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Cited by 452

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Induction of the TRPM-2 gene in cells undergoing programmed death.

Open access
Buttyan, R, Olsson, C A, Pintar, J, Chang, C, Bandyk, M, Ng, P Y, Sawczuk, I S·1989·Molecular and Cellular Biology

Abstract

RNA and protein products encoded by the testosterone-repressed prostate message-2 gene (TRPM-2) are induced to high levels, coordinate with the onset of cell death, in numerous rodent models of inducible tissue damage. These models include cell death initiated by hormonal stimuli (prostate regression), pressure insult (renal atrophy after ureteral obstruction), developmental stimuli (necrosis of interdigital tissue), and cytotoxic injury (chemotherapeutic regression of a tumor). Sequence analysis of cDNA encoding TRPM-2 revealed its close homology with a product referred to as SGP-2 or clusterin expressed constitutively by Sertoli cells; however, the immunologically related polypeptides expressed in regressing tissues differ in molecular mass from the forms secreted by the testis. Although the function(s) of the products encoded by the TRPM-2 gene remains unclear, their presence provides a remarkable and early indicator of programmed cell death in many types of mammalian cells.

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Crossref · 10.1128/mcb.9.8.3473

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Metadata

Authors
Buttyan, R., Olsson, C. A., Pintar, J., Chang, C., Bandyk, M., Ng, P. Y., & Sawczuk, I. S.
Venue
Molecular and Cellular Biology
Published
1989-08
Volume
9
Issue
8
Pages
3473-3481
ISSN
  • 0270-7306 (ISSN-L)
  • 1098-5549
OpenAlex
W2178615409
Cited by
452
References
2
FWCI
13.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Induction of the TRPM-2 gene in cells undergoing programmed death. https://app.cochat.ai/papers/10.1128/mcb.9.8.3473
The paper
Buttyan, R., Olsson, C. A., Pintar, J., Chang, C., Bandyk, M., Ng, P. Y., & Sawczuk, I. S. (1989). Induction of the TRPM-2 gene in cells undergoing programmed death. Molecular and Cellular Biology. https://doi.org/10.1128/mcb.9.8.3473

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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.