Multi-omic analysis of allelic expression patterns of imprinted and non-imprinted genes in cancer and their association with drug response

被引：0
|
作者：
Krushkal, Julia
Jensen, Travis L.
Wright, George
Zhao, Yingdong
机构：
来源：
CANCER RESEARCH | 2024年 / 84卷 / 06期
关键词：
D O I：
10.1158/1538-7445.AM2024-862
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
862
引用
收藏
页数：2
相关论文
共 22 条
  • [1] Expression patterns of the novel imprinted genes Nap1l5 and Peg13 and their non-imprinted host genes in the adult mouse brain
    Davies, W
    Smith, RJ
    Kelsey, G
    Wilkinson, LS
    GENE EXPRESSION PATTERNS, 2004, 4 (06) : 741 - 747
  • [2] ZFP57 maintains the parent-of-origin-specific expression of the imprinted genes and differentially affects non-imprinted targets in mouse embryonic stem cells
    Riso, Vincenzo
    Cammisa, Marco
    Kukreja, Harpreet
    Anvar, Zahra
    Verde, Gaetano
    Sparago, Angela
    Acurzio, Basilia
    Lad, Shraddha
    Lonardo, Enza
    Sankar, Aditya
    Helin, Kristian
    Feil, Robert
    Fico, Annalisa
    Angelini, Claudia
    Grimaldi, Giovanna
    Riccio, Andrea
    NUCLEIC ACIDS RESEARCH, 2016, 44 (17) : 8165 - 8178
  • [3] Multi-omic analysis of human kidney tissue identified medulla-specific gene expression patterns
    Haug, Stefan
    Muthusamy, Selvaraj
    Li, Yong
    Stewart, Galen
    Li, Xianwu
    Treppner, Martin
    Koettgen, Anna
    Akilesh, Shreeram
    KIDNEY INTERNATIONAL, 2024, 105 (02) : 293 - 311
  • [4] Multi-omic dissection of immunotherapy response groups in non-small cell lung cancer (NSCLC)
    Kulasinghe, Arutha
    Monkman, James
    Kim, Honesty
    Mayer, Aaron
    Mehdi, Ahmed
    Matigian, Nicholas
    Cumberbatch, Marie
    Bhagat, Milan
    Ladwa, Rahul
    Mueller, Scott
    Adams, Mark
    O'Byrne, Ken
    CANCER RESEARCH, 2022, 82 (12)
  • [5] Multi-omic and spatial dissection of immunotherapy response groups in non-small cell lung cancer
    Monkman, James
    Kim, Honesty
    Mayer, Aaron
    Mehdi, Ahmed
    Matigian, Nicholas
    Cumberbatch, Marie
    Bhagat, Milan
    Ladwa, Rahul
    Mueller, Scott N.
    Adams, Mark N.
    O'Byrne, Ken
    Kulasinghe, Arutha
    IMMUNOLOGY, 2023, 169 (04) : 487 - 502
  • [6] Multi-omic analysis identifies metabolic biomarkers for the early detection of breast cancer and therapeutic response prediction
    Song, Huajie
    Tang, Xiaowei
    Liu, Miao
    Wang, Guangxi
    Yuan, Yuyao
    Pang, Ruifang
    Wang, Chenyi
    Zhou, Juntuo
    Yang, Yang
    Zhang, Mengmeng
    Jin, Yan
    Jiang, Kewei
    Wang, Shu
    Yin, Yuxin
    ISCIENCE, 2024, 27 (09)
  • [7] Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance
    Huang, Dan
    Wang, Xiansong
    Liu, Yingzhi
    Huang, Ziheng
    Hu, Xiaoxu
    Hu, Wei
    Li, Qing
    Chan, Hung
    Zou, Yidan
    Ho, Idy H. T.
    Wang, Yan
    Cheng, Alfred S. L.
    Kang, Wei
    To, Ka F.
    Wang, Maggie H. T.
    Wong, Sunny H.
    Yu, Jun
    Gin, Tony
    Zhang, Qingpeng
    Li, Zheng
    Shen, Jianxiong
    Zhang, Lin
    Chan, Matthew T., V
    Liu, Xiaodong
    Wu, William K. K.
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (05)
  • [8] Multi-omic and spatial dissection of immunotherapy response groups in non-small cell lung cancer (NSCLC).
    O'Byrne, Kenneth John
    Monkman, James
    Kim, Honesty
    Cumberbatch, Marie
    Bhagat, Milan
    Ladwa, Rahul
    Adams, Mark N.
    Kulasinghe, Arutha
    JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (16)
  • [9] BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes
    Paolo Martini
    Gabriele Sales
    Linda Diamante
    Valentina Perrera
    Chiara Colantuono
    Sara Riccardo
    Davide Cacchiarelli
    Chiara Romualdi
    Graziano Martello
    Communications Biology, 5
  • [10] BrewerIX enables allelic expression analysis of imprinted and X-linked genes from bulk and single-cell transcriptomes
    Martini, Paolo
    Sales, Gabriele
    Diamante, Linda
    Perrera, Valentina
    Colantuono, Chiara
    Riccardo, Sara
    Cacchiarelli, Davide
    Romualdi, Chiara
    Martello, Graziano
    COMMUNICATIONS BIOLOGY, 2022, 5 (01)
123