Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A mutation in the POT1 gene is responsible for cardiac angiosarcoma in TP53-negative Li–Fraumeni-like families

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2015

A mutation in the POT1 gene is responsible for cardiac angiosarcoma in TP53-negative Li–Fraumeni-like families

0 Datasets

0 Files

en
2015
Vol 6 (1)
Vol. 6
DOI: 10.1038/ncomms9383

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Manel Esteller
Manel Esteller

Institution not specified

Verified
Oriol Calvete
Paula Martínez
Pablo García‐Pavía
+22 more

Abstract

Abstract Cardiac angiosarcoma (CAS) is a rare malignant tumour whose genetic basis is unknown. Here we show, by whole-exome sequencing of a TP53 -negative Li–Fraumeni-like (LFL) family including CAS cases, that a missense variant (p.R117C) in POT1 ( protection of telomeres 1 ) gene is responsible for CAS. The same gene alteration is found in two other LFL families with CAS, supporting the causal effect of the identified mutation. We extend the analysis to TP53 -negative LFL families with no CAS and find the same mutation in a breast AS family. The mutation is recently found once in 121,324 studied alleles in ExAC server but it is not described in any other database or found in 1,520 Spanish controls. In silico structural analysis suggests how the mutation disrupts POT1 structure. Functional and in vitro studies demonstrate that carriers of the mutation show reduced telomere-bound POT1 levels, abnormally long telomeres and increased telomere fragility.

How to cite this publication

Oriol Calvete, Paula Martínez, Pablo García‐Pavía, Carlos Benitéz‐Buelga, Beatriz Paumard‐Hernández, María Victoria Fernández, Fernándo Domínguez, Clara Salas, Nuria Romero-Laorden, Jesús García-Donás, Jaime Carrillo, Rosario Perona, Juan Carlos Triviño, Raquel Andrés, Juana María Cano, Bárbara Rivera, Luis Alonso‐Pulpón, Fernando Setién, Manel Esteller, Sandra Rodríguez, Gaëlle Bougeard, T Frebourg, Miguel Urioste, Marı́a A. Blasco, Javier Benı́tez (2015). A mutation in the POT1 gene is responsible for cardiac angiosarcoma in TP53-negative Li–Fraumeni-like families. , 6(1), DOI: https://doi.org/10.1038/ncomms9383.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2015

Authors

25

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/ncomms9383

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access