1
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Ashuach T, Gabitto MI, Koodli RV, Saldi GA, Jordan MI, Yosef N. MultiVI: deep generative model for the integration of multimodal data. Nat Methods 2023; 20:1222-1231. [PMID: 37386189 PMCID: PMC10406609 DOI: 10.1038/s41592-023-01909-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 05/10/2023] [Indexed: 07/01/2023]
Abstract
Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study cellular diversity. Here we present MultiVI, a probabilistic model to analyze such multiomic data and leverage it to enhance single-modality datasets. MultiVI creates a joint representation that allows an analysis of all modalities included in the multiomic input data, even for cells for which one or more modalities are missing. It is available at scvi-tools.org .
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Affiliation(s)
- Tal Ashuach
- Center for Computational Biology, University of California, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Mariano I Gabitto
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
- Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.
- Allen Institute for Brain Science, Seattle, WA, USA.
| | - Rohan V Koodli
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | | | - Michael I Jordan
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
- Department of Statistics, University of California, Berkeley, Berkeley, CA, USA
| | - Nir Yosef
- Center for Computational Biology, University of California, Berkeley, CA, USA.
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel.
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2
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Gabitto MI, Travaglini KJ, Rachleff VM, Kaplan ES, Long B, Ariza J, Ding Y, Mahoney JT, Dee N, Goldy J, Melief EJ, Brouner K, Campos J, Carr AJ, Casper T, Chakrabarty R, Clark M, Compos J, Cool J, Valera Cuevas NJ, Dalley R, Darvas M, Ding SL, Dolbeare T, Mac Donald CL, Egdorf T, Esposito L, Ferrer R, Gala R, Gary A, Gloe J, Guilford N, Guzman J, Ho W, Jarksy T, Johansen N, Kalmbach BE, Keene LM, Khawand S, Kilgore M, Kirkland A, Kunst M, Lee BR, Malone J, Maltzer Z, Martin N, McCue R, McMillen D, Meyerdierks E, Meyers KP, Mollenkopf T, Montine M, Nolan AL, Nyhus J, Olsen PA, Pacleb M, Pham T, Pom CA, Postupna N, Ruiz A, Schantz AM, Sorensen SA, Staats B, Sullivan M, Sunkin SM, Thompson C, Tieu M, Ting J, Torkelson A, Tran T, Wang MQ, Waters J, Wilson AM, Haynor D, Gatto N, Jayadev S, Mufti S, Ng L, Mukherjee S, Crane PK, Latimer CS, Levi BP, Smith K, Close JL, Miller JA, Hodge RD, Larson EB, Grabowski TJ, Hawrylycz M, Keene CD, Lein ES. Integrated multimodal cell atlas of Alzheimer's disease. Res Sq 2023:rs.3.rs-2921860. [PMID: 37292694 PMCID: PMC10246227 DOI: 10.21203/rs.3.rs-2921860/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive and stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses single cell and spatial genomics tools and knowledge from the BRAIN Initiative Cell Census Network to understand the impact of disease progression on middle temporal gyrus cell types. We used image-based quantitative neuropathology to place 84 donors spanning the spectrum of AD pathology along a continuous disease pseudoprogression score and multiomic technologies to profile single nuclei from each donor, mapping their transcriptomes, epigenomes, and spatial coordinates to a common cell type reference with unprecedented resolution. Temporal analysis of cell-type proportions indicated an early reduction of Somatostatin-expressing neuronal subtypes and a late decrease of supragranular intratelencephalic-projecting excitatory and Parvalbumin-expressing neurons, with increases in disease-associated microglial and astrocytic states. We found complex gene expression differences, ranging from global to cell type-specific effects. These effects showed different temporal patterns indicating diverse cellular perturbations as a function of disease progression. A subset of donors showed a particularly severe cellular and molecular phenotype, which correlated with steeper cognitive decline. We have created a freely available public resource to explore these data and to accelerate progress in AD research at SEA-AD.org.
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Affiliation(s)
| | | | - Victoria M. Rachleff
- Allen Institute for Brain Science, Seattle, WA, 98109
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jeanelle Ariza
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Yi Ding
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Erica J. Melief
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - John Campos
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Tamara Casper
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Michael Clark
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jazmin Compos
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jonah Cool
- Chan Zuckerberg Initiative, Redwood City, CA 94063
| | | | - Rachel Dalley
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Martin Darvas
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tim Dolbeare
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Luke Esposito
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Rohan Gala
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jessica Gloe
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Windy Ho
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tim Jarksy
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Lisa M. Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Sarah Khawand
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Mitch Kilgore
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Amanda Kirkland
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Michael Kunst
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Brian R. Lee
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Naomi Martin
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Rachel McCue
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Kelly P. Meyers
- Kaiser Permanente Washington Research Institute, Seattle, WA, 98101
| | | | - Mark Montine
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Amber L. Nolan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Paul A. Olsen
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Maiya Pacleb
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Thanh Pham
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Nadia Postupna
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Augustin Ruiz
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Aimee M. Schantz
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Brian Staats
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Matt Sullivan
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jonathan Ting
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Amy Torkelson
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tracy Tran
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Angela M. Wilson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - David Haynor
- Department of Radiology, University of Washington, Seattle, WA 98014
| | - Nicole Gatto
- Kaiser Permanente Washington Research Institute, Seattle, WA, 98101
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA 98104
| | - Shoaib Mufti
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, WA 98104
| | - Caitlin S. Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Boaz P. Levi
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | | | | | - Eric B. Larson
- Department of Medicine, University of Washington, Seattle, WA 98104
| | | | | | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Ed S. Lein
- Allen Institute for Brain Science, Seattle, WA, 98109
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3
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Gabitto MI, Marie-Nelly H, Pakman A, Pataki A, Darzacq X, Jordan MI. A Bayesian nonparametric approach to super-resolution single-molecule localization. Ann Appl Stat 2021. [DOI: 10.1214/21-aoas1441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
| | - Herve Marie-Nelly
- Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley
| | - Ari Pakman
- Department of Statistics and Center for Theretical Neuroscience, Columbia University
| | - Andras Pataki
- Center for Computational Biology, Flatiron Institute, Simons Foundation
| | - Xavier Darzacq
- Li Ka Shing Center for Biomedical and Health Sciences, University of California, Berkeley
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4
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Allaway KC, Gabitto MI, Wapinski O, Saldi G, Wang CY, Bandler RC, Wu SJ, Bonneau R, Fishell G. Genetic and epigenetic coordination of cortical interneuron development. Nature 2021; 597:693-697. [PMID: 34552240 DOI: 10.1038/s41586-021-03933-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 08/18/2021] [Indexed: 11/09/2022]
Abstract
One of the hallmarks of the cerebral cortex is the extreme diversity of interneurons1-3. The two largest subtypes of cortical interneurons, parvalbumin- and somatostatin-positive cells, are morphologically and functionally distinct in adulthood but arise from common lineages within the medial ganglionic eminence4-11. This makes them an attractive model for studying the generation of cell diversity. Here we examine how developmental changes in transcription and chromatin structure enable these cells to acquire distinct identities in the mouse cortex. Generic interneuron features are first detected upon cell cycle exit through the opening of chromatin at distal elements. By constructing cell-type-specific gene regulatory networks, we observed that parvalbumin- and somatostatin-positive cells initiate distinct programs upon settling within the cortex. We used these networks to model the differential transcriptional requirement of a shared regulator, Mef2c, and confirmed the accuracy of our predictions through experimental loss-of-function experiments. We therefore reveal how a common molecular program diverges to enable these neuronal subtypes to acquire highly specialized properties by adulthood. Our methods provide a framework for examining the emergence of cellular diversity, as well as for quantifying and predicting the effect of candidate genes on cell-type-specific development.
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Affiliation(s)
- Kathryn C Allaway
- Neuroscience Institute, New York University, New York, NY, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Mariano I Gabitto
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Orly Wapinski
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Giuseppe Saldi
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.,Department of Biology, New York University, New York, NY, USA
| | - Chen-Yu Wang
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Rachel C Bandler
- Neuroscience Institute, New York University, New York, NY, USA.,Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Sherry Jingjing Wu
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Richard Bonneau
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA. .,Department of Biology, New York University, New York, NY, USA. .,Center for Data Science, New York University, New York, NY, USA.
| | - Gord Fishell
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA. .,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
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5
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Rutter L, Barker R, Bezdan D, Cope H, Costes SV, Degoricija L, Fisch KM, Gabitto MI, Gebre S, Giacomello S, Gilroy S, Green SJ, Mason CE, Reinsch SS, Szewczyk NJ, Taylor DM, Galazka JM, Herranz R, Muratani M. A New Era for Space Life Science: International Standards for Space Omics Processing. Patterns (N Y) 2020; 1:100148. [PMID: 33336201 PMCID: PMC7733874 DOI: 10.1016/j.patter.2020.100148] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Space agencies have announced plans for human missions to the Moon to prepare for Mars. However, the space environment presents stressors that include radiation, microgravity, and isolation. Understanding how these factors affect biology is crucial for safe and effective crewed space exploration. There is a need to develop countermeasures, to adapt plants and microbes for nutrient sources and bioregenerative life support, and to limit pathogen infection. Scientists across the world are conducting space omics experiments on model organisms and, more recently, on humans. Optimal extraction of actionable scientific discoveries from these precious datasets will only occur at the collective level with improved standardization. To address this shortcoming, we established ISSOP (International Standards for Space Omics Processing), an international consortium of scientists who aim to enhance standard guidelines between space biologists at a global level. Here we introduce our consortium and share past lessons learned and future challenges related to spaceflight omics.
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Affiliation(s)
- Lindsay Rutter
- Transborder Medical Research Center and Department of Genome Biology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan
| | - Richard Barker
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital, Tubingen, Germany
| | - Henry Cope
- School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
| | - Sylvain V. Costes
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | | | - Kathleen M. Fisch
- Center for Computational Biology & Bioinformatics, Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Mariano I. Gabitto
- Flatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA
| | - Samrawit Gebre
- KBR, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | | | - Simon Gilroy
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA
| | - Stefan J. Green
- Genome Research Core, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10065, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
| | - Sigrid S. Reinsch
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Nathaniel J. Szewczyk
- Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH 45701, USA
| | - Deanne M. Taylor
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan M. Galazka
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Raul Herranz
- Centro de Investigaciones Biológicas “Margarita Salas” (CSIC), Ramiro de Maeztu 9, Madrid 28040, Spain
| | - Masafumi Muratani
- Transborder Medical Research Center and Department of Genome Biology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan
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6
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Sweeney LB, Bikoff JB, Gabitto MI, Brenner-Morton S, Baek M, Yang JH, Tabak EG, Dasen JS, Kintner CR, Jessell TM. Origin and Segmental Diversity of Spinal Inhibitory Interneurons. Neuron 2018; 97:341-355.e3. [PMID: 29307712 PMCID: PMC5880537 DOI: 10.1016/j.neuron.2017.12.029] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 11/14/2017] [Accepted: 12/17/2017] [Indexed: 10/18/2022]
Abstract
Motor output varies along the rostro-caudal axis of the tetrapod spinal cord. At limb levels, ∼60 motor pools control the alternation of flexor and extensor muscles about each joint, whereas at thoracic levels as few as 10 motor pools supply muscle groups that support posture, inspiration, and expiration. Whether such differences in motor neuron identity and muscle number are associated with segmental distinctions in interneuron diversity has not been resolved. We show that select combinations of nineteen transcription factors that specify lumbar V1 inhibitory interneurons generate subpopulations enriched at limb and thoracic levels. Specification of limb and thoracic V1 interneurons involves the Hox gene Hoxc9 independently of motor neurons. Thus, early Hox patterning of the spinal cord determines the identity of V1 interneurons and motor neurons. These studies reveal a developmental program of V1 interneuron diversity, providing insight into the organization of inhibitory interneurons associated with differential motor output.
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Affiliation(s)
- Lora B Sweeney
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
| | - Jay B Bikoff
- Howard Hughes Medical Institute, Zuckerman Institute, Departments of Neuroscience, and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Mariano I Gabitto
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA.
| | - Susan Brenner-Morton
- Howard Hughes Medical Institute, Zuckerman Institute, Departments of Neuroscience, and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Myungin Baek
- Neuroscience Institute, Department of Neuroscience and Physiology, NYU School of Medicine, New York, NY 10016, USA
| | - Jerry H Yang
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Esteban G Tabak
- Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
| | - Jeremy S Dasen
- Neuroscience Institute, Department of Neuroscience and Physiology, NYU School of Medicine, New York, NY 10016, USA
| | - Christopher R Kintner
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Thomas M Jessell
- Howard Hughes Medical Institute, Zuckerman Institute, Departments of Neuroscience, and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
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7
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Bikoff JB, Gabitto MI, Rivard AF, Drobac E, Machado TA, Miri A, Brenner-Morton S, Famojure E, Diaz C, Alvarez FJ, Mentis GZ, Jessell TM. Spinal Inhibitory Interneuron Diversity Delineates Variant Motor Microcircuits. Cell 2016; 165:207-219. [PMID: 26949184 DOI: 10.1016/j.cell.2016.01.027] [Citation(s) in RCA: 167] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 11/30/2015] [Accepted: 01/15/2016] [Indexed: 12/11/2022]
Abstract
Animals generate movement by engaging spinal circuits that direct precise sequences of muscle contraction, but the identity and organizational logic of local interneurons that lie at the core of these circuits remain unresolved. Here, we show that V1 interneurons, a major inhibitory population that controls motor output, fractionate into highly diverse subsets on the basis of the expression of 19 transcription factors. Transcriptionally defined V1 subsets exhibit distinct physiological signatures and highly structured spatial distributions with mediolateral and dorsoventral positional biases. These positional distinctions constrain patterns of input from sensory and motor neurons and, as such, suggest that interneuron position is a determinant of microcircuit organization. Moreover, V1 diversity indicates that different inhibitory microcircuits exist for motor pools controlling hip, ankle, and foot muscles, revealing a variable circuit architecture for interneurons that control limb movement.
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Affiliation(s)
- Jay B Bikoff
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
| | - Mariano I Gabitto
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Andre F Rivard
- Department of Physiology, Emory University School of Medicine, Atlanta, GA 30319, USA
| | - Estelle Drobac
- Center for Motor Neuron Biology and Disease, Departments of Pathology and Cell Biology and Neurology, Columbia University, New York, NY 10032, USA
| | - Timothy A Machado
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Andrew Miri
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Susan Brenner-Morton
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Erica Famojure
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Carolyn Diaz
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Francisco J Alvarez
- Department of Physiology, Emory University School of Medicine, Atlanta, GA 30319, USA
| | - George Z Mentis
- Center for Motor Neuron Biology and Disease, Departments of Pathology and Cell Biology and Neurology, Columbia University, New York, NY 10032, USA
| | - Thomas M Jessell
- Howard Hughes Medical Institute, Columbia University, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA; Departments of Neuroscience and Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
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8
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Gabitto MI, Pakman A, Bikoff JB, Abbott LF, Jessell TM, Paninski L. Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons. Cell 2016; 165:220-233. [PMID: 26949187 DOI: 10.1016/j.cell.2016.01.026] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 11/30/2015] [Accepted: 01/15/2016] [Indexed: 12/14/2022]
Abstract
Documenting the extent of cellular diversity is a critical step in defining the functional organization of tissues and organs. To infer cell-type diversity from partial or incomplete transcription factor expression data, we devised a sparse Bayesian framework that is able to handle estimation uncertainty and can incorporate diverse cellular characteristics to optimize experimental design. Focusing on spinal V1 inhibitory interneurons, for which the spatial expression of 19 transcription factors has been mapped, we infer the existence of ~50 candidate V1 neuronal types, many of which localize in compact spatial domains in the ventral spinal cord. We have validated the existence of inferred cell types by direct experimental measurement, establishing this Bayesian framework as an effective platform for cell-type characterization in the nervous system and elsewhere.
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Affiliation(s)
- Mariano I Gabitto
- Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Kavli Institute for Brain Science, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA.
| | - Ari Pakman
- Department of Statistics and Grossman Center for the Statistics of Mind, Columbia University, New York, NY 10027, USA
| | - Jay B Bikoff
- Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Kavli Institute for Brain Science, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA
| | - L F Abbott
- Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Physiology and Cellular Biophysics, Columbia University, New York, NY 10032, USA
| | - Thomas M Jessell
- Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Kavli Institute for Brain Science, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10032, USA
| | - Liam Paninski
- Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Statistics and Grossman Center for the Statistics of Mind, Columbia University, New York, NY 10027, USA.
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