ArticleBMC genomics2012
Postmortem cardiac tissue maintains gene expression profile even after late harvesting.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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
22 citing papers in PubMed, 40 citations in OpenAlex.
- Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver.Life (Basel, Switzerland) · 2026Article
- Rapid autopsies to enhance metastatic research: the UPTIDER post-mortem tissue donation program.NPJ breast cancer · 2024Article
- The Case for, and Challenges of, Human Cardiac Tissue in Advancing Phosphoprotein Research.Frontiers in physiology · 2022Review
- Gene expression profile in cases of infectious death in infancy.Pediatric research · 2021Article
- Tissue-specific relaxin-2 is differentially associated with the presence/size of an arterial aneurysm and the severity of atherosclerotic disease in humans.Acta pharmacologica Sinica · 2020Article
- Extensive Changes in Transcriptomic "Fingerprints" and Immunological Cells in the Large Organs of Patients Dying of Acute Septic Shock and Multiple Organ Failure Caused byFrontiers in cellular and infection microbiology · 2020Article
- Human cardiac myosin light chain 4 (MYL4) mosaic expression patterns vary by sex.Scientific reports · 2019Article
- Article
- Article
- Species and cell-type properties of classically defined human and rodent neurons and glia.eLife · 2018Article
- Systematic analysis of gene expression patterns associated with postmortem interval in human tissues.Scientific reports · 2017Article
- Molecular Characterization of Pediatric Restrictive Cardiomyopathy from Integrative Genomics.Scientific reports · 2017Article
- Using Postmortem hippocampi tissue can interfere with differential gene expression analysis of the epileptogenic process.PloS one · 2017Article
- Quantification of nucleic acid quality in postmortem tissues from a cancer research autopsy program.Oncotarget · 2016Article
- Complex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung Transcriptome.American journal of human genetics · 2016Article
- Altered gene expression and possible immunodeficiency in cases of sudden infant death syndrome.Pediatric research · 2016Article
- The apoptotic thanatotranscriptome associated with the liver of cadavers.Forensic science, medicine, and pathology · 2015Article
- The human subject: an integrative animal model for 21(st) century heart failure research.American journal of translational research · 2015Review
- HPASubC: A suite of tools for user subclassification of human protein atlas tissue images.Journal of pathology informatics · 2015Article
- A tissue-specific gene expression template portrays heart development and pathology.Human genomics · 2014Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGene expression studies can be used to help identify disease-associated genes by comparing the levels of expressed transcripts between cases and controls, and to identify functional genetic variants (expression quantitative loci or eQTLs) by comparing expression levels between individuals with different genotypes. While many of these studies are performed in blood or lymphoblastoid cell lines due to tissue accessibility, the relevance of expression differences in tissues that are not the primary site of disease is unclear. Further, many eQTLs are tissue specific. Thus, there is a clear and compelling need to conduct gene expression studies in tissues that are specifically relevant to the disease of interest. One major technical concern about using autopsy-derived tissue is how representative it is of physiologic conditions, given the effect of postmortem interval on tissue degradation.
resultsIn this study, we monitored the gene expression of 13 tissue samples harvested from a rapid autopsy heart (non-failed heart) and 7 from a cardiac explant (failed heart) through 24 hours of autolysis. The 24 hour autopsy simulation was designed to reflect a typical autopsy scenario where a body may begin cooling to ambient temperature for ~12 hours, before transportation and storage in a refrigerated room in a morgue. In addition, we also simulated a scenario wherein the body was left at room temperature for up to 24 hours before being found. A small fraction (< 2.5%) of genes showed fluctuations in expression over the 24 hr period and largely belong to immune and signal response and energy metabolism-related processes. Global expression analysis suggests that RNA expression is reproducible over 24 hours of autolysis with 95% genes showing < 1.2 fold change. Comparing the rapid autopsy to the failed heart identified 480 differentially expressed genes, including several types of collagens, lumican (LUM), natriuretic peptide A (NPPA) and connective tissue growth factor (CTGF), which allows for the clear separation between failing and non-failing heart based on gene expression profiles.
conclusionsOur results demonstrate that RNA from autopsy-derived tissue, even up to 24 hours of autolysis, can be used to identify biologically relevant expression pattern differences, thus serving as a practical source for gene expression experiments.
Indexed as
Identifiers
What OpenQuestion holds
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.