The effects of death and post-mortem cold ischemia on human tissue transcriptomes.
The effects of death and post-mortem cold ischemia on human tissue transcriptomes.
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DOI：
10.1038/s41467-017-02772-x
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发表时间：
2018-02-13
影响因子：
16.6
通讯作者：
Guigó R
中科院分区：
文献类型：
--
作者：
Ferreira PG;Muñoz-Aguirre M;Reverter F;Sá Godinho CP;Sousa A;Amadoz A;Sodaei R;Hidalgo MR;Pervouchine D;Carbonell-Caballero J;Nurtdinov R;Breschi A;Amador R;Oliveira P;Çubuk C;Curado J;Aguet F;Oliveira C;Dopazo J;Sammeth M;Ardlie KG;Guigó R
Post-mortem tissues samples are a key resource for investigating patterns of gene expression. However, the processes triggered by death and the post-mortem interval (PMI) can significantly alter physiologically normal RNA levels. We investigate the impact of PMI on gene expression using data from multiple tissues of post-mortem donors obtained from the GTEx project. We find that many genes change expression over relatively short PMIs in a tissue-specific manner, but this potentially confounding effect in a biological analysis can be minimized by taking into account appropriate covariates. By comparing ante- and post-mortem blood samples, we identify the cascade of transcriptional events triggered by death of the organism. These events do not appear to simply reflect stochastic variation resulting from mRNA degradation, but active and ongoing regulation of transcription. Finally, we develop a model to predict the time since death from the analysis of the transcriptome of a few readily accessible tissues. RNA levels in post-mortem tissue can differ greatly from those before death. Studying the effect of post-mortem interval on the transcriptome in 36 human tissues, Ferreira et al. find that the response to death is largely tissue-specific and develop a model to predict time since death based on RNA data.
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影响因子：
3.1
作者：
Heinrich, Marielle;Lutz-Bonengel, Sabine;Schmidt, Ulrike
通讯作者：
Schmidt, Ulrike
遗传对人体组织基因表达的影响。
影响因子：
64.8
作者：
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者：
Montgomery SB
影响因子：
12.3
作者：
Gonzàlez-Porta M;Frankish A;Rung J;Harrow J;Brazma A
通讯作者：
Brazma A
影响因子：
2.1
作者：
Heinrich, Marielle;Matt, Katja;Schmidt, Ulrike
通讯作者：
Schmidt, Ulrike
影响因子：
7
作者：
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者：
Hubbard TJ