Celiac Disease ◽  
B Cell ◽  
Single Cell ◽  
High Throughput ◽  
Plasma Cells ◽  
Single Cell Analysis ◽  
Cell Receptor ◽  
B Cell Receptor ◽  
Cell Analysis ◽  
Receptor Usage

Simple, fast and high-throughput single-cell analysis on PDMS microfluidic chips

2008 ◽  
Vol 29 (24) ◽  
pp. 5055-5060 ◽  
Author(s):  
Linfen Yu ◽  
Huaiqing Huang ◽  
Xiuling Dong ◽  
Dapeng Wu ◽  
Jinhua Qin ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Microfluidic Chips

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

Molecules ◽  
2016 ◽  
Vol 21 (7) ◽  
pp. 881 ◽  
Author(s):  
Na Wen ◽  
Zhan Zhao ◽  
Beiyuan Fan ◽  
Deyong Chen ◽  
Dong Men ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Droplet Microfluidics ◽  
Cell Analysis

High-throughput single-cell analysis of low copy number β-galactosidase by a laboratory-built high-sensitivity flow cytometer

2013 ◽  
Vol 48 ◽  
pp. 49-55 ◽  
Author(s):  
Lingling Yang ◽  
Tianxun Huang ◽  
Shaobin Zhu ◽  
Yingxing Zhou ◽  
Yunbin Jiang ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Copy Number ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Flow Cytometer ◽  
Cell Analysis ◽  
Low Copy Number
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