Genome-wide Library
Genome-wide Library - Related Videos
08:40
Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
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Cited by 1 •
2012
The Target ID Library is a plasmid-based, genome-wide collection of cloned cDNA used to identify miRNA targets. Here we demonstrate its use and application.
11:59
Competitive Genomic Screens of Barcoded Yeast Libraries
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Cited by 44 •
2011
We have developed comprehensive, unbiased genome-wide screens to understand gene-drug and gene-environment interactions. Methods for screening these mutant collections are presented.
20:59
Large Insert Environmental Genomic Library Production
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Cited by 18 •
2009
Construction of a fosmid library with environmental genomic DNA isolated from the vertical depth continuum of a seasonally hypoxic fjord is described. The resulting clone library is picked into 384-well plates and archived for downstream sequencing and functional screening by the application of an automated colony picking system.
10:23
Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq
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Cited by 15 •
2015
The question of how chromatin regulators and chromatin states affect the genome in vivo is key to our understanding of how early cell fate decisions are made in the developing embryo. ChIP-Seq—the most popular approach to investigate chromatin features at a global level—is outlined here for Xenopus embryos.
14:26
Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells
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Cited by 59 •
2016
This paper presents a sensitive method called Circle-Seq for purifying extrachromosomal circular DNA (eccDNA). The method encompasses column purification, removal of remaining linear chromosomal DNA, rolling-circle amplification and high-throughput sequencing. Circle-Seq is applicable to genome-scale screening of eukaryotic eccDNA and studying genome instability and copy-number variation.
FAQs
Coverage determines how broadly a screen can examine genetic targets within one experimental framework. A collection designed to represent most genes or intended guide sequences supports systematic comparisons across the genome. Its value comes from connecting this broad target range with measurable cellular phenotypes, allowing researchers to identify patterns that may be missed when studying individual genes separately.
Cloning vectors provide the molecular context needed to maintain DNA fragments or guide sequences and introduce them into cells. Researchers can analyze library members individually or as pooled populations, depending on the experimental design. Pooled delivery makes it possible to evaluate many genetic targets under the same cellular conditions and compare their associated responses.
Researchers measure a cellular phenotype, sequence the library material, and apply statistical analysis to associate particular genetic targets with the observed outcome. This linkage turns molecular library membership into functional evidence. It can reveal genes or sequences associated with responses to drugs, environmental conditions, or other experimental settings rather than merely cataloging DNA content.
Genomic-fragment libraries begin with genomic DNA that is physically fragmented, whereas guide-sequence libraries are created by synthesizing selected guide sequences. Both formats can be cloned into vectors and introduced into cells, but they represent genetic information through different starting materials. This distinction lets researchers choose a library design suited to the type of sequence or target being examined.
These libraries are useful when researchers need to examine gene function, regulatory elements, disease-associated variants, or cellular responses across many genomic targets. Their broad scope supports functional genomics studies that seek relationships between genetic sequences and phenotypes. The same approach can also contribute to precision medicine by identifying genetic factors linked to disease-relevant or treatment-related responses.
Sequencing identifies which library members are present after an experiment, while statistical analysis helps relate those members to measured phenotypes. Together, they can highlight genetic targets associated with altered cellular responses under defined conditions. The resulting associations provide a basis for prioritizing genes, regulatory sequences, or variants for further genetics research and functional investigation.