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Protocols

IRIS specifications

Information


Unique identifier OMICS_12770
Name IRIS
Alternative name Immune Response In Silico
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained No

Taxon


  • Primates
    • Homo sapiens

Maintainer


This tool is not available anymore.

Publication for Immune Response In Silico

IRIS citations

 (3)
call_split

Similar Source of Differential Blood mRNAs in Lung Cancer and Pulmonary Inflammatory Diseases: Calls for Improved Strategy for Identifying Cancer Specific Biomarkers

2014
PLoS One
PMCID: 4171535
PMID: 25243474
DOI: 10.1371/journal.pone.0108104
call_split See protocol

[…] To determine whether the myeloid and lymphoid cell proportions differ in the PWB of pulmonary disease patients, we quantified the proportions of myeloid cells and lymphoid cells documented in the Immune Response in Silico (IRIS) database by a process of deconvolution . If B represents the known matrix of microarray expression profiles measured for a disease, comprising both disease and health […]

call_split

Deconvolution of the Gene Expression Profiles of Valuable Banked Blood Specimens for Studying the Prognostic Values of Altered Peripheral Immune Cell Proportions in Cancer Patients

2014
PLoS One
PMCID: 4069164
PMID: 24959668
DOI: 10.1371/journal.pone.0100934
call_split See protocol

[…] ts and the marker genes specifically expressed on B lymphocytes, T lymphocytes, natural killer (NK) lymphocytes, dendritic cells (DCs) and monocytes (excluding monocyte-derived DCs) documented in the Immune Response in Silico (IRIS) database , we evaluated the proportions of the five immune cells, which together make up 100% of PBMC, using a modified semi-supervised nonnegative matrix factorizatio […]

library_books

Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus

2009
PLoS One
PMCID: 2699551
PMID: 19568420
DOI: 10.1371/journal.pone.0006098

[…] be purified in order to construct expression signatures to use as bases for analysis. We have previously reported the purification and microarray analysis of a large collection of white blood cells (Immune Response In Silico, or “IRIS”) . These data include expression of genes in different activation and differentiation states that represent a spectrum of cell species present in blood, providing […]

Citations

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IRIS institution(s)
Department of Bioinformatics, San Francisco, CA, USA; Department of Immunology, San Francisco, CA, USA; Department of Molecular Biology, San Francisco, CA, USA

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