Comparative transcriptomics in human and mouse

被引:0
|
作者
Alessandra Breschi
Thomas R. Gingeras
Roderic Guigó
机构
[1] Centre for Genomic Regulation (CRG),
[2] The Barcelona Institute of Science and Technology,undefined
[3] Universitat Pompeu Fabra (UPF),undefined
[4] Cold Spring Harbor Laboratory,undefined
来源
Nature Reviews Genetics | 2017年 / 18卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The mouse is the most widely used model organism to study human disease, but often mouse biology cannot be extrapolated to humans. A deep comparison of mouse and human physiology at the molecular level is essential for understanding under which circumstances the mouse can be a suitable model of human biology and for creating better mouse models. Advances in next-generation sequencing technologies fostered genome-wide annotation of functional DNA elements, enabling extensive comparison of the human and mouse genomes.At the transcriptional level, human and mouse gene expression profiles are conserved overall, although the degree of conservation varies depending on the tissues and the genes that are compared. Therefore, the question of whether the human and mouse transcriptomes cluster preferentially by tissue or organ or by species does not have an answer overall, and it depends specifically on the genes being considered.Conservation of expression is not a direct consequence of conservation in regulatory sequences, including promoters and enhancers. Although gene regulatory networks are preserved overall between human and mouse, transcription binding sites are often not conserved.Inter-individual genetic variation can affect human gene expression, but such variation cannot be modelled in inbred strains of laboratory mice because their genetic variation is small compared to the human population. An expansion of the current studies on the relationship between genetic variation and gene expression in outbred mice might provide helpful insights to understand the same relationship in humans.Emerging technologies — such single-cell genomics and single-cell spatial transcriptomics — and time series experiments will improve the annotation of human and mouse genomes, refine the current definitions of homologous cell types and homologous (molecular) phenotypes, and ultimately help scientists to identify which mouse models are the most appropriate to address a given biological question.
引用
收藏
页码:425 / 440
页数:15
相关论文
共 50 条
  • [41] Human and mouse proteases:: A comparative genomic approach
    Puente, XS
    Sánchez, LM
    Overall, CM
    López-Otín, C
    NATURE REVIEWS GENETICS, 2003, 4 (07) : 544 - 558
  • [42] Single-cell transcriptomics reveals shared immunosuppressive landscapes of mouse and human neuroblastoma
    Costa, Ana
    Thirant, Cecile
    Kramdi, Amira
    Pierre-Eugene, Cecile
    Louis-Brennetot, Caroline
    Blanchard, Orphee
    Surdez, Didier
    Gruel, Nadege
    Lapouble, Eve
    Pierron, Gaelle
    Sitbon, Deborah
    Brisse, Herve
    Gauthier, Arnaud
    Freneaux, Paul
    Bohec, Mylene
    Raynal, Virginie
    Baulande, Sylvain
    Leclere, Renaud
    Champenois, Gabriel
    Nicolas, Andre
    Meseure, Didier
    Bellini, Angela
    Marabelle, Aurelien
    Geoerger, Birgit
    Mechta-Grigoriou, Fatima
    Schleiermacher, Gudrun
    Menger, Laurie
    Delattre, Olivier
    Janoueix-Lerosey, Isabelle
    JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2022, 10 (08)
  • [43] TRANSCRIPTOMICS Navigating mouse cell types
    Burgess, Darren J.
    NATURE REVIEWS GENETICS, 2018, 19 (12) : 739 - 739
  • [44] Transcriptomics of the human endometrium
    Diaz-Gimeno, Patricia
    Ruiz-Alonso, Maria
    Blesa, David
    Simon, Carlos
    INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY, 2014, 58 (2-4): : 127 - 137
  • [45] Comparative transcriptomics of cnidarian freshwater parasites
    Chang, E. S.
    Shcheglovitova, M.
    Cartwright, p
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2013, 53 : E33 - E33
  • [46] Revealing developmental networks by comparative transcriptomics
    Hashimshony, Tamar
    Yanai, Itai
    TRANSCRIPTION-AUSTIN, 2010, 1 (03): : 154 - 158
  • [47] Comparative genomics and transcriptomics of Pichia pastoris
    Love, Kerry R.
    Shah, Kartik A.
    Whittaker, Charles A.
    Wu, Jie
    Bartlett, M. Catherine
    Ma, Duanduan
    Leeson, Rachel L.
    Priest, Margaret
    Borowsky, Jonathan
    Young, Sarah K.
    Love, J. Christopher
    BMC GENOMICS, 2016, 17
  • [48] Comparative transcriptomics of Aspergillus fumigatus strains upon exposure to human airway epithelial cells
    Watkins, Tonya N.
    Liu, Hong
    Chung, Matthew
    Hazen, Tracy H.
    Hotopp, Julie C. Dunning
    Filler, Scott G.
    Bruno, Vincent M.
    MICROBIAL GENOMICS, 2018, 4 (02):
  • [49] Comparative transcriptomics of primary cells in vertebrates
    Alam, Tanvir
    Agrawal, Saumya
    Severin, Jessica
    Young, Robert S.
    Andersson, Robin
    Arner, Erik
    Hasegawa, Akira
    Lizio, Marina
    Ramilowski, Jordan A.
    Abugessaisa, Imad
    Ishizu, Yuri
    Noma, Shohei
    Tarui, Hiroshi
    Taylor, Martin S.
    Lassmann, Timo
    Itoh, Masayoshi
    Kasukawa, Takeya
    Kawaji, Hideya
    Marchionni, Luigi
    Sheng, Guojun
    Forrest, Alistair R. R.
    Khachigian, Levon M.
    Hayashizaki, Yoshihide
    Carninci, Piero
    de Hoon, Michiel J. L.
    GENOME RESEARCH, 2020, 30 (07) : 951 - 961
  • [50] Comparative transcriptomics of early dipteran development
    Eva Jiménez-Guri
    Jaime Huerta-Cepas
    Luca Cozzuto
    Karl R Wotton
    Hui Kang
    Heinz Himmelbauer
    Guglielmo Roma
    Toni Gabaldón
    Johannes Jaeger
    BMC Genomics, 14