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Cited by 900

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Transcriptome sequencing to detect gene fusions in cancer

Open access
Maher, Christopher A., Kumar-Sinha, Chandan, Cao, Xuhong, Kalyana-Sundaram, Shanker, Han, Bo, Jing, Xiaojun, Sam, Lee, Barrette, Terrence, Palanisamy, Nallasivam, Chinnaiyan, Arul M.·2009·Nature

Abstract

Recurrent gene fusions, typically associated with haematological malignancies and rare bone and soft-tissue tumours, have recently been described in common solid tumours. Here we use an integrative analysis of high-throughput long- and short-read transcriptome sequencing of cancer cells to discover novel gene fusions. As a proof of concept, we successfully used integrative transcriptome sequencing to ‘re-discover’ the BCR–ABL1 (ref. 10) gene fusion in a chronic myelogenous leukaemia cell line and the TMPRSS2–ERG gene fusion in a prostate cancer cell line and tissues. Additionally, we nominated, and experimentally validated, novel gene fusions resulting in chimaeric transcripts in cancer cell lines and tumours. Taken together, this study establishes a robust pipeline for the discovery of novel gene chimaeras using high-throughput sequencing, opening up an important class of cancer-related mutations for comprehensive characterization.

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Crossref · 10.1038/nature07638

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Metadata

Authors
Maher, C. A., Kumar-Sinha, C., Cao, X., Kalyana-Sundaram, S., Han, B., Jing, X., Sam, L., Barrette, T., Palanisamy, N., & Chinnaiyan, A. M.
Venue
Nature
Published
2009-01-11
Volume
458
Issue
7234
Pages
97-101
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2064469303
Cited by
900
References
8
FWCI
29.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Transcriptome sequencing to detect gene fusions in cancer. https://app.cochat.ai/papers/10.1038/nature07638
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Maher, C. A., Kumar-Sinha, C., Cao, X., Kalyana-Sundaram, S., Han, B., Jing, X., Sam, L., Barrette, T., Palanisamy, N., & Chinnaiyan, A. M. (2009). Transcriptome sequencing to detect gene fusions in cancer. Nature. https://doi.org/10.1038/nature07638

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.