ArticleGenome research2003
Toward a functional annotation of the human genome using artificial transcription factors.
Article in Genome research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- A platform for functional assessment of large variant libraries in mammalian cells.Nucleic acids research · 2017Article
- Induction of stable drug resistance in human breast cancer cells using a combinatorial zinc finger transcription factor library.PloS one · 2011Article
- Targeted genome editing in human cells with zinc finger nucleases constructed via modular assembly.Genome research · 2009Article
- Extracting expression modules from perturbational gene expression compendia.BMC systems biology · 2008Article
- Design of a zinc finger protein binding a sequence upstream of the A20 gene.BMC biotechnology · 2008Article
- Phenotypic alteration and target gene identification using combinatorial libraries of zinc finger proteins in prokaryotic cells.Journal of bacteriology · 2005Article
- Suppression of vascular endothelial growth factor expression at the transcriptional and post-transcriptional levels.Nucleic acids research · 2005Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have developed a novel, high-throughput approach to collecting randomly perturbed gene-expression profiles from the human genome.A human 293 cell library that stably expresses randomly chosen zinc-finger transcription factors was constructed, and the expression profile of each cell line was obtained using cDNA microarray technology.Gene expression profiles from a total of 132 cell lines were collected and analyzed by (1) a simple clustering method based on expression-profile similarity, and (2) the shortest-path analysis method. These analyses identified a number of gene groups, and further investigation revealed that the genes that were grouped together had close biological relationships. The artificial transcription factor-based random genome perturbation method thus provides a novel functional genomic tool for annotation and classification of genes in the human genome and those of many other organisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.