The DOI matches its Crossref record.
The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains
Abstract
The chromosomal position of human genes is rapidly being established. We integrated these mapping data with genome-wide messenger RNA expression profiles as provided by SAGE (serial analysis of gene expression). Over 2.45 million SAGE transcript tags, including 160,000 tags of neuroblastomas, are presently known for 12 tissue types. We developed algorithms to assign these tags to UniGene clusters and their chromosomal position. The resulting Human Transcriptome Map generates gene expression profiles for any chromosomal region in 12 normal and pathologic tissue types. The map reveals a clustering of highly expressed genes to specific chromosomal regions. It provides a tool to search for genes that are overexpressed or silenced in cancer.
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
Cited by
A gene atlas of the mouse and human protein-encoding transcriptomes
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K. A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400782101 · Cited by 3,475
Histone deacetylases (HDACs): characterization of the classical HDAC family
RUIJTER, A. J. M. D., GENNIP, A. H. V., CARON, H. N., KEMP, S., & KUILENBURG, A. B. P. V. (2003) · Biochemical Journal · doi:10.1042/bj20021321 · Cited by 3,114
Self-citationSpatial partitioning of the regulatory landscape of the X-inactivation centre
Nora, E. P., Lajoie, B. R., Schulz, E. G., Giorgetti, L., Okamoto, I., Servant, N., Piolot, T., van Berkum, N. L., Meisig, J., Sedat, J., et al. (2012) · Nature · doi:10.1038/nature11049 · Cited by 2,895
A Gene Expression Map of the Arabidopsis Root
Birnbaum, K., Shasha, D. E., Wang, J. Y., Jung, J. W., Lambert, G. M., Galbraith, D. W., & Benfey, P. N. (2003) · Science · doi:10.1126/science.1090022 · Cited by 1,258
Genetic analysis of genome-wide variation in human gene expression
Morley, M., Molony, C. M., Weber, T. M., Devlin, J. L., Ewens, K. G., Spielman, R. S., & Cheung, V. G. (2004) · Nature · doi:10.1038/nature02797 · Cited by 1,207
Metadata
- Authors
- Caron, H., Schaik, B. V., Mee, M. V. D., Baas, F., Riggins, G., Sluis, P. V., Hermus, M.-C., Asperen, R. V., Boon, K., Voûte, P. A., Heisterkamp, S., Kampen, A. V., & Versteeg, R.
- Venue
- Science
- Published
- 2001-02-16
- Volume
- 291
- Issue
- 5507
- Pages
- 1289-1292
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2102999073
- Cited by
- 731
- References
- 0
- FWCI
- 23.56
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains. https://app.cochat.ai/papers/10.1126/science.1056794
- The paper
- Caron, H., Schaik, B. V., Mee, M. V. D., Baas, F., Riggins, G., Sluis, P. V., Hermus, M.-C., Asperen, R. V., Boon, K., Voûte, P. A., Heisterkamp, S., Kampen, A. V., & Versteeg, R. (2001). The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains. Science. https://doi.org/10.1126/science.1056794
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.
