Transcriptome-wide analysis of the differential activation states of retinal microglial cells

被引:0
|
作者
Saddala, Madhu Sudhana [1 ]
Yang, Xu [2 ]
Tang, Shibo [2 ]
Huang, Hu [1 ]
机构
[1] Univ Missouri, Sch Med, Columbia, MO USA
[2] Aier Eye Inst, Ophthalmol, Changsha, Hunan, Peoples R China
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
708
引用
收藏
页数:3
相关论文
共 50 条
  • [31] A transcriptome-wide antitermination mechanism sustaining identity of embryonic stem cells
    Yaroslav A. Kainov
    Eugene V. Makeyev
    Nature Communications, 11
  • [32] Transcriptome-wide noise controls lineage choice in mammalian progenitor cells
    Hannah H. Chang
    Martin Hemberg
    Mauricio Barahona
    Donald E. Ingber
    Sui Huang
    Nature, 2008, 453 : 544 - 547
  • [33] A transcriptome-wide antitermination mechanism sustaining identity of embryonic stem cells
    Kainov, Yaroslav A.
    Makeyev, Eugene, V
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [34] Pan-Genome-Wide Identification and Transcriptome-Wide Analysis of ZIP Genes in Cucumber
    Wang, Zimo
    Yin, Mengmeng
    Han, Jing
    Wang, Xuehua
    Chang, Jingshu
    Ren, Zhonghai
    Wang, Lina
    AGRICULTURE-BASEL, 2024, 14 (01):
  • [35] An Integrated Transcriptome-Wide Analysis of Cave and Surface Dwelling Astyanax mexicanus
    Gross, Joshua B.
    Furterer, Allison
    Carlson, Brian M.
    Stahl, Bethany A.
    PLOS ONE, 2013, 8 (02):
  • [36] Transcriptome-wide analysis of microRNA expression in the malaria mosquito Anopheles gambiae
    Inna Biryukova
    Tao Ye
    Elena Levashina
    BMC Genomics, 15
  • [37] Transcriptome-wide analysis of circRNA and RBP profiles and their molecular relevance for GBM
    Latowska-Lysiak, Julia
    Zarebska, Zaneta
    Sajek, Marcin P.
    Grabowska, Adriana
    Buratin, Alessia
    Glodowicz, Pawel
    Misiorek, Julia O.
    Kuczynski, Konrad
    Bortoluzzi, Stefania
    Zywicki, Marek
    Kosinski, Jan G.
    Rybak-Wolf, Agnieszka
    Piestrzeniewicz, Rafal
    Barciszewska, Anna M.
    Rolle, Katarzyna
    MOLECULAR ONCOLOGY, 2025,
  • [38] A statistical framework for cross-tissue transcriptome-wide association analysis
    Hu, Yiming
    Li, Mo
    Lu, Qiongshi
    Weng, Haoyi
    Wang, Jiawei
    Zekavat, Seyedeh M.
    Yu, Zhaolong
    Li, Boyang
    Gu, Jianlei
    Muchnik, Sydney
    Shi, Yu
    Kunkle, Brian W.
    Mukherjee, Shubhabrata
    Natarajan, Pradeep
    Naj, Adam
    Kuzma, Amanda
    Zhao, Yi
    Crane, Paul K.
    Lu, Hui
    Zhao, Hongyu
    Abner, Erin
    Adams, Perrie M.
    Albert, Marilyn S.
    Albin, Roger L.
    Apostolova, Liana G.
    Arnold, Steven E.
    Asthana, Sanjay
    Atwood, Craig S.
    Baldwin, Clinton T.
    Barber, Robert C.
    Barnes, Lisa L.
    Barral, Sandra
    Beach, Thomas G.
    Becker, James T.
    Beecham, Gary W.
    Beekly, Duane
    Bennett, David A.
    Bigio, Eileen H.
    Bird, Thomas D.
    Blacker, Deborah
    Boeve, Bradley F.
    Bowen, James D.
    Boxer, Adam
    Burke, James R.
    Burns, Jeffrey M.
    Buxbaum, Joseph D.
    Cairns, Nigel J.
    Cantwell, Laura B.
    Cao, Chuanhai
    Carlson, Chris S.
    NATURE GENETICS, 2019, 51 (03) : 568 - +
  • [39] A statistical framework for cross-tissue transcriptome-wide association analysis
    Yiming Hu
    Mo Li
    Qiongshi Lu
    Haoyi Weng
    Jiawei Wang
    Seyedeh M. Zekavat
    Zhaolong Yu
    Boyang Li
    Jianlei Gu
    Sydney Muchnik
    Yu Shi
    Brian W. Kunkle
    Shubhabrata Mukherjee
    Pradeep Natarajan
    Adam Naj
    Amanda Kuzma
    Yi Zhao
    Paul K. Crane
    Hui Lu
    Hongyu Zhao
    Nature Genetics, 2019, 51 : 568 - 576
  • [40] Transcriptome-wide analysis reveals the progress of Cordyceps militaris subculture degeneration
    Yin, Juan
    Xin, Xiangdong
    Weng, Yujie
    Gui, Zhongzheng
    PLOS ONE, 2017, 12 (10):