SynthesisMolecular systems biology2009
Disease signatures are robust across tissues and experiments.
Synthesis in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
64 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Critical period plasticity-related transcriptional aberrations in schizophrenia and bipolar disorder.Schizophrenia research · 2019Pooled it
- Identification of genes highly downregulated in pancreatic cancer through a meta-analysis of microarray datasets: implications for discovery of novel tumor-suppressor genes and therapeutic targets.Journal of cancer research and clinical oncology · 2018Pooled it
- Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.BMC neurology · 2017Pooled it
- A common gene signature across multiple studies relate biomarkers and functional regulation in tolerance to renal allograft.Kidney international · 2015Pooled it
- A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers.PloS one · 2014Pooled it
- Multiparity induces persistent myocardial structural, functional and transcriptomic remodelling in mice.Scientific reports · 2025Article
- Adaptive and innate immune responses in multiple sclerosis with anti-CD20 therapy: Gene expression and protein profiles.Frontiers in neurology · 2023Article
- Prospects and challenges of cancer systems medicine: from genes to disease networks.Briefings in bioinformatics · 2022Review
- Drug repositioning by merging active subnetworks validated in cancer and COVID-19.Scientific reports · 2021Article
- Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis.Frontiers in immunology · 2021Article
- Article
- Unveiling new disease, pathway, and gene associations via multi-scale neural network.PloS one · 2020Article
- Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth.Frontiers in microbiology · 2020Article
- Interferon-β corrects massive gene dysregulation in multiple sclerosis: Short-term and long-term effects on immune regulation and neuroprotection.EBioMedicine · 2019Article
- Identification of differentially expressed genes in small and non-small cell lung cancer based on meta-analysis of mRNA.Heliyon · 2019Article
- Robust prediction of clinical outcomes using cytometry data.Bioinformatics (Oxford, England) · 2019Article
- Leveraging Big Data to Transform Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Integrative bioinformatics identifies postnatal lead (Pb) exposure disrupts developmental cortical plasticity.Scientific reports · 2018Article
- Cancer transcriptome profiling at the juncture of clinical translation.Nature reviews. Genetics · 2018Review
- Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin.JCI insight · 2017Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Meta-analyses combining gene expression microarray experiments offer new insights into the molecular pathophysiology of disease not evident from individual experiments. Although the established technical reproducibility of microarrays serves as a basis for meta-analysis, pathophysiological reproducibility across experiments is not well established. In this study, we carried out a large-scale analysis of disease-associated experiments obtained from NCBI GEO, and evaluated their concordance across a broad range of diseases and tissue types. On evaluating 429 experiments, representing 238 diseases and 122 tissues from 8435 microarrays, we find evidence for a general, pathophysiological concordance between experiments measuring the same disease condition. Furthermore, we find that the molecular signature of disease across tissues is overall more prominent than the signature of tissue expression across diseases. The results offer new insight into the quality of public microarray data using pathophysiological metrics, and support new directions in meta-analysis that include characterization of the commonalities of disease irrespective of tissue, as well as the creation of multi-tissue systems models of disease pathology using public data.
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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.