The art and design of genetic screens: RNA interference

Michael Boutros; Julie Ahringer

doi:10.1038/nrg2364

Multiple Subunits of the Caenorhabditis elegans Anaphase-Promoting Complex Are Required for Chromosome Segregation During Meiosis I

Genetics ◽

10.1093/genetics/160.2.805 ◽

2002 ◽

Vol 160 (2) ◽

pp. 805-813 ◽

Cited By ~ 3

Author(s):

Edward S Davis ◽

Lucia Wille ◽

Barry A Chestnut ◽

Penny L Sadler ◽

Diane C Shakes ◽

...

Keyword(s):

Rna Interference ◽

Caenorhabditis Elegans ◽

Chromosome Segregation ◽

Sister Chromatid ◽

Sister Chromatid Cohesion ◽

Anaphase Promoting Complex ◽

Genetic Screens ◽

Chromatid Cohesion ◽

Interference Studies ◽

Meiosis I

Abstract Two genes, originally identified in genetic screens for Caenorhabditis elegans mutants that arrest in metaphase of meiosis I, prove to encode subunits of the anaphase-promoting complex or cyclosome (APC/C). RNA interference studies reveal that these and other APC/C subunits are essential for the segregation of chromosomal homologs during meiosis I. Further, chromosome segregation during meiosis I requires APC/C functions in addition to the release of sister chromatid cohesion.

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The art and design of genetic screens: Caenorhabditis elegans

Nature Reviews Genetics ◽

10.1038/nrg794 ◽

2002 ◽

Vol 3 (5) ◽

pp. 356-369 ◽

Cited By ~ 258

Author(s):

Erik M. Jorgensen ◽

Susan E. Mango

Keyword(s):

Caenorhabditis Elegans ◽

Genetic Screens ◽

Art And Design

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A cDNA-Based Random RNA Interference Library for Functional Genetic Screens in Embryonic Stem Cells

Stem Cells ◽

10.1634/stemcells.2006-0448 ◽

2007 ◽

Vol 25 (8) ◽

pp. 1904-1912 ◽

Cited By ~ 12

Author(s):

Rui Jian ◽

Xiaoxing Cheng ◽

Jing Jiang ◽

Shaoli Deng ◽

Fuquan Hu ◽

...

Keyword(s):

Stem Cells ◽

Rna Interference ◽

Embryonic Stem Cells ◽

Embryonic Stem ◽

Genetic Screens

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The art and design of genetic screens: mouse

Nature Reviews Genetics ◽

10.1038/nrg1636 ◽

2005 ◽

Vol 6 (7) ◽

pp. 557-567 ◽

Cited By ~ 57

Author(s):

Benjamin T. Kile ◽

Douglas J. Hilton

Keyword(s):

Genetic Screens ◽

Art And Design

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Identification of Nonviable Genes Affecting Touch Sensitivity in Caenorhabditis elegans Using Neuronally Enhanced Feeding RNA Interference

G3 Genes|Genome|Genetics ◽

10.1534/g3.114.015776 ◽

2015 ◽

Vol 5 (3) ◽

pp. 467-475 ◽

Cited By ~ 4

Author(s):

Xiaoyin Chen ◽

Margarete Diaz Cuadros ◽

Martin Chalfie

Keyword(s):

Rna Interference ◽

Caenorhabditis Elegans ◽

The Body ◽

Genetic Screens ◽

Tubulin Acetylation ◽

Touch Receptor Neurons ◽

Touch Sensitivity ◽

Touch Response ◽

Receptor Neurons ◽

Neuronal Functions

Abstract Caenorhabditis elegans senses gentle touch along the body via six touch receptor neurons. Although genetic screens and microarray analyses have identified several genes needed for touch sensitivity, these methods miss pleiotropic genes that are essential for the viability, movement, or fertility of the animals. We used neuronally enhanced feeding RNA interference to screen genes that cause lethality or paralysis when mutated, and we identified 61 such genes affecting touch sensitivity, including five positive controls. We confirmed 18 genes by using available alleles, and further studied one of them, tag-170, now renamed txdc-9. txdc-9 preferentially affects anterior touch response but is needed for tubulin acetylation and microtubule formation in both the anterior and posterior touch receptor neurons. Our results indicate that neuronally enhanced feeding RNA interference screens complement traditional mutageneses by identifying additional nonviable genes needed for specific neuronal functions.

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MODELING AND OPTIMIZATION OF GENETIC SCREENS VIA RNA INTERFERENCE AND FACS

Probability in the Engineering and Informational Sciences ◽

10.1017/s0269964814000254 ◽

2014 ◽

Vol 29 (1) ◽

pp. 131-145

Author(s):

Yair Goldberg ◽

Yuval Nov

Keyword(s):

Rna Interference ◽

Limit Theorem ◽

Candidate Genes ◽

Gene Discovery ◽

Genetic Screens ◽

Modeling And Optimization ◽

Molecular Process ◽

A Cell

We study mathematically a method for discovering which gene is related to a cell characteristic (“phenotype”) of interest. The method is based on RNA interference – a molecular process for gene deactivation – and on coupling the phenotype with cell fluorescence. A small number of candidate genes are thus isolated, and then tested individually. We model probabilistically this process, prove a limit theorem for its outcome, and derive operational guidelines for maximizing the probability of successful gene discovery.

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