Ascertaining the impact of uncharacterized perturbations on the cell is a fundamental problem in biology. Here, we describe how a single assay can be used to monitor hundreds of different cellular functions simultaneously. We constructed a reference database or "compendium" of expression profiles corresponding to 300 diverse mutations and chemical treatments in S. cerevisiae, and we show that the cellular pathways affected can be determined by pattern matching, even among very subtle profiles. The utility of this approach is validated by examining profiles caused by deletions of uncharacterized genes: we identify and experimentally confirm that eight uncharacterized open reading frames encode proteins required for sterol metabolism, cell wall function, mitochondrial respiration, or protein synthesis. We also show that the compendium can be used to characterize pharmacological perturbations by identifying a novel target of the commonly used drug dyclonine.
Description
Functional discovery via a compendium of expressio... [Cell. 2000] - PubMed result
%0 Journal Article
%1 Hughes:2000:Cell:10929718
%A Hughes, T R
%A Marton, M J
%A Jones, A R
%A Roberts, C J
%A Stoughton, R
%A Armour, C D
%A Bennett, H A
%A Coffey, E
%A Dai, H
%A He, Y D
%A Kidd, M J
%A King, A M
%A Meyer, M R
%A Slade, D
%A Lum, P Y
%A Stepaniants, S B
%A Shoemaker, D D
%A Gachotte, D
%A Chakraburtty, K
%A Simon, J
%A Bard, M
%A Friend, S H
%D 2000
%J Cell
%K expression
%N 1
%P 109-126
%T Functional discovery via a compendium of expression profiles
%U http://www.ncbi.nlm.nih.gov/pubmed/10929718?dopt=AbstractPlus&holding=f1000,f1000m,isrctn
%V 102
%X Ascertaining the impact of uncharacterized perturbations on the cell is a fundamental problem in biology. Here, we describe how a single assay can be used to monitor hundreds of different cellular functions simultaneously. We constructed a reference database or "compendium" of expression profiles corresponding to 300 diverse mutations and chemical treatments in S. cerevisiae, and we show that the cellular pathways affected can be determined by pattern matching, even among very subtle profiles. The utility of this approach is validated by examining profiles caused by deletions of uncharacterized genes: we identify and experimentally confirm that eight uncharacterized open reading frames encode proteins required for sterol metabolism, cell wall function, mitochondrial respiration, or protein synthesis. We also show that the compendium can be used to characterize pharmacological perturbations by identifying a novel target of the commonly used drug dyclonine.
@article{Hughes:2000:Cell:10929718,
abstract = {Ascertaining the impact of uncharacterized perturbations on the cell is a fundamental problem in biology. Here, we describe how a single assay can be used to monitor hundreds of different cellular functions simultaneously. We constructed a reference database or "compendium" of expression profiles corresponding to 300 diverse mutations and chemical treatments in S. cerevisiae, and we show that the cellular pathways affected can be determined by pattern matching, even among very subtle profiles. The utility of this approach is validated by examining profiles caused by deletions of uncharacterized genes: we identify and experimentally confirm that eight uncharacterized open reading frames encode proteins required for sterol metabolism, cell wall function, mitochondrial respiration, or protein synthesis. We also show that the compendium can be used to characterize pharmacological perturbations by identifying a novel target of the commonly used drug dyclonine.},
added-at = {2009-11-19T22:12:19.000+0100},
author = {Hughes, T R and Marton, M J and Jones, A R and Roberts, C J and Stoughton, R and Armour, C D and Bennett, H A and Coffey, E and Dai, H and He, Y D and Kidd, M J and King, A M and Meyer, M R and Slade, D and Lum, P Y and Stepaniants, S B and Shoemaker, D D and Gachotte, D and Chakraburtty, K and Simon, J and Bard, M and Friend, S H},
biburl = {https://www.bibsonomy.org/bibtex/23841456bc7cced836defe7c358ac374d/cchen63},
description = {Functional discovery via a compendium of expressio... [Cell. 2000] - PubMed result},
interhash = {812165518580754c6a6eb3e29fc87d0b},
intrahash = {3841456bc7cced836defe7c358ac374d},
journal = {Cell},
keywords = {expression},
month = Jul,
number = 1,
pages = {109-126},
pmid = {10929718},
timestamp = {2009-11-19T22:12:19.000+0100},
title = {Functional discovery via a compendium of expression profiles},
url = {http://www.ncbi.nlm.nih.gov/pubmed/10929718?dopt=AbstractPlus&holding=f1000,f1000m,isrctn},
volume = 102,
year = 2000
}