- Title Information
- Title
- The Atlas of Protein-Protein Interactions in Cancer
- Type of Resource (primo)
- text_resources
- Abstract
- Cancer is a complex disease with heterogenous mutational and gene expression patterns. Analyzing the complex architecture could demonstrate subgroups of patients who share specific networks with a shared phenotype. To achieve this, we analyzed publicly available RNA sequencing (RNA-seq) data from cancer patients across ten different tissue types and identified PPIs specific to 26 distinct cancer subtypes. We developed the Atlas of Protein-Protein Interactions in Cancer (APPIC), a web application that provides visual network diagrams of these interactions. Additionally, APPIC compiles biological and clinical information from various databases, including the Human Protein Atlas, Hugo Gene Nomenclature Committee, g:Profiler, cBioPortal, and CLUE. APPIC uncovers the specific mechanisms that drive different cancer subtypes. By offering insights into these interactions, it aims to support the development of novel targeted therapeutics for each cancer subtype.
- Name
- Name Part
- Benjamin Ahn, BS; Caden Chou; Jennifer Chen; Amelia Zug; Yigit Baykara, MD; Jessica Claus, MD; Charissa Chou, BS; Sean M. Hacking MB, BCh, BAO; Alper Uzun, PhD; Ece D Gamsiz Uzun, PhD
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name:
Corporate
- Name Part
- Brown University. Alpert Medical School. Scholarly Concentration Program. Biomedical Informatics
- Role
- Role Term:
Text
- research program
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00872451")
- Topic
- Computer science
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00845317")
- Topic
- Cancer
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01024734")
- Topic
- Molecular biology
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00871990")
- Topic
- Computational biology
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01079785")
- Topic
- Proteomics
- Language
- Language Term:
Text (ISO639-2B)
- English
- Origin Information
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2023
- Note
(displayLabel="Scholarly concentration")
- Biomedical Informatics
- Access Condition:
use and reproduction
- All rights reserved
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- All Rights Reserved
- Identifier:
DOI
- 10.26300/ys3f-jx13