scholarly journals Genome-wide C-SWAT library for high-throughput yeast genome tagging

2018 ◽  
Vol 15 (8) ◽  
pp. 598-600 ◽  
Author(s):  
Matthias Meurer ◽  
Yuanqiang Duan ◽  
Ehud Sass ◽  
Ilia Kats ◽  
Konrad Herbst ◽  
...  
Author(s):  
Gabriel E. Zentner ◽  
Robert A. Policastro ◽  
Steven Henikoff

AbstractWe previously introduced chromatin endogenous cleavage and high-throughput sequencing (ChEC-seq), which uses fusion of a chromatin-binding protein of interest to micrococcal nuclease (MNase) and high-throughput sequencing to generate genome-wide maps of factor binding. Here, we respond to concerns that have been raised about the specificity of the method relative to its negative control when a single long calcium incubation time is used. Through reanalysis of our previously published datasets, we show that short-duration ChEC-seq experiments provide robust, specific maps of transcriptional regulators across the budding yeast genome. Our analyses also confirm that consideration of MNase digestion kinetics is important for proper design and interpretation of ChEC-seq experiments.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sarah E. Pierce ◽  
Jeffrey M. Granja ◽  
William J. Greenleaf

AbstractChromatin accessibility profiling can identify putative regulatory regions genome wide; however, pooled single-cell methods for assessing the effects of regulatory perturbations on accessibility are limited. Here, we report a modified droplet-based single-cell ATAC-seq protocol for perturbing and evaluating dynamic single-cell epigenetic states. This method (Spear-ATAC) enables simultaneous read-out of chromatin accessibility profiles and integrated sgRNA spacer sequences from thousands of individual cells at once. Spear-ATAC profiling of 104,592 cells representing 414 sgRNA knock-down populations reveals the temporal dynamics of epigenetic responses to regulatory perturbations in cancer cells and the associations between transcription factor binding profiles.


Cell Reports ◽  
2021 ◽  
Vol 35 (6) ◽  
pp. 109125
Author(s):  
Nikki M. McCormack ◽  
Mahlet B. Abera ◽  
Eveline S. Arnold ◽  
Rebecca M. Gibbs ◽  
Scott E. Martin ◽  
...  

2011 ◽  
Vol 59 (1) ◽  
pp. 206-224 ◽  
Author(s):  
Dorothy A. Steane ◽  
Dean Nicolle ◽  
Carolina P. Sansaloni ◽  
César D. Petroli ◽  
Jason Carling ◽  
...  

Methods ◽  
2009 ◽  
Vol 47 (3) ◽  
pp. 142-150 ◽  
Author(s):  
Kyle R. Pomraning ◽  
Kristina M. Smith ◽  
Michael Freitag

Genomics ◽  
2011 ◽  
Vol 98 (2) ◽  
pp. 79-89 ◽  
Author(s):  
Thomas J. Hoffmann ◽  
Mark N. Kvale ◽  
Stephanie E. Hesselson ◽  
Yiping Zhan ◽  
Christine Aquino ◽  
...  

2021 ◽  
Author(s):  
Heather R. Keys ◽  
Kristin A. Knouse

ABSTRACTOur ability to understand and modulate mammalian physiology and disease requires knowing how all genes contribute to any given phenotype in the organism. Genome-wide screening using CRISPR-Cas9 has emerged as a powerful method for the genetic dissection of cellular processes1,2, but the need to stably deliver single guide RNAs to millions of cells has restricted its implementation to ex vivo systems. These ex vivo systems cannot reproduce all of the cellular phenotypes observed in vivo nor can they recapitulate all of the factors that influence these phenotypes. There thus remains a pressing need for high-throughput functional genomics in a living organism. Here, we establish accessible genome-wide screening in the mouse liver and use this approach to uncover the complete regulation of cellular fitness in a living organism. We discover novel sex-specific and cell non-autonomous regulation of cell growth and viability. In particular, we find that the class I major histocompatibility complex is essential for preventing immune-mediated clearance of hepatocytes. Our approach provides the first comprehensive picture of cell fitness in a living organism and highlights the importance of investigating cellular phenomena in their native context. Our screening method is robust, scalable, and easily adapted to examine diverse cellular processes using any CRISPR application. We have hereby established a foundation for high-throughput functional genomics in a living mammal, enabling unprecedented insight into mammalian physiology and disease.


2015 ◽  
Author(s):  
Giancarlo Castellano ◽  
François Le Dily ◽  
Antonio Hermoso Pulido ◽  
Miguel Beato ◽  
Guglielmo Roma

Hi-Cpipe is a bioinformatics pipeline for the automated analysis of data generated by high-throughput chromatin conformation capture (HiC). The analysis workflow comprises steps of data formatting, genome alignment, quality control and filtering, identification of genome-wide chromatin interactions, visualization and statistics. An interactive browser enables visual inspection of interaction data and results.


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