Systematic analysis of gene expression patterns associated with postmortem interval in human tissues

Hierarchical Grouping to Optimize an Objective Function

Ward, J. H. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500845 · Cited by 21,341 · see citing works

DAVID: Database for Annotation, Visualization, and Integrated Discovery

Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327 · see citing works

Controlling the false discovery rate in behavior genetics research

Benjamini, Y., Drai, D., Elmer, G., Kafkafi, N., & Golani, I. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00297-2 · Cited by 4,146 · see citing works

Robust Tests for the Equality of Variances

Brown, M. B., & Forsythe, A. B. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10482955 · Cited by 3,216 · see citing works

The RIN: an RNA integrity number for assigning integrity values to RNA measurements

Schroeder, A., Mueller, O., Stocker, S., Salowsky, R., Leiber, M., Gassmann, M., Lightfoot, S., Menzel, W., Granzow, M., & Ragg, T. (2006) · BMC Molecular Biology · doi:10.1186/1471-2199-7-3 · Cited by 2,623 · see citing works

The human transcriptome across tissues and individuals

Melé, M., Ferreira, P. G., Reverter, F., DeLuca, D. S., Monlong, J., Sammeth, M., Young, T. R., Goldmann, J. M., Pervouchine, D. D., Sullivan, T. J., et al. (2015) · Science · doi:10.1126/science.aaa0355 · Cited by 1,304 · see citing works

The highways and byways of mRNA decay

Garneau, N. L., Wilusz, J., & Wilusz, C. J. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2104 · Cited by 1,294 · see citing works

The Many Pathways of RNA Degradation

Houseley, J. M., & Tollervey, D. W. (2009) · Cell · doi:10.1016/j.cell.2009.01.019 · Cited by 1,220 · see citing works

Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses

Stegle, O., Parts, L., Piipari, M., Winn, J., & Durbin, R. (2012) · Nature Protocols · doi:10.1038/nprot.2011.457 · Cited by 1,049 · see citing works

Optimizing illumina next-generation sequencing library preparation for extremely at-biased genomes

Oyola, S. O., Otto, T. D., Gu, Y., Maslen, G. L., Manske, M., Campino, S. G., Turner, D., MacInnis, B. L., Kwiatkowski, D. P., Swerdlow, H., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-1 · Cited by 654 · see citing works

Decay Rates of Human mRNAs: Correlation With Functional Characteristics and Sequence AttributesPreprint

Yang, E., van Nimwegen, E., Zavolan, M., Rajewsky, N., Schroeder, M., Magnasco, M., & Darnell, J. E., Jr. (2003) · Genome Research · doi:10.1101/gr.1272403 · Cited by 598 · see citing works

Nrf2, a multi‐organ protector?

Lee, J., Li, J., Johnson, D. A., Stein, T. D., Kraft, A. D., Calkins, M. J., Jakel, R. J., & Johnson, J. A. (2005) · The FASEB Journal · doi:10.1096/fj.04-2591hyp · Cited by 532 · see citing works

RNA-seq: impact of RNA degradation on transcript quantification

Romero, I. G., Pai, A. A., Tung, J., & Gilad, Y. (2014) · BMC Biology · doi:10.1186/1741-7007-12-42 · Cited by 473 · see citing works

Molecular neuropathology of frontotemporal dementia: insights into disease mechanisms from postmortem studies

Mackenzie, I. R., & Neumann, M. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13588 · Cited by 374 · see citing works

Populations of a cyprinid fish are self-sustaining despite widespread feminization of males

Hamilton, P. B., Nicol, E., De-Bastos, E. S. R., Williams, R. J., Sumpter, J. P., Jobling, S., Stevens, J. R., & Tyler, C. R. (2014) · BMC Biology · doi:10.1186/1741-7007-12-1 · Cited by 283 · see citing works

The Genotype-Tissue Expression (GTEx) project

Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works

Quantifying mRNA in postmortem human brain: influence of gender, age at death, postmortem interval, brain pH, agonal state and inter-lobe mRNA variance

Preece, P., & Cairns, N. J. (2003) · Molecular Brain Research · doi:10.1016/s0169-328x(03)00337-1 · Cited by 206 · see citing works

Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Yang, J., Huang, T., Petralia, F., Long, Q., Zhang, B., Argmann, C., Zhao, Y. B., Mobbs, C. V., Schadt, E. E., Zhu, J., et al. (2015) · Scientific Reports · doi:10.1038/srep15145 · Cited by 198 · see citing works

Quantification of mRNA degradation as possible indicator of postmortem interval—a pilot study

Bauer, M., Gramlich, I., Polzin, S., & Patzelt, D. (2003) · Legal Medicine · doi:10.1016/j.legalmed.2003.08.001 · Cited by 179 · see citing works

Competition between the DNA unwinding and strand pairing activities of the Werner and Bloom syndrome proteins

Machwe, A., Lozada, E., Xiao, L., & Orren, D. K. (2006) · BMC Molecular Biology · doi:10.1186/1471-2199-7-1 · Cited by 174 · see citing works

Profiling of RNA Degradation for Estimation of Post Morterm Interval

Sampaio-Silva, F., Magalhães, T., Carvalho, F. D., Dinis‐Oliveira, R. J., & Silvestre, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056507 · Cited by 174 · see citing works

Calpain Function in the Modulation of Signal Transduction Molecules

Sato, K., & Kawashima, S. (2001) · Biological Chemistry · doi:10.1515/bc.2001.090 · Cited by 168 · see citing works

mRNA degradation machines in eukaryotic cells

Tourrière, H., Chébli, K., & Tazi, J. (2002) · Biochimie · doi:10.1016/s0300-9084(02)01445-1 · Cited by 153 · see citing works

Structure determination of human and murine beta-defensins reveals structural conservation in the absence of significant sequence similarity

Bauer, F., Schweimer, K., Klüver, E., Conejo-Garcia, J. R., Forssmann, W., ROSCH, P. J., Adermann, K., & Sticht, H. (2001) · Protein Science · doi:10.1110/ps.24401 · Cited by 152 · see citing works

Allele-Specific Holliday Junction Formation: A New Mechanism of Allelic Discrimination for SNP Scoring

Yang, Q., Lishanski, A., Yang, W., Hatcher, S., Seet, H., & Gregg, J. P. (2003) · Genome Research · doi:10.1101/gr.997703 · Cited by 136 · see citing works

Effects of RNA degradation on gene expression analysis of human postmortem tissues

Lee, J. S. H., Hevér, A., Willhite, D., Zlotnik, A., & Hevezi, P. A. (2005) · The FASEB Journal · doi:10.1096/fj.04-3552fje · Cited by 122 · see citing works

RNA integrity in post-mortem samples: influencing parameters and implications on RT-qPCR assays

Koppelkamm, A., Vennemann, B., Lutz‐Bonengel, S., Fracasso, T., & Vennemann, M. (2011) · International Journal of Legal Medicine · doi:10.1007/s00414-011-0578-1 · Cited by 106 · see citing works

Structure determination of human and murine beta-defensins reveals structural conservation in the absence of significant sequence similarity

Bauer, F. (2001) · Protein Science · doi:10.1110/ps.ps.24401 · Cited by 101 · see citing works

Calpain Function in the Modulation of Signal Transduction Molecules

Sato, K., & Kawashima, S. (2001) · Biological Chemistry · doi:10.1515/bchm.2001.382.5.743 · Cited by 100 · see citing works

Estimating postmortem interval using RNA degradation and morphological changes in tooth pulp

Young, S. T., Wells, J. D., Hobbs, G. R., & Bishop, C. P. (2013) · Forensic Science International · doi:10.1016/j.forsciint.2013.03.035 · Cited by 96 · see citing works

Brain banking for neurological disorders

Samarasekera, N., Salman, R. A., Huitinga, I., Klioueva, N. M., McLean, C., Kretzschmar, H. A., Smith, C., & Ironside, J. W. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70202-3 · Cited by 96 · see citing works

Can we infer post mortem interval on the basis of decomposition rate? A case from a Portuguese cemetery

Ferreira, M. T., & Cunha, E. M. (2013) · Forensic Science International · doi:10.1016/j.forsciint.2013.01.006 · Cited by 83 · see citing works

Characterization of RNA isolated from eighteen different human tissues: results from a rapid human autopsy program

Walker, D. G., Whetzel, A. M., Serrano, G. E., Sue, L. I., Lue, L., & Beach, T. G. (2016) · Cell and Tissue Banking · doi:10.1007/s10561-016-9555-8 · Cited by 65 · see citing works

Postmortem Delay Has Minimal Effect on Brain RNA Integrity

Ervin, J. F., Heinzen, E. L., Cronin, K. D., Goldstein, D. B., Szymanski, M. H., Burke, J. R., Welsh-Bohmer, K. A., & Hulette, C. M. (2007) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31815c196a · Cited by 63 · see citing works

Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures

Ma, J., Pan, H., Zeng, Y., Lv, Y., Zhang, H., Xue, A., Jiang, J., Ma, K., & Chen, L. (2015) · Forensic Science Medicine and Pathology · doi:10.1007/s12024-015-9703-7 · Cited by 61 · see citing works

Studies on RNA integrity and gene expression in human myocardial tissue, pericardial fluid and blood, and its postmortem stability

González-Herrera, L., Valenzuela, A., Marchal, J. A., Lorente, J. A., & Villanueva, E. (2013) · Forensic Science International · doi:10.1016/j.forsciint.2013.08.001 · Cited by 59 · see citing works

Analysis of mRNA from human heart tissue and putative applications in forensic molecular pathology

Partemi, S., Berne, P., Batlle, M., Berruezo, A., Mont, L., Riuró, H., Ortiz-Pérez, J. T., Roig, E. S., Pascali, V. L., Brugada, R., et al. (2010) · Forensic Science International · doi:10.1016/j.forsciint.2010.07.005 · Cited by 52 · see citing works

First application of a protein-based approach for time since death estimation

Pittner, S., Ehrenfellner, B., Zissler, A., Racher, V., Trutschnig, W., Bathke, A. C., Sänger, A. M., Stoiber, W., Steinbacher, P., & Monticelli, F. C. (2016) · International Journal of Legal Medicine · doi:10.1007/s00414-016-1459-4 · Cited by 44 · see citing works

Postmortem cardiac tissue maintains gene expression profile even after late harvesting

Gupta, S., Halushka, M. K., Hilton, G. M., & Arking, D. E. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-26 · Cited by 38 · see citing works

Aging Shapes the Population-Mean and -Dispersion of Gene Expression in Human Brains

Brinkmeyer‐Langford, C., Guan, J., Ji, G., & Cai, J. J. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00183 · Cited by 34 · see citing works

Postmortem RNA and Protein Stability in Perinatal Human Lungs

Paepe, M. E. D., Mao, Q., Huang, C., Zhu, D., Jackson, C. L., & Hansen, K. M. (2002) · Diagnostic Molecular Pathology · doi:10.1097/00019606-200209000-00008 · Cited by 30 · see citing works

Quantification of nucleic acid quality in postmortem tissues from a cancer research autopsy program

Fan, J., Khanin, R., Sakamoto, H., Zhong, Y., Michael, C., Pena, D., Javier, B. M., Wood, L. D., & Iacobuzio–Donahue, C. A. (2016) · Oncotarget · doi:10.18632/oncotarget.11836 · Cited by 29 · see citing works

Extended post-mortem delay times should not be viewed as a deterrent to the scientific investigation of human brain tissue: a study from the Brains for Dementia Research Network Neuropathology Study Group, UK

Robinson, A., Palmer, L., Love, S., Hamard, M., Esiri, M. M., Ansorge, O., Lett, D. J., Attems, J., Morris, C. M., Troakes, C., et al. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1617-2 · Cited by 27 · see citing works

Characterization of gene expression profiling of mouse tissues obtained during the postmortem interval

Sobue, S., Sakata, K., Sekijima, Y., Qiao, S., Murate, T., & Ichihara, M. (2016) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2016.05.007 · Cited by 15 · see citing works

A time course study demonstrating RNA stability in postmortem skin

Gopee, N. V., & Howard, P. C. (2006) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2006.11.001 · Cited by 12 · see citing works

Post-mortem cytogenomic investigations in patients with congenital malformations

Dias, A. T., Zanardo, É. A., Dutra, R. L., Piazzon, F., Novo‐Filho, G. M., Montenegro, M. M., Nascimento, A. M., Rocha, M. V., Madia, F. A. R., Costa, T. V. M. M., et al. (2016) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2016.07.003 · Cited by 7 · see citing works

Conserved cell types with divergent features in human versus mouse cortex

Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works

Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247 · see citing works

A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · see citing works

A practical guide to linking brain-wide gene expression and neuroimaging data

Arnatkevičiūtė, A., Fulcher, B., & Fornito, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.011 · Cited by 806 · see citing works

Transcriptional signature in microglia associated with Aβ plaque phagocytosis

Grubman, A., Choo, X. Y., Chew, G., Ouyang, J. F., Sun, G., Croft, N. P., Rossello, F. J., Simmons, R., Buckberry, S., Landin, D. V., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23111-1 · Cited by 357 · see citing works

Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics

Gulati, G. S., D'Silva, J. P., Liu, Y., Wang, L., & Newman, A. M. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00768-2 · Cited by 328 · see citing works

Detection of SARS-CoV-2 in Human Retinal Biopsies of Deceased COVID-19 Patients

Casagrande, M. K., Fitzek, A., Püschel, K., Aleshcheva, G., Schultheiß, H., Berneking, L., Spitzer, M. S., & Schultheiß, M. (2020) · Ocular Immunology and Inflammation · doi:10.1080/09273948.2020.1770301 · Cited by 293 · see citing works

Genomics, convergent neuroscience and progress in understanding autism spectrum disorder

Willsey, H. R., Willsey, A. J., Wang, B., & State, M. W. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00576-7 · Cited by 229 · see citing works

Characterization of the immune microenvironment of diffuse intrinsic pontine glioma: implications for development of immunotherapy

Lieberman, N. A. P., DeGolier, K., Kovar, H. M., Davis, A. D., Hoglund, V. J., Stevens, J., Winter, C., Deutsch, G. H., Furlan, S. N., Vitanza, N. A., et al. (2018) · Neuro-Oncology · doi:10.1093/neuonc/noy145 · Cited by 194 · see citing works

The Human Microglia Atlas (HuMicA) unravels changes in disease-associated microglia subsets across neurodegenerative conditions

Martins-Ferreira, R., Calafell-Segura, J., Leal, B., Rodríguez-Ubreva, J., Martínez-Saez, E., Mereu, E., Pinho E Costa, P., Laguna, A., & Ballestar, E. (2025) · Nature Communications · doi:10.1038/s41467-025-56124-1 · Cited by 123 · see citing works

Cancer biology as revealed by the research autopsy

Iacobuzio–Donahue, C. A., Michael, C., Baez, P., Kappagantula, R. L., Hooper, J. E., & Hollman, T. J. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0199-4 · Cited by 89 · see citing works

Forensic transcriptome analysis using massively parallel sequencing

Haas, C., Neubauer, J., Salzmann, A. P., Hanson, E., & Ballantyne, J. (2021) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2021.102486 · Cited by 83 · see citing works

Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements

Anderson, A. G., Rogers, B. B., Loupe, J. M., Rodriguez-Nunez, I., Roberts, S. C., White, L. M., Brazell, J. N., Bunney, W. E., Bunney, B. G., Watson, S. J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100263 · Cited by 82 · see citing works

Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

Williamson, A., Norris, D. M., Yin, X., Broadaway, K. A., Moxley, A. H., Vadlamudi, S., Wilson, E. P., Jackson, A., Ahuja, V., Andersen, M. K., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01408-9 · Cited by 82 · see citing works

Selective time-dependent changes in activity and cell-specific gene expression in human postmortem brain

Dachet, F., Brown, J. B., Valyi-Nagy, T., Narayan, K. D., Serafini, A., Boley, N., Gingeras, T. R., Celniker, S. E., Mohapatra, G., & Loeb, J. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-85801-6 · Cited by 81 · see citing works

Post-mortem changes in metabolomic profiles of human serum, aqueous humor and vitreous humor

Zelentsova, E. A., Yanshole, L. V., Melnikov, A. D., Kudryavtsev, I. S., Novoselov, V. P., & Tsentalovich, Y. P. (2020) · Metabolomics · doi:10.1007/s11306-020-01700-3 · Cited by 75 · see citing works

COVID-19 autopsy cases: detection of virus in endocrine tissues

Poma, A. M., Bonuccelli, D., Giannini, R., Macerola, E., Vignali, P., Ugolini, C., Torregrossa, L., Proietti, A., Pistello, M., Basolo, A., et al. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-021-01628-y · Cited by 75 · see citing works

Evaluating the potential of housekeeping genes, rRNAs, snRNAs, microRNAs and circRNAs as reference genes for the estimation of PMI

Tu, C., Du, T., Shao, C., Liu, Z., Li, L., & Shen, Y. (2018) · Forensic Science Medicine and Pathology · doi:10.1007/s12024-018-9973-y · Cited by 75 · see citing works

A Genetics Perspective on the Role of the (Neuro)Immune System in Schizophrenia

Birnbaum, R., & Weinberger, D. R. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.02.005 · Cited by 68 · see citing works

On the cross-population generalizability of gene expression prediction models

Keys, K. L., Mak, A. C. Y., White, M. J., Eckalbar, W. L., Dahl, A., Mefford, J., Mikhaylova, A. V., Contreras, M. G., Elhawary, J. R., Eng, C. S., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008927 · Cited by 67 · see citing works

Considerations for building and using integrated single-cell atlases

Hrovatin, K., Sikkema, L., Shitov, V. A., Heimberg, G., Shulman, M., Oliver, A. J., Mueller, M. F., Ibarra, I. L., Wang, H., Ramírez-Suástegui, C., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02532-y · Cited by 67 · see citing works

Single nucleus transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms

Zhang, Z., Zamojski, M., Smith, G. R., Willis, T. L., Yianni, V., Mendelev, N., Pinças, H., Seenarine, N., Amper, M. A. S., Vasoya, M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110467 · Cited by 66 · see citing works

Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases

Durán, R. C., González-Orozco, J. C., Velasco, I., & Wu, J. Q. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.884748 · Cited by 64 · see citing works

Temporal changes in the gene expression heterogeneity during brain development and aging

Işıldak, U., Somel, M., Thornton, J. M., & Dönertaş, H. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60998-0 · Cited by 53 · see citing works

Single-Cell RNA Sequencing in Parkinson’s Disease

Ma, S., & Lim, S. B. (2021) · Biomedicines · doi:10.3390/biomedicines9040368 · Cited by 49 · see citing works

A 1H NMR metabolomic approach for the estimation of the time since death using aqueous humour: an animal model

Locci, E., Stocchero, M., Noto, A., Chighine, A., Natali, L., Napoli, P. E., Caria, R., De‐Giorgio, F., Nioi, M., & d’Aloja, E. (2019) · Metabolomics · doi:10.1007/s11306-019-1533-2 · Cited by 47 · see citing works

Differential expression of MicroRNAs in Alzheimer’s disease: a systematic review and meta-analysis

Yoon, S., Kim, S. E., Ko, Y., Jeong, G. H., Lee, K. H., Lee, J., Solmi, M., Jacob, L., Smith, L., Stickley, A., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01476-z · Cited by 47 · see citing works

Postmortem Interval Estimation: New Approaches by the Analysis of Human Tissues and Microbial Communities’ Changes

Zapico, S. C., & Adserias‐Garriga, J. (2022) · Forensic Sciences · doi:10.3390/forensicsci2010013 · Cited by 44 · see citing works

Dissecting the transcriptome in cardiovascular disease

Robinson, E. L., Baker, A. H., Brittan, M., McCracken, I. R., Condorelli, G., Emanueli, C., Srivastava, P. K., Gaetano, C., Thum, T., Vanhaverbeke, M., et al. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvab117 · Cited by 43 · see citing works

Forensic NMR metabolomics: one more arrow in the quiver

Locci, E., Bazzano, G., Chighine, A., Locco, F., Ferraro, E., Demontis, R., & d’Aloja, E. (2020) · Metabolomics · doi:10.1007/s11306-020-01743-6 · Cited by 40 · see citing works

Epigenetic analyses in forensic medicine: future and challenges

Gerra, M. C., Dallabona, C., & Cecchi, R. (2024) · International Journal of Legal Medicine · doi:10.1007/s00414-024-03165-8 · Cited by 37 · see citing works

Optimized DNA Extraction and Purification Method for Characterization of Bacterial and Fungal Communities in Lung Tissue Samples

Pérez‐Brocal, V., Magne, F., Ruiz‐Ruiz, S., Ponce, C. A., Bustamante, R. I., Martin, V. S., Gutierrez, M., Gatti, G., Vargas, S. L., & Moyá, A. (2019) · Scientific Reports · doi:10.1038/s41598-020-74137-2 · Cited by 33 · see citing works

Impact of RNA degradation on next-generation sequencing transcriptome data

Lu, W., Zhou, Q., & Chen, Y. (2022) · Genomics · doi:10.1016/j.ygeno.2022.110429 · Cited by 32 · see citing works

From flesh to bones: Multi‐omics approaches in forensic science

Procopio, N., & Bonicelli, A. (2024) · Proteomics · doi:10.1002/pmic.202200335 · Cited by 23 · see citing works

Current Understanding and Future Research Direction for Estimating the Postmortem Interval: A Systematic Review

Strete, E. G., Sălcudean, A., Cozma, A.-A., & Radu, C. C. (2025) · Diagnostics · doi:10.3390/diagnostics15151954 · Cited by 29 · see citing works

The thanatotranscriptome: Gene expression of male reproductive organs after death

Tolbert, M., Finley, S. J., Visoná, S. D., Soni, S., Osculati, A. M. M., & Javan, G. T. (2018) · Gene · doi:10.1016/j.gene.2018.06.090 · Cited by 29 · see citing works

Discovery of novel hepatocyte eQTLs in African Americans

Zhong, Y., De, T., Alarcón, C., Park, C. S., Lec, B., & Perera, M. A. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008662 · Cited by 28 · see citing works

Early postmortem interval estimation based on Cdc25b mRNA in rat cardiac tissue

Tao, L., Ma, J., Han, L., Xu, H., Zeng, Y. J., Yehui, L., Li, W., Ma, K., Xiao, B., & Chen, L. (2018) · Legal Medicine · doi:10.1016/j.legalmed.2018.09.004 · Cited by 25 · see citing works

Human Borna disease virus 1 encephalitis shows marked pro-inflammatory biomarker and tissue immunoactivation during the course of disease

Rauch, J., Steffen, J. F., Muntau, B., Gisbrecht, J., Pörtner, K., Herden, C., Niller, H. H., Bauswein, M., Rubbenstroth, D., Mehlhoop, U., et al. (2022) · Emerging Microbes & Infections · doi:10.1080/22221751.2022.2098831 · Cited by 25 · see citing works

Histologic and Quality Assessment of Genotype-Tissue Expression (GTEx) Research Samples: A Large Postmortem Tissue Collection

Sobin, L. H., Barcus, M. E., Branton, P. A., Engel, K. B., Keen, J., Tabor, D. E., Ardlie, K., Greytak, S. R., Roche, N., Luke, B. T., et al. (2024) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2023-0467-oa · Cited by 23 · see citing works

Postmortem Interval Leads to Loss of Disease-Specific Signatures in Brain Tissue

Olney, K. C., Gibson, K. A., Cadiz, M. P., Rahimzadeh, N., Swarup, V., & Fryer, J. D. (2025) · eneuro · doi:10.1523/eneuro.0505-24.2025 · Cited by 22 · see citing works

Large-scale assessment of pros and cons of autopsy-derived or tumor-matched tissues as the norms for gene expression analysis in cancers

Sorokin, M., Buzdin, A. A., Guryanova, A., Efimov, V., Suntsova, M., Zolotovskaia, M., Koroleva, E. V., Sekacheva, M. I., Tkachev, V. S., Garazha, A., et al. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.07.040 · Cited by 22 · see citing works

Transcriptome analysis discloses dysregulated genes in normal appearing tumor-adjacent thyroid tissues from patients with papillary thyroid carcinoma

He, H., Liyanarachchi, S., Li, W., Comiskey, D. F., Yan, P. S., Bundschuh, R. A., Turkoglu, A. M., Brock, P. L., Ringel, M. D., & de la Chapelle, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-93526-9 · Cited by 19 · see citing works

The effects of postmortem delay on mouse and human microglia gene expression

Heng, Y., Dubbelaar, M. L., Marie, S. K. N., Boddeke, E., & Eggen, B. J. L. (2020) · Glia · doi:10.1002/glia.23948 · Cited by 18 · see citing works

Dysregulation of miR-381-3p and miR-23b-3p in skeletal muscle could be a possible estimator of early post-mortem interval in rats

Martínez-Rivera, V., Cárdenas-Monroy, C. A., Millán-Catalán, O., González-Corona, J. M., Huerta-Pacheco, N. S., Martínez-Gutiérrez, A. D., Villavicencio‐Queijeiro, A., Pedraza‐Lara, C., Hidalgo‐Miranda, A., Gómez, M. E. B., et al. (2021) · PeerJ · doi:10.7717/peerj.11102 · Cited by 18 · see citing works

Investigation of molecular biomarkers as potential indicators of health in wild belugas (Delphinapterus leucas)

Ünal, E., Goertz, C. E. C., Hobbs, R. C., SUYDAM, R. S., & Romano, T. A. (2018) · Marine Biology · doi:10.1007/s00227-018-3439-3 · Cited by 17 · see citing works

Upregulation of Lysyl Oxidase Expression in Vitreous of Diabetic Subjects: Implications for Diabetic Retinopathy

Subramanian, M. L., Stein, T. D., Siegel, N. H., Ness, S. D., Fiorello, M. G., Kim, D., & Roy, S. (2019) · Cells · doi:10.3390/cells8101122 · Cited by 17 · see citing works

Problems of establishing the prescription of death

Индиаминов, С. И., Zhumanov, Z. E., & Blinova, S. A. (2020) · Forensic Medical Expertise · doi:10.17116/sudmed20206306145 · Cited by 16 · see citing works

On the cross-population generalizability of gene expression prediction modelsPreprint

Keys, K. L., Mak, A. C. Y., White, M. J., Eckalbar, W. L., Dahl, A., Mefford, J., Mikhaylova, A. V., Contreras, M. G., Elhawary, J. R., Eng, C. S., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/552042 · Cited by 16 · see citing works

An evaluation of the objectivity and reproducibility of shear wave elastography in estimating the post-mortem interval: a tissue biomechanical perspective

De‐Giorgio, F., Ciasca, G., D’Amico, R., Trombatore, P., D'Angelo, A. R., Rinaldi, P., Milano, F., Locci, E., Spirito, M. D., d’Aloja, E., et al. (2020) · International Journal of Legal Medicine · doi:10.1007/s00414-020-02370-5 · Cited by 15 · see citing works

Insights into how environment shapes post-mortem RNA transcription in mouse brain

Bonadio, R. S., Nunes, L. B., Moretti, P. N. S., Mazzeu, J. F., Cagnin, S., Pic‐Taylor, A., & de Oliveira, S. F. (2021) · Scientific Reports · doi:10.1038/s41598-021-92268-y · Cited by 15 · see citing works

Profiling the unique protective properties of intracranial arterial endothelial cells

Hermkens, D. M. A., Stam, O. C. G., de Wit, N. M., Fontijn, R. D., Jongejan, A., Moerland, P. D., Mackaaij, C., Waas, I. S. E., Daemen, M. J. A. P., & de Vries, H. E. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0805-4 · Cited by 15 · see citing works

Analysis of human brain tissue derived from DBS surgery

Kangas, S. M., Teppo, J., Lahtinen, M., Suoranta, A., Ghimire, B. R., Mattila, P., Uusimaa, J., Varjosalo, M. T., Katisko, J., & Hinttala, R. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00297-y · Cited by 14 · see citing works

Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain

De‐Giorgio, F., Ciasca, G., Fecondo, G., Mazzini, A., Santo, R. D., Spirito, M. D., & Pascali, V. L. (2022) · International Journal of Legal Medicine · doi:10.1007/s00414-022-02801-5 · Cited by 13 · see citing works

Estimation of postmortem interval using top-down HPLC–MS analysis of peptide fragments in vitreous humour: A pilot study

Boroumand, M., Grassi, V. M., Castagnola, F., De‐Giorgio, F., d’Aloja, E., Vetrugno, G., Pascali, V. L., Vincenzoni, F., Iavarone, F., Faa, G., et al. (2022) · International Journal of Mass Spectrometry · doi:10.1016/j.ijms.2022.116952 · Cited by 13 · see citing works

Complexity of human death: its physiological, transcriptomic, and microbiological implications

Javan, G. T., Singh, K., Finley, S. J., Green, R. L., & Sen, C. K. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1345633 · Cited by 13 · see citing works

Cell survival and DNA damage repair are promoted in the human blood thanatotranscriptome shortly after death

Antiga, L. G., Sibbens, L., Abakkouy, Y., Decorte, R., Bogaert, W. V. D., de Voorde, W. V., & Bekaert, B. (2021) · Scientific Reports · doi:10.1038/s41598-021-96095-z · Cited by 12 · see citing works

Signature transcriptome analysis of stage specific atherosclerotic plaques of patients

Verma, S., Kumar, A., Narang, R., Bisoi, A. K., & Mitra, D. K. (2022) · BMC Medical Genomics · doi:10.1186/s12920-022-01250-8 · Cited by 12 · see citing works

Systems analysis of dilated cardiomyopathy in the next generation sequencing era

Harakalova, M., & Asselbergs, F. (2018) · Wiley Interdisciplinary Reviews: Systems Biology and Medicine · doi:10.1002/wsbm.1419 · Cited by 11 · see citing works

Comprehensive transcriptomic analysis indicates brain regional specific alterations in type 2 diabetes

Zhou, Z. C., Zhu, Y., Liu, Y., & Yin, Y. (2019) · Aging · doi:10.18632/aging.102196 · Cited by 11 · see citing works

Simultaneous Isolation of High-Quality RNA and DNA From Postmortem Human Central Nervous System Tissues for Omics Studies

Grima, N., Henden, L., Watson, O. T., Blair, I. P., & Williams, K. L. (2021) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlab129 · Cited by 11 · see citing works

Detection of H3K4me3 Identifies NeuroHIV Signatures, Genomic Effects of Methamphetamine and Addiction Pathways in Postmortem HIV+ Brain Specimens that Are Not Amenable to Transcriptome Analysis

Basova, L. V., Lindsey, A., McGovern, A. M., Ellis, R. J., & Marcondes, M. C. G. (2021) · Viruses · doi:10.3390/v13040544 · Cited by 10 · see citing works

Are pre-analytical factors fully considered in forensic FFPE molecular analyses? A systematic review reveals the need for standardised procedures

Previderé, C., Bonin, S., Cuttaia, C., Argentiero, G., Livieri, T., Cecchetto, G., Oliva, A., & Fattorini, P. (2025) · International Journal of Legal Medicine · doi:10.1007/s00414-025-03480-8 · Cited by 9 · see citing works

Cell type transcriptomic modules reveal shared molecular mechanisms in Alzheimer’s and Parkinson’s disease

Bhattacharya, A., Fon, E. A., Dagher, A., Iturria‐Medina, Y., Stratton, J. A., Savignac, C., Stanley, J., Hodgson, L. M., Hammou, B. A., Bennett, D. A. A., et al. (2026) · GigaScience · doi:10.1093/gigascience/giag059 · Cited by 9 · see citing works

Caspase 9 and Caspase 3 Immunohistochemical Pattern in Skeletal and Cardiac Muscles at Different Times after Death: An Experimental Study on PMI Estimation

Mondello, C., Stassi, C., Minutoli, L., Baldino, G., Alibrandi, A., Spatola, G. F., Uzzo, M. L., Micali, A. G., Puzzolo, D., Asmundo, A., et al. (2021) · Diagnostics · doi:10.3390/diagnostics11061062 · Cited by 9 · see citing works

Interpretation of molecular autopsy findings in 45 sudden unexplained death cases: from coding region to untranslated region

Wang, S., Du, J., Shen, Q., Haas, C., & Neubauer, J. (2024) · International Journal of Legal Medicine · doi:10.1007/s00414-024-03329-6 · Cited by 8 · see citing works

Unravelling time after death: A comprehensive review of multi-omics approaches in postmortem interval estimation

Zar, M. S., Bibi, A., & Akhtar, M. S. (2025) · Forensic Science International · doi:10.1016/j.forsciint.2025.112779 · Cited by 8 · see citing works

CIRCUST: A novel methodology for temporal order reconstruction of molecular rhythms; validation and application towards a daily rhythm gene expression atlas in humans

Larriba, Y., Mason, I. C., Saxena, R., Scheer, F. A. J. L., & Rueda, C. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011510 · Cited by 8 · see citing works

Evaluation of RNA quality and functional transcriptome of beef longissimus thoracis over time post-mortem

Lam, S., Kommadath, A., López-Campos, Ó., Prieto, N., Aalhus, J. L., Juarez, M. M., Dugan, M. E. R., & Vahmani, P. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251868 · Cited by 8 · see citing works

Mouse and human microglial phenotypes in Alzheimer’s disease are controlled by amyloid plaque phagocytosis through Hif1α

Grubman, A., Choo, X. Y., Chew, G., Ouyang, J. F., Sun, G., Croft, N. P., Rossello, F. J., Simmons, R., Buckberry, S., Landin, D. V., et al. (2019) · doi:10.1101/639054 · Cited by 7 · see citing works

A Comparative Proteomics Study of Autopsy and Fresh-Frozen Coronary Artery Samples

Yin, X., Beele, A. N., Theofilatos, K., Baig, F., Hasman, M., Schmidt, L. E., Boyle, J. J., Turner, A. W., Miller, C. L., Pasterkamp, G., et al. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00152 · Cited by 7 · see citing works

Stability in question? A preliminary ddPCR-based study on the stability of 14 miRNAs in five forensic body fluids

Li, S., Liu, J., Song, H., Yan, Z., Hui, M., Zhao, M., Cong, B., & Wang, Z. (2025) · Forensic Science International · doi:10.1016/j.forsciint.2025.112683 · Cited by 7 · see citing works

Grave-to-cradle: human embryonic lineage tracing from the postmortem body

Choi, S. H., Ku, E. J., Choi, Y. A., & Oh, J. W. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00912-y · Cited by 7 · see citing works

Single-cell multimodal analysis in a case with reduced penetrance of Progranulin-Frontotemporal Dementia

Natarajan, K., Eisfeldt, J., Hammond, M., Patra, K., Laffita‐Mesa, J. M., Andrade‐Talavera, Y., Birtele, M., Öijerstedt, L., Fisahn, A., Parmar, M., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01234-2 · Cited by 7 · see citing works

A honey bee-associated virus remains infectious and quantifiable in postmortem hosts

Payne, A. N., Prayugo, V., & Dolezal, A. G. (2024) · Journal of Invertebrate Pathology · doi:10.1016/j.jip.2024.108258 · Cited by 6 · see citing works

Spatial Gene Expression of Human Coronary Arteries Revealed the Molecular Features of Diffuse Intimal Thickening in Explanted Hearts

Li, B., Leung, S., Elishaev, M., Cheng, W.-L., Mocci, G., Björkegren, J., Lai, C. K., Singh, A., & Wang, Y. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26051949 · Cited by 5 · see citing works

Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) RNA in the Human Eye

Kamalipour, A., Ashraf, M. A., Moghimi, S., Moattari, A., Ashraf, M. J., Abbasi, F., Azodi, F., Oboudi, S., Pirbonyeh, N., Mokhtaryan, M., et al. (2021) · Ocular Immunology and Inflammation · doi:10.1080/09273948.2021.1980810 · Cited by 5 · see citing works

Research perspectives—Pipelines to human tendon transcriptomics

Ramos‐Mucci, L., Sarmiento, P., Little, D., & Snelling, S. J. B. (2022) · Journal of Orthopaedic Research® · doi:10.1002/jor.25315 · Cited by 5 · see citing works

A pH-eQTL Interaction at the RIT2–SYT4 Parkinson’s Disease Risk Locus in the Substantia Nigra

Patel, S., Howard, D., & French, L. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.690632 · Cited by 4 · see citing works

Altered transcriptomes, cell type proportions, and dendritic spine morphology in hippocampus of suicide decedents

Das, S. C., Schulmann, A., Callor, W. B., Jerominski, L., Panicker, M. M., Christensen, E. D., Bunney, W. E., Williams, M. E., Coon, H. H., & Vawter, M. P. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.144 · Cited by 4 · see citing works

Brain region-specific effects of nearly fixed sapiens-derived alleles

Andirkó, A., & Boeckx, C. A. (2022) · BMC Genomic Data · doi:10.1186/s12863-022-01048-8 · Cited by 4 · see citing works

Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral DrugsPreprint

Renz, A., Hohner, M., Breitenbach, M., Josephs‐Spaulding, J., Dürrwald, J., Best, L., Jami, R., Μαρίνος, Γ., Cabreiro, F., Dräger, A., et al. (2022) · Preprints.org · doi:10.20944/preprints202210.0223.v1 · Cited by 4 · see citing works

Purinergic exposure induces epigenomic and transcriptomic-mediated preconditioning resembling epilepsy-associated microglial states

Martins-Ferreira, R., Calafell-Segura, J., Chaves, J., Ciudad, L., da Silva, A. M., Costa, P., Leal, B., & Ballestar, E. (2024) · iScience · doi:10.1016/j.isci.2024.110546 · Cited by 3 · see citing works

Biochemical methods of estimating time since death

Dubois, L., & Perrault, K. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815731-2.00003-0 · Cited by 3 · see citing works

Postmortem vs. neoplastic gene expression: Clues to cancer development and therapy

Bordonaro, M. (2019) · Medical Hypotheses · doi:10.1016/j.mehy.2019.109381 · Cited by 3 · see citing works

Transcriptomic changes in the large organs in lethal meningococcal shock are reflected in a porcine shock model

Brusletto, B. S., Hellerud, B. C., Olstad, O. K., Øvstebø, R., & Brandtzaeg, P. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.908204 · Cited by 3 · see citing works

Caspase-2 mRNA levels are not elevated in mild cognitive impairment, Alzheimer’s disease, Huntington’s disease, or Lewy Body dementia

Hlynialuk, C. J. W., Kemper, L. J., Leinonen-Wright, K., Petersen, R. C., Ashe, K. H., & Smith, B. R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274784 · Cited by 3 · see citing works

Une mort ou des morts ?

Charlier, P. (2020) · médecine/sciences · doi:10.1051/medsci/2020227 · Cited by 3 · see citing works

Characteristics and dynamics of autolytic microscopic changes in myocardial structures after hanging

Indiaminov, S. I., Zhumanov, Z. E., & Blinova, S. A. (2024) · Russian Journal of Forensic Medicine · doi:10.17816/fm15179 · Cited by 2 · see citing works

Dynamic changes in RNA integrity, gene expression, and tissue pathomorphology of experimental mice in the postmortem period

Buyko, E. E., Александровна, П. Е., Vasilchenko, D. V., Tsydenova, I. A., Khmelevskaya, E. S., Ufandeev, A. A., Kaidash, O. A., Ivanov, V. V., Vtorushin, S. V., & Удут, Е. В. (2025) · Bulletin of Siberian Medicine · doi:10.20538/1682-0363-2024-4-5-14 · Cited by 2 · see citing works

A transcriptome-wise Atlas of human prostate as a function of postmortem interval time

Javan, G. T., Bethea, J., Cecchetto, G., Visoná, S. D., & Singh, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-29561-7 · Cited by 2 · see citing works

Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver

Buyko, E. E., Александровна, П. Е., Sobakin, D. S., Tsyganov, M. M., Vasilchenko, D. V., Vtorushin, S. V., Ufandeev, A. A., Diksas, E. B., Kaidash, O. A., Hmelevskaya, E. S., et al. (2026) · Life · doi:10.3390/life16040683 · Cited by 2 · see citing works

RNA sampling time on postmortem avian carcasses in the wild

Shao, Z., Hou, X., Chen, Y., Lin, Z., & Zhan, X. (2023) · Wildlife Biology · doi:10.1002/wlb3.01157 · Cited by 2 · see citing works

HIV and COVID-19: two pandemics with significant (but different) central nervous system complications

Magaki, S., Zhang, T., Han, K., Hilda, M., Yong, W. H., Achim, C. L., Fishbein, G. A., Fishbein, M. C., Garner, O. B., Salamon, N., et al. (2024) · Free Neuropathology · doi:10.17879/freeneuropathology-2024-5343 · Cited by 2 · see citing works

Time-dependent changes in genome-wide gene expression and post-transcriptional regulation across the post-death process in silkworm

Yang, L.-Y., Tang, D.-R., Luo, S., Li, W., Jiang, Y., Lin, L., & Zhang, Q. (2024) · DNA Research · doi:10.1093/dnares/dsae031 · Cited by 1 · see citing works

Retrospective analysis-based prioritization and degradation pattern characterization of sudden unexplained death susceptibility genes

Shen, Q., Wang, Z., Lin, J., Li, L., Zhang, S., Wang, S., & Li, C. (2025) · International Journal of Legal Medicine · doi:10.1007/s00414-025-03575-2 · Cited by 1 · see citing works

Changes in Porcine Muscle Gene Expression: Influence of Stunning Gases and Postmortem Time Course

Gelhausen, J., Paul, N., Falker‐Gieske, C., Knöll, J., Wilk, I., Mörlein, D., & Tetens, J. (2025) · Meat and Muscle Biology · doi:10.22175/mmb.20356 · Cited by 1 · see citing works

Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression

Ogholbake, A. A., & Cheng, Q. S. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10316-w · Cited by 1 · see citing works

Molecular maps of diseases from omics data and network embeddings

Hu, D., Schaap‐Johansen, A., Villarroel, J., Ekebjærg, C. E., Rasmussen, S., Hansen, D. H., Wernersson, R., & Jensen, L. J. (2026) · npj Systems Biology and Applications · doi:10.1038/s41540-026-00746-8 · Cited by 1 · see citing works

Assessment of lipid profile stability in postmortem samples for the development of intraoperative diagnostic methods

Parochkina, E. V., Румянцева, А. А., Семёнова, Д. К., Bormotov, D. S., Темнов, А. А., Stupnikova, G. S., Zavorotnyuk, D. S., & Бочаров, К. В. (2026) · Bulletin of Russian State Medical University · doi:10.24075/vrgmu.2026.037 · Cited by 1 · see citing works

The effects of death and post-mortem cold ischemia on human tissue transcriptomes

Ferreira, P. G., Muñoz-Aguirre, M., Reverter, F., Godinho, C. D. S., Sousa, A., Amadoz, A., Sodaei, R., Hidalgo, M. R., Pervouchine, D. D., Carbonell‐Caballero, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02772-x · Cited by 300 · see citing works

Successful RNA extraction from various human postmortem tissues

Vennemann, M., Matt, K., Lutz‐Bonengel, S., & Schmidt, U. G. (2006) · International Journal of Legal Medicine · doi:10.1007/s00414-006-0131-9 · Cited by 102 · see citing works

Postmortem interval effect on RNA and gene expression in human brain tissue

Birdsill, A. C., Walker, D. G., Lue, L., Sue, L. I., & Beach, T. G. (2010) · Cell and Tissue Banking · doi:10.1007/s10561-010-9210-8 · Cited by 157 · see citing works

A transcriptome-wise Atlas of human prostate as a function of postmortem interval time

Javan, G. T., Bethea, J., Cecchetto, G., Visoná, S. D., & Singh, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-29561-7 · Cited by 2 · see citing works

การแสดงออกของยน HSP70, GADD45a และ PA2G4 ในเลอดภายหลงการตายของสงมชวตในโมเดลหนทดลองเพอประยกตใชประมาณเวลาหลงตาย

Kaewkhammoon, J., Khacha-ananda, S., & Narakornsok, S. (2024) · Journal of Medicine and Health Sciences