Literature DB >> 17186018

The Connectivity Map: a new tool for biomedical research.

Justin Lamb1.   

Abstract

The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them. But this remains a daunting task, and even the most inspired researchers still have to resort to laborious screens of genetic or chemical libraries. What if at least some parts of this screening process could be systematized and centralized? And hits found and hypotheses generated with something resembling an internet search engine? These are the questions the Connectivity Map project set out to answer.

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Year:  2007        PMID： 17186018     DOI： 10.1038/nrc2044

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN： 1474-175X            Impact factor:   60.716


  373 in total

1.  Making sense out of massive data by going beyond differential expression.

Authors:  Patrick R Schmid; Nathan P Palmer; Isaac S Kohane; Bonnie Berger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-23       Impact factor: 11.205

2.  An orthotopic model of metastatic nasopharyngeal carcinoma and its application in elucidating a therapeutic target that inhibits metastasis.

Authors:  Pamela A Smith; David Merritt; Leah Barr; David A Thorley-Lawson
Journal:  Genes Cancer       Date:  2011-11

3.  Discovery of drug mode of action and drug repositioning from transcriptional responses.

Authors:  Francesco Iorio; Roberta Bosotti; Emanuela Scacheri; Vincenzo Belcastro; Pratibha Mithbaokar; Rosa Ferriero; Loredana Murino; Roberto Tagliaferri; Nicola Brunetti-Pierri; Antonella Isacchi; Diego di Bernardo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

4.  ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments.

Authors:  Alexander Lachmann; Huilei Xu; Jayanth Krishnan; Seth I Berger; Amin R Mazloom; Avi Ma'ayan
Journal:  Bioinformatics       Date:  2010-08-13       Impact factor: 6.937

5.  Large-scale elucidation of drug response pathways in humans.

Authors:  Yael Silberberg; Assaf Gottlieb; Martin Kupiec; Eytan Ruppin; Roded Sharan
Journal:  J Comput Biol       Date:  2012-02       Impact factor: 1.479

6.  Use of big data in drug development for precision medicine.

Authors:  Rosa S Kim; Nicolas Goossens; Yujin Hoshida
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-04-28

Review 7.  Targeted therapy in gastric cancer: personalizing cancer treatment based on patient genome.

Authors:  Sun Min Lim; Jae Yun Lim; Jae Yong Cho
Journal:  World J Gastroenterol       Date:  2014-02-28       Impact factor: 5.742

8.  A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

Authors:  Susanne Ramm; Petar Todorov; Vidya Chandrasekaran; Anders Dohlman; Maria B Monteiro; Mira Pavkovic; Jeremy Muhlich; Harish Shankaran; William W Chen; Jerome T Mettetal; Vishal S Vaidya
Journal:  Toxicol Sci       Date:  2019-05-01       Impact factor: 4.849

9.  The identification and validation of Trichosstatin A as a potential inhibitor of colon tumorigenesis and colon cancer stem-like cells.

Authors:  Tse-Hung Huang; Szu-Yuan Wu; Yan-Jiun Huang; Po-Li Wei; Alexander Th Wu; Tsu-Yi Chao
Journal:  Am J Cancer Res       Date:  2017-05-01       Impact factor: 6.166

10.  Gene expression signature-based approach identifies a pro-resolving mechanism of action for histone deacetylase inhibitors.

Authors:  T Montero-Melendez; J Dalli; M Perretti
Journal:  Cell Death Differ       Date:  2012-12-07       Impact factor: 15.828
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