The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Effect of agonal and postmortem factors on gene expression profile: quality control in microarray analyses of postmortem human brain
Open accessAbstract
There are major concerns that specific agonal conditions, including coma and hypoxia, might affect ribonucleic acid (RNA) integrity in postmortem brain studies. We report that agonal factors significantly affect RNA integrity and have a major impact on gene expression profiles in microarrays. In contrast to agonal factors, gender, age, and postmortem factors have less effect on gene expression profiles. The Average Correlation Index is proposed as a method for evaluating RNA integrity on the basis of similarity of microarray profiles. Reducing the variance due to agonal factors is critical in investigating small but validated gene expression differences in messenger RNA levels between psychiatric patients and control subjects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, very few transcriptomic studies provide information on acute premortem variables or cause of death, which are particularly important as they may potentially have a much larger effect on RNA quality and gene expression71–76,78–80.”
From Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain (2022) · cites this paper as [74]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Summaries of Affymetrix GeneChip probe level data
Irizarry, R. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng015 · Cited by 4,837
Hakak, Y., Walker, J. R., Li, C., Wong, W. H., Davis, K. L., Buxbaum, J. D., Haroutunian, V., & Fienberg, A. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.081071198 · Cited by 1,192
Gene-expression profile of the ageing brain in mice
Lee, C.-K., Weindruch, R., & Prolla, T. A. (2000) · Nature Genetics · doi:10.1038/77046 · Cited by 1,055
Mathur, R. (2004) · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · doi:10.5005/jp/books/10243_6 · Cited by 669
Mirnics, K., Middleton, F. A., Lewis, D. A., & Levitt, P. R. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01862-2 · Cited by 395
The role of mRNA and protein stability in gene expression
Hargrove, J. L., & Schmidt, F. H. (1989) · The FASEB Journal · doi:10.1096/fasebj.3.12.2676679 · Cited by 372
Harrison, P. J., Heath, P. R., Eastwood, S. L., Burnet, P. W. J., McDonald, B., & Pearson, R. C. A. (1995) · Neuroscience Letters · doi:10.1016/0304-3940(95)12102-a · Cited by 342
Tissue pH as an indicator of mRNA preservation in human post-mortem brain
Kingsbury, A. E., Foster, O. J. F., Nisbet, A. P., Cairns, N. J., Bray, L., Eve, D. J., Lees, A. J., & MARSDEN, C. D. (1995) · Molecular Brain Research · doi:10.1016/0169-328x(94)00219-5 · Cited by 320
Pre‐and Postmortem Influences on Brain RNA
BARTON, A. J. L., Pearson, R. C. A., Najlerahim, A., & Harrison, P. J. (1993) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1993.tb03532.x · Cited by 269
Biochemical and molecular studies using human autopsy brain tissue
Hynd, M. R., Lewohl, J. M., Scott, H. L., & Dodd, P. R. (2003) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2003.01747.x · Cited by 238
Cited by
Sorted by citations
Items 101–104 of 104
TaqMan PCR assay in the control of RNA normalization in human post-mortem brain tissue
Barrachina, M., Castaño, E., & Ferrer, I. (2006) · Neurochemistry International · doi:10.1016/j.neuint.2006.01.018 · Cited by 73
Tissue preparation and banking
Webster, M. J. (2006) · Progress in Brain Research · doi:10.1016/s0079-6123(06)58001-x · Cited by 67
Kerman, I. A., Bernard, R., Bunney, W. E., Jones, E. G., Schatzberg, A. F., Myers, R. M., Barchas, J. D., Akil, H., Watson, S. J., & Thompson, R. C. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00135 · Cited by 59
Self-citationIwamoto, K., Ueda, J., Bundo, M., Kojima, T., & Kato, T. (2011) · Neuroscience Research · doi:10.1016/j.neures.2011.02.012 · Cited by 14
Metadata
- Authors
- Tomita, H., Vawter, M. P., Walsh, D. M., Evans, S. J., Choudary, P. V., Li, J., Overman, K. M., Atz, M. E., Myers, R. M., Jones, E. G., Watson, S. J., Akil, H., & Bunney, W. E.
- Affiliations
- University of California, Irvine (US)
- University of Michigan (US)
- University of California, Davis (US)
- Stanford University (US)
- Corresponding author
- Bunney, William E
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2004-02
- Volume
- 55
- Issue
- 4
- Pages
- 346-352
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC3098566
- OpenAlex
- W2134441514
- Cited by
- 331
- References
- 38
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 10 · 2023: 12 · 2022: 8 · 2021: 14 · 2020: 10 · 2019: 6 · 2018: 19 · 2017: 11 · 2016: 13 · 2015: 12 · 2014: 11 · 2013: 17 · 2012: 16
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (P50MH60398, R01MH054844, MH54844, MH 42251, P50MH060398, P01MH042251)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- postmortem brain, gene expression profiles, RNA integrity, microarray quality control, hypoxia, coma, postmortem interval, psychiatric patients
- MeSH terms
- Adult, Aged, Autopsy, Brain Chemistry, Major Depressive Disorder, Humans, Male, Middle Aged, Postmortem Changes, Quality Control, RNA, Statistics as Topic, Time Factors, Reproducibility of Results, Gene Expression, Case-Control Studies, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
