The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Human housekeeping genes are compact
Abstract
Abstract We identify a set of 575 human genes that are expressed in all conditions tested in a publicly available database of microarray results. Based on this common occurrence, the set is expected to be rich in ‘housekeeping' genes, showing constitutive expression in all tissues. We compare selected aspects of their genomic structure with a set of background genes. We find that the introns, untranslated regions and coding sequences of the housekeeping genes are shorter, indicating a selection for compactness in these genes.
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.
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
Ucker, D. S., & Yamamoto, K. R. (1984) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)42806-7 · Cited by 190
Cited by
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P. (2005) · Science · doi:10.1126/science.1121158 · Cited by 1,484
Yanai, I., Benjamin, H., Shmoish, M., Chalifa-Caspi, V., Shklar, M., Ophir, R., Bar-Even, A., Horn-Saban, S., Safran, M., Domany, E., et al. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti042 · Cited by 1,300
Li, G., Ruan, X., Auerbach, R. K., Sandhu, K. S., Zheng, M., Wang, P., Poh, H. M., Goh, Y., Lim, J., Zhang, J., et al. (2012) · Cell · doi:10.1016/j.cell.2011.12.014 · Cited by 1,232
Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
Islam, S., Kjällquist, U., Moliner, A., Zajac, P., Fan, J.-B., Lönnerberg, P., & Linnarsson, S. (2011) · Genome Research · doi:10.1101/gr.110882.110 · Cited by 949
Genomic encoding of transcriptional burst kinetics
Larsson, A. J. M., Johnsson, P., Hagemann-Jensen, M., Hartmanis, L., Faridani, O. R., Reinius, B., Segerstolpe, Å., Rivera, C. M., Ren, B., & Sandberg, R. (2019) · Nature · doi:10.1038/s41586-018-0836-1 · Cited by 534
Using control genes to correct for unwanted variation in microarray data
Gagnon-Bartsch, J. A., & Speed, T. P. (2012) · Biostatistics · doi:10.1093/biostatistics/kxr034 · Cited by 442
Amit, M., Donyo, M., Hollander, D., Goren, A., Kim, E., Gelfman, S., Lev-Maor, G., Burstein, D., Schwartz, S., Postolsky, B., et al. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.03.013 · Cited by 338
D'Amelio, P., Grimaldi, A., Di Bella, S., Brianza, S. Z. M., Cristofaro, M. A., Tamone, C., Giribaldi, G., Ulliers, D., Pescarmona, G. P., & Isaia, G. (2008) · Bone · doi:10.1016/j.bone.2008.02.017 · Cited by 331
The biology of intron gain and loss
Jeffares, D. C., Mourier, T., & Penny, D. (2006) · Trends in Genetics · doi:10.1016/j.tig.2005.10.006 · Cited by 296
tRNA over-expression in breast cancer and functional consequences
Pavon-Eternod, M., Gomes, S., Geslain, R., Dai, Q., Rosner, M. R., & Pan, T. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp787 · Cited by 296
Gene Expression Intensity Shapes Evolutionary Rates of the Proteins Encoded by the Vertebrate Genome
Subramanian, S., & Kumar, S. (2004) · Genetics · doi:10.1534/genetics.104.028944 · Cited by 250
A core microbiome signature as an indicator of health
Wu, G., Xu, T., Zhao, N., Lam, Y. Y., Ding, X., Wei, D., Fan, J., Shi, Y., Li, X., Li, M., et al. (2024) · Cell · doi:10.1016/j.cell.2024.09.019 · Cited by 250
Clusters of co-expressed genes in mammalian genomes are conserved by natural selection
Singer, G. A. C., Lloyd, A. T., Huminiecki, L. B., & Wolfe, K. H. (2005) · Molecular Biology and Evolution · doi:10.1093/molbev/msi062 · Cited by 164
Definition, conservation and epigenetics of housekeeping and tissue-enriched genes
She, X., Rohl, C. A., Castle, J. C., Kulkarni, A. V., Johnson, J. M., & Chen, R. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-269 · Cited by 173
Huntingtin-deficient zebrafish exhibit defects in iron utilization and development
Lumsden, A. L., Henshall, T. L., Dayan, S., Lardelli, M. T., & Richards, R. I. (2007) · Human Molecular Genetics · doi:10.1093/hmg/ddm138 · Cited by 156
Mitochondrial fusion is essential for steroid biosynthesis
Duarte, A., Poderoso, C., Cooke, M., Soria, G., Cornejo Maciel, F., Gottifredi, V., & Podestá, E. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045829 · Cited by 149
Predictability of human differential gene expression
Crow, M., Lim, N., Ballouz, S., Pavlidis, P., & Gillis, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802973116 · Cited by 117
Batch effect correction for genome-wide methylation data with Illumina Infinium platform
Sun, Z., Chai, H. S., Wu, Y., White, W. M., Donkena, K. V., Klein, C. J., Garovic, V. D., Therneau, T. M., & Kocher, J.-P. A. (2011) · BMC Medical Genomics · doi:10.1186/1755-8794-4-84 · Cited by 108
Evaluating stably expressed genes in single cells
Lin, Y., Ghazanfar, S., Strbenac, D., Wang, A., Patrick, E., Lin, D. M., Speed, T., Yang, J. Y. H., & Yang, P. (2019) · GigaScience · doi:10.1093/gigascience/giz106 · Cited by 84
Ziats, M. N., & Rennert, O. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024691 · Cited by 75
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
DeTomaso, D., & Yosef, N. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1176-5 · Cited by 58
Ganapathi, M., Srivastava, P., Sutar, S. K. D., Kumar, K., Dasgupta, D., Pal Singh, G., Brahmachari, V., & Brahmachari, S. K. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-126 · Cited by 66
Vijayvargia, R., Mann, K., Weiss, H. R., Pownall, H. J., & Ruan, H. (2010) · Obesity · doi:10.1038/oby.2009.501 · Cited by 25
Intron size minimisation in teleosts
Jakt, L. M., Dubin, A., & Johansen, S. D. (2022) · BMC Genomics · doi:10.1186/s12864-022-08760-w · Cited by 17
Metadata
- Authors
- Eisenberg, E., & Levanon, E. Y.
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 19
- Issue
- 7
- Pages
- 362-365
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W2008083733
- Cited by
- 698
- References
- 1
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
