CELL-TYPE SPECIFIC INSIGHTS INTO THE AKIMBA MODEL OF DIABETIC RETINOPATHY USING SINGLE CELL TRANSCRIPTOMICS ANALYSIS

被引:0
|
作者
Porcu, M. [1 ]
Van Hove, I. [1 ]
Hu, T. [1 ]
Beets, K. [1 ]
De Groef, L. [2 ]
Boeckx, B. [3 ,4 ]
Feyen, J. H. M. [1 ]
机构
[1] Oxurion NV, Leuven, Belgium
[2] Katholieke Univ Leuven, Dept Biol, Neural Circuit Dev & Regenerat Unit, Leuven, Belgium
[3] VIB Ctr Canc Biol, Leuven, Belgium
[4] Katholieke Univ Leuven, Dept Human Genet, Translat Genet, Leuven, Belgium
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
引用
收藏
页码:NP20 / NP20
页数:1
相关论文
共 50 条
  • [1] Cell-type specific insights into the pathobiology of advanced diabetic retinopathy using single-cell transcriptome analysis of the Akimba retina
    Van Hove, Inge
    Porcu, Michael
    De Groef, Lies
    Hu, Tjing-Tjing
    Beets, Karen
    Van Bergen, Tine
    Boeckx, Bram
    Lambrechts, Diether
    Moons, Lieve
    Feyen, Jean H. M.
    ACTA OPHTHALMOLOGICA, 2019, 97
  • [2] Single-cell transcriptome analysis of the Akimba mouse retina reveals cell-type-specific insights into the pathobiology of diabetic retinopathy
    Van Hove, Inge
    De Groef, Lies
    Boeckx, Bram
    Modave, Elodie
    Hu, Tjing-Tjing
    Beets, Karen
    Etienne, Isabelle
    Van Bergen, Tine
    Lambrechts, Diether
    Moons, Lieve
    Feyen, Jean H. M.
    Porcu, Michael
    DIABETOLOGIA, 2020, 63 (10) : 2235 - 2248
  • [3] Single-cell transcriptome analysis of the Akimba mouse retina reveals cell-type-specific insights into the pathobiology of diabetic retinopathy
    Inge Van Hove
    Lies De Groef
    Bram Boeckx
    Elodie Modave
    Tjing-Tjing Hu
    Karen Beets
    Isabelle Etienne
    Tine Van Bergen
    Diether Lambrechts
    Lieve Moons
    Jean H. M. Feyen
    Michaël Porcu
    Diabetologia, 2020, 63 : 2235 - 2248
  • [4] Single-cell transcriptomics revealed cell-type specific responses to fungal infection
    Tang, B.
    Ding, P.
    Feng, L.
    Ma, W.
    MOLECULAR PLANT-MICROBE INTERACTIONS, 2024, 37 (05) : 133 - 133
  • [5] Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning
    Deng, Yue
    Bao, Feng
    Dai, Qionghai
    Wu, Lani F.
    Altschuler, Steven J.
    NATURE METHODS, 2019, 16 (04) : 311 - +
  • [6] Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning
    Yue Deng
    Feng Bao
    Qionghai Dai
    Lani F. Wu
    Steven J. Altschuler
    Nature Methods, 2019, 16 : 311 - 314
  • [7] Clinical, cell-type, and architectural characterization of AFX and PDS using single-cell and spatial transcriptomics
    Klein, J. C.
    Hosler, G.
    Hon, G.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2024, 144 (08) : S144 - S144
  • [8] Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data
    Shulman, Eldad David
    Elkon, Ran
    NUCLEIC ACIDS RESEARCH, 2019, 47 (19) : 10027 - 10039
  • [9] Single cell genomics based insights into the impact of cell-type specific microbial internalization on disease severity
    Soni, Jyoti
    Pandey, Rajesh
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [10] CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning
    Seal, Dibyendu Bikash
    Das, Vivek
    De, Rajat K.
    APPLIED INTELLIGENCE, 2023, 53 (02) : 1287 - 1305