Literature DB >> 33540859

Comparative Analysis Identifies Similarities between the Human and Murine Microglial Sensomes.

Erik R Abels1,2, Lisa Nieland1, Suzanne Hickman3, Marike L D Broekman2,4, Joseph El Khoury3, Sybren L N Maas3,5.   

Abstract

One of the essential functions of microglia is to continuously sense changes in their environment and adapt to those changes. For this purpose, they use a set of genes termed the sensome. This sensome is comprised of the most abundantly expressed receptors on the surface of microglia. In this study, we updated previously identified mouse microglial sensome by incorporating an additional published RNAseq dataset into the data-analysis pipeline. We also identified members of the human microglial sensome using two independent human microglia RNAseq data sources. Using both the mouse and human microglia sensomes, we identified a key set of genes conserved between the mouse and human microglial sensomes as well as some differences between the species. We found a key set of 57 genes to be conserved in both mouse and human microglial sensomes. We define these genes as the "microglia core sensome". We then analyzed expression of genes in this core sensome in five different datasets from two neurodegenerative disease models at various stages of the diseases and found that, overall, changes in the level of expression of microglial sensome genes are specific to the disease or condition studied. Our results highlight the relevance of data generated in mice for understanding the biology of human microglia, but also stress the importance of species-specific gene sets for the investigation of diseases involving microglia. Defining this microglial specific core sensome may help identify pathological changes in microglia in humans and mouse models of human disease.

Entities:  

Keywords:  RNAseq; aging; gene expression; microglia; sensome

Mesh:

Substances:

Year:  2021        PMID: 33540859      PMCID: PMC7867338          DOI: 10.3390/ijms22031495

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  40 in total

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Authors:  Qingyun Li; Ben A Barres
Journal:  Nat Rev Immunol       Date:  2017-11-20       Impact factor: 53.106

2.  TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease.

Authors:  Ana Griciuc; Shaun Patel; Anthony N Federico; Se Hoon Choi; Brendan J Innes; Mary K Oram; Gea Cereghetti; Danielle McGinty; Anthony Anselmo; Ruslan I Sadreyev; Suzanne E Hickman; Joseph El Khoury; Marco Colonna; Rudolph E Tanzi
Journal:  Neuron       Date:  2019-07-10       Impact factor: 17.173

3.  TMEM119 marks a subset of microglia in the human brain.

Authors:  Jun-ichi Satoh; Yoshihiro Kino; Naohiro Asahina; Mika Takitani; Junko Miyoshi; Tsuyoshi Ishida; Yuko Saito
Journal:  Neuropathology       Date:  2015-08-06       Impact factor: 1.906

4.  Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt.

Authors:  Steffen Durinck; Paul T Spellman; Ewan Birney; Wolfgang Huber
Journal:  Nat Protoc       Date:  2009-07-23       Impact factor: 13.491

5.  Human microglia regional heterogeneity and phenotypes determined by multiplexed single-cell mass cytometry.

Authors:  Chotima Böttcher; Stephan Schlickeiser; Marjolein A M Sneeboer; Lot D de Witte; Josef Priller; Desiree Kunkel; Anniki Knop; Evdokia Paza; Pawel Fidzinski; Larissa Kraus; Gijsje J L Snijders; René S Kahn; Axel R Schulz; Henrik E Mei; Elly M Hol; Britta Siegmund; Rainer Glauben; Eike J Spruth
Journal:  Nat Neurosci       Date:  2018-12-17       Impact factor: 24.884

6.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

7.  Gene-Expression Profiling Suggests Impaired Signaling via the Interferon Pathway in Cstb-/- Microglia.

Authors:  Inken Körber; Shintaro Katayama; Elisabet Einarsdottir; Kaarel Krjutškov; Paula Hakala; Juha Kere; Anna-Elina Lehesjoki; Tarja Joensuu
Journal:  PLoS One       Date:  2016-06-29       Impact factor: 3.240

8.  Time-Dependent Changes in Microglia Transcriptional Networks Following Traumatic Brain Injury.

Authors:  Saef Izzy; Qiong Liu; Zhou Fang; Sevda Lule; Limin Wu; Joon Yong Chung; Aliyah Sarro-Schwartz; Alexander Brown-Whalen; Caroline Perner; Suzanne E Hickman; David L Kaplan; Nikolaos A Patsopoulos; Joseph El Khoury; Michael J Whalen
Journal:  Front Cell Neurosci       Date:  2019-08-08       Impact factor: 5.505

9.  Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer's disease.

Authors:  Yingyue Zhou; Wilbur M Song; Prabhakar S Andhey; Amanda Swain; Tyler Levy; Kelly R Miller; Pietro L Poliani; Manuela Cominelli; Shikha Grover; Susan Gilfillan; Marina Cella; Tyler K Ulland; Konstantin Zaitsev; Akinori Miyashita; Takeshi Ikeuchi; Makoto Sainouchi; Akiyoshi Kakita; David A Bennett; Julie A Schneider; Michael R Nichols; Sean A Beausoleil; Jason D Ulrich; David M Holtzman; Maxim N Artyomov; Marco Colonna
Journal:  Nat Med       Date:  2020-01-13       Impact factor: 53.440

Review 10.  Microglial subtypes: diversity within the microglial community.

Authors:  Vassilis Stratoulias; Jose Luis Venero; Marie-Ève Tremblay; Bertrand Joseph
Journal:  EMBO J       Date:  2019-08-02       Impact factor: 11.598

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  3 in total

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Journal:  Cells       Date:  2022-03-22       Impact factor: 7.666

Review 2.  The Neuroimmunology of Multiple Sclerosis: Fictions and Facts.

Authors:  Andrew R Pachner
Journal:  Front Neurol       Date:  2022-02-07       Impact factor: 4.003

3.  Replacement of Mouse Microglia With Human Induced Pluripotent Stem Cell (hiPSC)-Derived Microglia in Mouse Organotypic Slice Cultures.

Authors:  Ari Ogaki; Yuji Ikegaya; Ryuta Koyama
Journal:  Front Cell Neurosci       Date:  2022-07-13       Impact factor: 6.147

  3 in total

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