Large insert genome libraries have been a core resource required to sequence genomes, analyze haplotypes, and aid gene discovery. While next generation sequencing technologies are revolutionizing the field of genomics, traditional genome libraries will still be required for accurate genome assembly. Their utility is also being extended to functional studies for understanding DNA regulatory elements. Here, we present a detailed method for constructing genomic fosmid libraries, testing for common contaminants, gridding the library to nylon membranes, then hybridizing the library membranes with a radiolabeled probe to identify corresponding genomic clones. While this chapter focuses on fosmid libraries, many of these steps can also be applied to bacterial artificial chromosome libraries.
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http://dx.doi.org/10.1007/978-1-61779-228-1_3 | DOI Listing |
Appl Microbiol Biotechnol
January 2025
Department of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Metagenomes present a source for novel enzymes, but under 1% of environmental microbes are cultivatable. Because of its useful properties, Escherichia coli has been used as a host organism in functional genomic screens. However, due to differing expression machineries in the expression host compared to the source organism of the DNA sequences, screening outcomes can be biased.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Molecular Pharmacology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China. Electronic address:
DNA-encoded libraries are invaluable tools for high-throughput screening and functional genomics studies. However, constructing high-abundance libraries in mammalian cells remains challenging. Here, we present dsDNA-assembly-PCR (dsDAP), a novel Gibson-assembly-PCR strategy for creating DNA-encoded libraries, offering improved flexibility and efficiency over previous methods.
View Article and Find Full Text PDFCurr Protoc
January 2025
New England Biolabs, Ipswich, Massachusetts.
Functional genomic approaches have been effective at uncovering the function of uncharacterized genes and identifying new functions for known genes. Often these approaches rely on an in vivo screen or selection to associate genes with a phenotype of interest. These selections and screens are dependent upon the expression of proteins encoded in genomic DNA from an expression vector, such as a plasmid.
View Article and Find Full Text PDFGenome Med
January 2025
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Background: Large-scale pharmacogenomic resources, such as the Connectivity Map (CMap), have greatly assisted computational drug discovery. However, despite their widespread use, CMap-based methods have thus far been agnostic to the biological activity of drugs as well as to the genomic effects of drugs in multiple disease contexts. Here, we present a network-based statistical approach, Pathopticon, that uses CMap to build cell type-specific gene-drug perturbation networks and integrates these networks with cheminformatic data and diverse disease phenotypes to prioritize drugs in a cell type-dependent manner.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
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