The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Evaluating the comparability of gene expression in blood and brain
Abstract
The availability of an accessible tissue whose gene expression profile is similar to more inaccessible CNS tissues has the potential to advance research in neuropsychiatric disorders. We conducted secondary data analysis of transcriptional profiling of 79 human tissues for 33,698 genes using the Affymetrix U133A microarray augmented with a custom microarray (Affymetrix GNF1H), which were produced by the Genomics Institute of the Novartis Research Foundation (http://symatlas.gnf.org). Our analyses suggested that: (a) on a transcriptome level, whole blood shares significant gene expression similarities with multiple CNS tissues; (b) the median non‐parametric correlation between transcripts present in both whole blood and CNS was around 0.5; (c) this correlation of 0.5 was intermediate relative to all tissues in the Novartis data set—less than for the maximum achievable value of 0.85, less than a set of immune tissues (0.64), comparable to a heterogeneous set of somatic tissues (0.57) but greater than muscle (0.48) and peripheral nervous system tissues (0.36); (d) about half of a set of candidate genes relevant to schizophrenia were expressed in both whole blood and prefrontal cortex; and (e) the expression levels of many classes of biologically relevant processes were not significantly different between whole blood and prefrontal cortex. These analyses suggest that gene expression in whole blood is neither perfectly correlated and useful nor perfectly uncorrelated and useless with gene expression in multiple brain tissues. This suggests that the cautious and thoughtful use of peripheral gene expression may be a useful surrogate for gene expression in the CNS when it has been determined that the relevant gene is expressed in both. © 2006 Wiley‐Liss, Inc.
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Cited by
Smith, A. K., Kilaru, V., Klengel, T., Mercer, K. B., Bradley, B., Conneely, K. N., Ressler, K. J., & Binder, E. B. (2015) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32278 · Cited by 355
Lee, R. S., Tamashiro, K. L. K., Yang, X., Purcell, R. H., Harvey, A., Willour, V. L., Huo, Y., Rongione, M., Wand, G. S., & Potash, J. B. (2010) · Endocrinology · doi:10.1210/en.2010-0225 · Cited by 275
Cattaneo, A., Cattane, N., Begni, V, Pariante, C. M., & Riva, M. A. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.214 · Cited by 244
On the outside, looking in: A review and evaluation of the comparability of blood and brain “‐omes”
Tylee, D. S., Kawaguchi, D. M., & Glatt, S. J. (2013) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32150 · Cited by 243
MicroRNA Expression Aberration as Potential Peripheral Blood Biomarkers for Schizophrenia
Lai, C.-Y., Yu, S.-L., Hsieh, M. H., Chen, C.-H., Chen, H.-Y., Wen, C.-C., Huang, Y.-H., Hsiao, P.-C., Hsiao, C. K., Liu, C.-M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021635 · Cited by 228
Metadata
- Authors
- Sullivan, P. F., Fan, C., & Perou, C. M.
- Venue
- American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
- Publisher
- Wiley
- Published
- 2006-03-27
- Volume
- 141B
- Issue
- 3
- Pages
- 261-268
- ISSN
- 1552-4841 (ISSN-L)
- 1552-485X
- OpenAlex
- W2121247237
- Cited by
- 580
- References
- 33
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- closed
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