Literature DB >> 31304228

MALTA: a calculator for estimating the coverage with shRNA, CRISPR, and cDNA libraries.

Venkatramanan Krishnamani1, Mark A Stamnes1, Robert C Piper1.   

Abstract

Genetic screens using shRNA, CRISPR, or cDNA libraries rely on adequately transferring the library into cells for further assay. These libraries can have many different elements and each element can be present at different copy numbers within a given pooled library. Calculating how many recipient cells are needed to adequately sample all or most of the different elements within a library is important, especially if one wants to compare the outcomes of different genetic screens that rely on accurately reproducing the starting population of library-containing cells. Here we present a simple application that starts with a list of library elements and their abundance and calculates the minimum sampling number to achieve full transfer of the library to an acceptor cell population to a user-specified level of probability. Users can adjust several input parameters including designating a subpopulation over which the calculation is made. Finally, the program performs a series of Monte Carlo simulations of a user-specified number of picks to produce an empirically determined distribution of each library element.

Entities:  

Keywords:  Computation; Genetic Screening; pooled libraries

Year:  2019        PMID: 31304228      PMCID: PMC6625779          DOI: 10.1016/j.softx.2019.01.006

Source DB:  PubMed          Journal:  SoftwareX


  14 in total

Review 1.  Statistical methods for analysis of high-throughput RNA interference screens.

Authors:  Amanda Birmingham; Laura M Selfors; Thorsten Forster; David Wrobel; Caleb J Kennedy; Emma Shanks; Javier Santoyo-Lopez; Dara J Dunican; Aideen Long; Dermot Kelleher; Queta Smith; Roderick L Beijersbergen; Peter Ghazal; Caroline E Shamu
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

Review 2.  RNAi screening comes of age: improved techniques and complementary approaches.

Authors:  Stephanie E Mohr; Jennifer A Smith; Caroline E Shamu; Ralph A Neumüller; Norbert Perrimon
Journal:  Nat Rev Mol Cell Biol       Date:  2014-09       Impact factor: 94.444

Review 3.  Design, execution, and analysis of pooled in vitro CRISPR/Cas9 screens.

Authors:  Linde A Miles; Ralph J Garippa; John T Poirier
Journal:  FEBS J       Date:  2016-06-16       Impact factor: 5.542

Review 4.  High-throughput functional genomics using CRISPR-Cas9.

Authors:  Ophir Shalem; Neville E Sanjana; Feng Zhang
Journal:  Nat Rev Genet       Date:  2015-04-09       Impact factor: 53.242

5.  High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities.

Authors:  Traver Hart; Megha Chandrashekhar; Michael Aregger; Zachary Steinhart; Kevin R Brown; Graham MacLeod; Monika Mis; Michal Zimmermann; Amelie Fradet-Turcotte; Song Sun; Patricia Mero; Peter Dirks; Sachdev Sidhu; Frederick P Roth; Olivia S Rissland; Daniel Durocher; Stephane Angers; Jason Moffat
Journal:  Cell       Date:  2015-11-25       Impact factor: 41.582

6.  Next-generation libraries for robust RNA interference-based genome-wide screens.

Authors:  Martin Kampmann; Max A Horlbeck; Yuwen Chen; Jordan C Tsai; Michael C Bassik; Luke A Gilbert; Jacqueline E Villalta; S Chul Kwon; Hyeshik Chang; V Narry Kim; Jonathan S Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-15       Impact factor: 11.205

7.  Pooled RNAi Screens - Technical and Biological Aspects.

Authors:  M Boettcher; J D Hoheisel
Journal:  Curr Genomics       Date:  2010-05       Impact factor: 2.236

8.  Improved vectors and genome-wide libraries for CRISPR screening.

Authors:  Neville E Sanjana; Ophir Shalem; Feng Zhang
Journal:  Nat Methods       Date:  2014-08       Impact factor: 28.547

9.  High-throughput RNA interference screening using pooled shRNA libraries and next generation sequencing.

Authors:  David Sims; Ana M Mendes-Pereira; Jessica Frankum; Darren Burgess; Maria-Antonietta Cerone; Cristina Lombardelli; Costas Mitsopoulos; Jarle Hakas; Nirupa Murugaesu; Clare M Isacke; Kerry Fenwick; Ioannis Assiotis; Iwanka Kozarewa; Marketa Zvelebil; Alan Ashworth; Christopher J Lord
Journal:  Genome Biol       Date:  2011-10-21       Impact factor: 13.583

10.  The Power Decoder Simulator for the Evaluation of Pooled shRNA Screen Performance.

Authors:  Jesse Stombaugh; Abel Licon; Žaklina Strezoska; Joshua Stahl; Sarah Bael Anderson; Michael Banos; Anja van Brabant Smith; Amanda Birmingham; Annaleen Vermeulen
Journal:  J Biomol Screen       Date:  2015-03-16
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  1 in total

1.  Next-generation yeast-two-hybrid analysis with Y2H-SCORES identifies novel interactors of the MLA immune receptor.

Authors:  Valeria Velásquez-Zapata; J Mitch Elmore; Sagnik Banerjee; Karin S Dorman; Roger P Wise
Journal:  PLoS Comput Biol       Date:  2021-04-02       Impact factor: 4.475

  1 in total

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