Expression Connection

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Expression Connection allows you to search gene expression data from multiple microarray studies.

bullet Search I: Find the expression of one or more genes in one or more datasets.

bullet Search II: Find datasets where the expression of one or more genes changes by an amount you define.

bullet Search III: Find all genes that change expression in a manner you define in one or more datasets (eg. increase by 10-fold).

bullet Other Expression-Related Resources:
  • Webminer: Search microarray datasets on an experiment by experiment basis.

  • External Resources

    • SPELL (Serial Pattern of Expression Levels Locator): A query-driven search engine for large gene expression microarray compendia. Given a small set of query genes, SPELL identifies which datasets are most informative for these genes, then within those datasets additional genes are identified with expression profiles most similar to the query set.

    • Other Resources: Go to websites outside of SGD.

bullet Search I: Find the expression of one or more genes in one or more datasets.Back to top
Step 1. Specify gene name(s):
Enter gene name(s) separated by "Return":
ORSelect TEXT file with list of ORF or gene names, one per line. WORD Documents do not work unless saved as TEXT:
Step 2. Select datasets you wish to query:
Effects of glycosylation defects on gene expression, University of OregonCullen PJ, et al.
Evolution of expression during glucose limitation, Stanford UniversityFerea TL, et al.
Exploration of essential gene functions via titratable promoter alleles, University of TorontoMnaimneh S, et al.
Expression analysis of snf/swi mutants, Harvard University, Stanford UniversitySudarsanam P, et al.
Expression during sporulation, UCSF, Stanford UniversityChu S, et al.
Expression during the cell cycle, Stanford University, Cold Spring HarborSpellman PT, et al.
The analysis in Spellman et al included data from Cho et al
Expression during the diauxic shift, Stanford UniversityDeRisi JL, et al.
Expression during the unfolded protein response, UCSFTravers KJ, et al.
Expression in response to DNA-damaging agents, Stanford UniversityGasch AP, et al.
Expression in response to alpha-factor (over time), Rosetta InpharmaticsRoberts CJ, et al.
Expression in response to alpha-factor (various concentrations), Rosetta InpharmaticsRoberts CJ, et al.
Expression in response to anoxia (0 - 6 generations) and subsequent reoxygenation (6 - 7.6 generations) in galactose, University of Illinois, UrbanaLai LC, et al.
Expression in response to anoxia (0 - 6 generations) and subsequent reoxygenation (6 - 7.6 generations) in glucose, University of Illinois, UrbanaLai LC, et al.
Expression in response to arsenic (time and dose), NIEHS (NIH), UCSD, Stanford UniversityHaugen AC, et al.
Expression in response to environmental changes, Stanford UniversityGasch AP, et al.
Expression in response to histone depletion, Stanford UniversityWyrick JJ, et al.
Expression in response to peroxisome induction and repression, The Institute for Systems Biology and University of AlbertaSmith JJ, et al.
Expression in response to varying zinc levels, University of Missouri, Stanford UniversityLyons TJ, et al.
Expression in the presence of small-molecule inhibitors of rapamycin (SMIRs), Harvard, Yale, UCLAHuang J, et al.
Expression regulated by the PHO pathway, Stanford UniversityOgawa N, et al.
Expression regulated by the calcineurin/Crz1 pathway, StanfordYoshimoto H, et al.
Gene regulation by HTZ1, SWR1 and SIR2, UCSFMeneghini MD, et al.
Kobor MS, et al.
Gene regulation by Ino80 and Arp8, FMI, Basel, Switzerlandvan Attikum H, et al.
Gene regulation by Ino80 and Arp8 in response to MMS, FMI, Basel, Switzerlandvan Attikum H, et al.
Gene regulation by Swr1, Htz1, and Ino80, National Cancer InstituteMizuguchi G, et al.
Ploidy regulation of gene expression, Whitehead, MITGalitski T, et al.
Response to creating a single unrepaired DSB by HO endonuclease in nocodazole-arrested cells, Brandeis & Stanford UniversitiesLee SE, et al.
Role of transcription factors in adaptation to arsenic-induced stress, NIEHS (NIH), UCSD, Stanford UniversityHaugen AC, et al.
Transition from fermentative to glycerol-based respiratory growth, Wayne State University School of MedicineRoberts GG and Hudson AP
Select All
Step 3.
bullet Search II: Find datasets where the expression of one or more genes changes by an amount you define.Back to top
Step 1. Specify gene name(s):
Enter gene name(s) separated by "Return":
ORSelect TEXT file with list of ORF or gene names, one per line. WORD Documents do not work unless saved as TEXT:
Step 2. Choose expression change:
Get experiments where gene expression is
by fold. (Enter a positive integer greater than or equal to 2)
Step 3.
bullet Search III: Find all genes that change expression in a manner you define in one or more datasets (eg. increase by 10-fold).Back to top
Step 1. Choose expression change:
Get all genes that are
by fold. (Enter a positive integer greater than or equal to 2)
Step 2. Select datasets you wish to query:
Effects of glycosylation defects on gene expression, University of OregonCullen PJ, et al.
Evolution of expression during glucose limitation, Stanford UniversityFerea TL, et al.
Exploration of essential gene functions via titratable promoter alleles, University of TorontoMnaimneh S, et al.
Expression analysis of snf/swi mutants, Harvard University, Stanford UniversitySudarsanam P, et al.
Expression during sporulation, UCSF, Stanford UniversityChu S, et al.
Expression during the cell cycle, Stanford University, Cold Spring HarborSpellman PT, et al.
The analysis in Spellman et al included data from Cho et al
Expression during the diauxic shift, Stanford UniversityDeRisi JL, et al.
Expression during the unfolded protein response, UCSFTravers KJ, et al.
Expression in response to DNA-damaging agents, Stanford UniversityGasch AP, et al.
Expression in response to alpha-factor (over time), Rosetta InpharmaticsRoberts CJ, et al.
Expression in response to alpha-factor (various concentrations), Rosetta InpharmaticsRoberts CJ, et al.
Expression in response to anoxia (0 - 6 generations) and subsequent reoxygenation (6 - 7.6 generations) in galactose, University of Illinois, UrbanaLai LC, et al.
Expression in response to anoxia (0 - 6 generations) and subsequent reoxygenation (6 - 7.6 generations) in glucose, University of Illinois, UrbanaLai LC, et al.
Expression in response to arsenic (time and dose), NIEHS (NIH), UCSD, Stanford UniversityHaugen AC, et al.
Expression in response to environmental changes, Stanford UniversityGasch AP, et al.
Expression in response to histone depletion, Stanford UniversityWyrick JJ, et al.
Expression in response to peroxisome induction and repression, The Institute for Systems Biology and University of AlbertaSmith JJ, et al.
Expression in response to varying zinc levels, University of Missouri, Stanford UniversityLyons TJ, et al.
Expression in the presence of small-molecule inhibitors of rapamycin (SMIRs), Harvard, Yale, UCLAHuang J, et al.
Expression regulated by the PHO pathway, Stanford UniversityOgawa N, et al.
Expression regulated by the calcineurin/Crz1 pathway, StanfordYoshimoto H, et al.
Gene regulation by HTZ1, SWR1 and SIR2, UCSFMeneghini MD, et al.
Kobor MS, et al.
Gene regulation by Ino80 and Arp8, FMI, Basel, Switzerlandvan Attikum H, et al.
Gene regulation by Ino80 and Arp8 in response to MMS, FMI, Basel, Switzerlandvan Attikum H, et al.
Gene regulation by Swr1, Htz1, and Ino80, National Cancer InstituteMizuguchi G, et al.
Ploidy regulation of gene expression, Whitehead, MITGalitski T, et al.
Response to creating a single unrepaired DSB by HO endonuclease in nocodazole-arrested cells, Brandeis & Stanford UniversitiesLee SE, et al.
Role of transcription factors in adaptation to arsenic-induced stress, NIEHS (NIH), UCSD, Stanford UniversityHaugen AC, et al.
Transition from fermentative to glycerol-based respiratory growth, Wayne State University School of MedicineRoberts GG and Hudson AP
Select All
Step 3.

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