Literature DB >> 24706869

Cell-type-based model explaining coexpression patterns of genes in the brain.

Pascal Grange1, Jason W Bohland, Benjamin W Okaty, Ken Sugino, Hemant Bokil, Sacha B Nelson, Lydia Ng, Michael Hawrylycz, Partha P Mitra.   

Abstract

Spatial patterns of gene expression in the vertebrate brain are not independent, as pairs of genes can exhibit complex patterns of coexpression. Two genes may be similarly expressed in one region, but differentially expressed in other regions. These correlations have been studied quantitatively, particularly for the Allen Atlas of the adult mouse brain, but their biological meaning remains obscure. We propose a simple model of the coexpression patterns in terms of spatial distributions of underlying cell types and establish its plausibility using independently measured cell-type-specific transcriptomes. The model allows us to predict the spatial distribution of cell types in the mouse brain.

Entities:  

Keywords:  bioinformatics; neuroanatomy; neuroscience

Mesh:

Year:  2014        PMID: 24706869      PMCID: PMC3986204          DOI: 10.1073/pnas.1312098111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

Review 1.  Interneurons of the neocortical inhibitory system.

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Journal:  Nat Rev Neurosci       Date:  2004-10       Impact factor: 34.870

2.  Cell type-specific gene expression of midbrain dopaminergic neurons reveals molecules involved in their vulnerability and protection.

Authors:  Chee Yeun Chung; Hyemyung Seo; Kai Christian Sonntag; Andrew Brooks; Ling Lin; Ole Isacson
Journal:  Hum Mol Genet       Date:  2005-05-11       Impact factor: 6.150

3.  Genome-wide atlas of gene expression in the adult mouse brain.

Authors:  Ed S Lein; Michael J Hawrylycz; Nancy Ao; Mikael Ayres; Amy Bensinger; Amy Bernard; Andrew F Boe; Mark S Boguski; Kevin S Brockway; Emi J Byrnes; Lin Chen; Li Chen; Tsuey-Ming Chen; Mei Chi Chin; Jimmy Chong; Brian E Crook; Aneta Czaplinska; Chinh N Dang; Suvro Datta; Nick R Dee; Aimee L Desaki; Tsega Desta; Ellen Diep; Tim A Dolbeare; Matthew J Donelan; Hong-Wei Dong; Jennifer G Dougherty; Ben J Duncan; Amanda J Ebbert; Gregor Eichele; Lili K Estin; Casey Faber; Benjamin A Facer; Rick Fields; Shanna R Fischer; Tim P Fliss; Cliff Frensley; Sabrina N Gates; Katie J Glattfelder; Kevin R Halverson; Matthew R Hart; John G Hohmann; Maureen P Howell; Darren P Jeung; Rebecca A Johnson; Patrick T Karr; Reena Kawal; Jolene M Kidney; Rachel H Knapik; Chihchau L Kuan; James H Lake; Annabel R Laramee; Kirk D Larsen; Christopher Lau; Tracy A Lemon; Agnes J Liang; Ying Liu; Lon T Luong; Jesse Michaels; Judith J Morgan; Rebecca J Morgan; Marty T Mortrud; Nerick F Mosqueda; Lydia L Ng; Randy Ng; Geralyn J Orta; Caroline C Overly; Tu H Pak; Sheana E Parry; Sayan D Pathak; Owen C Pearson; Ralph B Puchalski; Zackery L Riley; Hannah R Rockett; Stephen A Rowland; Joshua J Royall; Marcos J Ruiz; Nadia R Sarno; Katherine Schaffnit; Nadiya V Shapovalova; Taz Sivisay; Clifford R Slaughterbeck; Simon C Smith; Kimberly A Smith; Bryan I Smith; Andy J Sodt; Nick N Stewart; Kenda-Ruth Stumpf; Susan M Sunkin; Madhavi Sutram; Angelene Tam; Carey D Teemer; Christina Thaller; Carol L Thompson; Lee R Varnam; Axel Visel; Ray M Whitlock; Paul E Wohnoutka; Crissa K Wolkey; Victoria Y Wong; Matthew Wood; Murat B Yaylaoglu; Rob C Young; Brian L Youngstrom; Xu Feng Yuan; Bin Zhang; Theresa A Zwingman; Allan R Jones
Journal:  Nature       Date:  2006-12-06       Impact factor: 49.962

4.  Neuroinformatics for genome-wide 3D gene expression mapping in the mouse brain.

Authors:  Lydia Ng; Sayan Pathak; Chihchau Kuan; Chris Lau; Hong-Wei Dong; Andrew Sodt; Chinh Dang; Brian Avants; Paul Yushkevich; James Gee; David Haynor; Ed Lein; Allan Jones; Mike Hawrylycz
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2007 Jul-Sep       Impact factor: 3.710

5.  Multi-scale correlation structure of gene expression in the brain.

Authors:  Mike Hawrylycz; Lydia Ng; Damon Page; John Morris; Chris Lau; Sky Faber; Vance Faber; Susan Sunkin; Vilas Menon; Ed Lein; Allan Jones
Journal:  Neural Netw       Date:  2011-06-25

6.  Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo.

Authors:  Paola Arlotta; Bradley J Molyneaux; Jinhui Chen; Jun Inoue; Ryo Kominami; Jeffrey D Macklis
Journal:  Neuron       Date:  2005-01-20       Impact factor: 17.173

7.  A quantitative comparison of cell-type-specific microarray gene expression profiling methods in the mouse brain.

Authors:  Benjamin W Okaty; Ken Sugino; Sacha B Nelson
Journal:  PLoS One       Date:  2011-01-27       Impact factor: 3.240

8.  The brain atlas concordance problem: quantitative comparison of anatomical parcellations.

Authors:  Jason W Bohland; Hemant Bokil; Cara B Allen; Partha P Mitra
Journal:  PLoS One       Date:  2009-09-29       Impact factor: 3.240

9.  Reactome: a knowledge base of biologic pathways and processes.

Authors:  Imre Vastrik; Peter D'Eustachio; Esther Schmidt; Geeta Joshi-Tope; Gopal Gopinath; David Croft; Bernard de Bono; Marc Gillespie; Bijay Jassal; Suzanna Lewis; Lisa Matthews; Guanming Wu; Ewan Birney; Lincoln Stein
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  Co-expression profiling of autism genes in the mouse brain.

Authors:  Idan Menashe; Pascal Grange; Eric C Larsen; Sharmila Banerjee-Basu; Partha P Mitra
Journal:  PLoS Comput Biol       Date:  2013-07-25       Impact factor: 4.475

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  34 in total

1.  High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin.

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Journal:  Nat Biotechnol       Date:  2015-04-13       Impact factor: 54.908

2.  Intra- and interregional coregulation of opioid genes: broken symmetry in spinal circuits.

Authors:  Olga Kononenko; Vladimir Galatenko; Malin Andersson; Igor Bazov; Hiroyuki Watanabe; Xing Wu Zhou; Anna Iatsyshyna; Irina Mityakina; Tatiana Yakovleva; Daniil Sarkisyan; Igor Ponomarev; Oleg Krishtal; Niklas Marklund; Alex Tonevitsky; DeAnna L Adkins; Georgy Bakalkin
Journal:  FASEB J       Date:  2017-01-25       Impact factor: 5.191

Review 3.  Designing tools for assumption-proof brain mapping.

Authors:  Adam H Marblestone; Edward S Boyden
Journal:  Neuron       Date:  2014-09-17       Impact factor: 17.173

Review 4.  Extending the amygdala in theories of threat processing.

Authors:  Andrew S Fox; Jonathan A Oler; Do P M Tromp; Julie L Fudge; Ned H Kalin
Journal:  Trends Neurosci       Date:  2015-04-04       Impact factor: 13.837

Review 5.  The circuit architecture of whole brains at the mesoscopic scale.

Authors:  Partha P Mitra
Journal:  Neuron       Date:  2014-09-17       Impact factor: 17.173

6.  Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex.

Authors:  Sepideh Babaei; Ahmed Mahfouz; Marc Hulsman; Boudewijn P F Lelieveldt; Jeroen de Ridder; Marcel Reinders
Journal:  PLoS Comput Biol       Date:  2015-05-12       Impact factor: 4.475

7.  LinkRbrain: multi-scale data integrator of the brain.

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Journal:  J Neurosci Methods       Date:  2014-12-18       Impact factor: 2.390

Review 8.  Modeling Alzheimer's disease with human induced pluripotent stem (iPS) cells.

Authors:  Alison E Mungenast; Sandra Siegert; Li-Huei Tsai
Journal:  Mol Cell Neurosci       Date:  2015-12-04       Impact factor: 4.314

9.  Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.

Authors:  Yujie Li; Heng Huang; Hanbo Chen; Tianming Liu
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2018-08-07       Impact factor: 3.710

10.  Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons.

Authors:  Mariano I Gabitto; Ari Pakman; Jay B Bikoff; L F Abbott; Thomas M Jessell; Liam Paninski
Journal:  Cell       Date:  2016-03-03       Impact factor: 41.582

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