grant

Comprehensive single-cell atlas of the developing mouse brain

Organization HARVARD UNIVERSITYLocation CAMBRIDGE, UNITED STATESPosted 1 Sept 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY202521+ years old2nd trimester3-D3-Dimensional3DATAC sequencingATAC-seqATACseqAdultAdult HumanAgeAnatomic SitesAnatomic structuresAnatomyAssay for Transposase-Accessible Chromatin using sequencingAtlasesBar CodesBrainBrain Nervous SystemCRISPR editing screenCRISPR screenCRISPR-based screenCRISPR/Cas9 screenCell BodyCell DifferentiationCell Differentiation processCell FunctionCell LineageCell LocomotionCell MaturationCell MigrationCell MovementCell PhysiologyCell ProcessCellsCellular FunctionCellular MigrationCellular MotilityCellular PhysiologyCellular ProcessCensusesClassificationCommunitiesComparative StudyComplexComputational algorithmComputing MethodologiesDataData SetDevelopmentEmbryoEmbryonicEncephalonEventEvolutionExperimental ModelsFundingGene ExpressionGene TranscriptionGeneral TaxonomyGenetic TranscriptionGenomicsGoalsHumanHuman DevelopmentIn SituInvestigationInvestigatorsIsoformsKnowledgeLaboratoriesLengthLineage TracingLinkMapsMethodsMiceMice MammalsMidtrimesterModalityModern ManMolecularMurineMusNatureNeural Stem CellNeurodevelopmental DisorderNeurological Development DisorderNeurosciencesPatternProcessProtein IsoformsRNA ExpressionRNA SeqRNA sequencingRNAseqRegulationResearch PersonnelResearch ResourcesResearchersResolutionResourcesSamplingScienceSecond Pregnancy TrimesterSecond TrimesterSingle-Nucleus SequencingSomatosensory CortexSpatial DistributionSubcellular ProcessSystematicsTaxonomyTechnologyTestingTimeTranscriptionTranslatingValidationViral Vectoradulthoodagesassay for transposase accessible chromatin followed by sequencingassay for transposase accessible chromatin seqassay for transposase accessible chromatin sequencingassay for transposase-accessible chromatin with sequencingbarcodebasebasesbrain cellbrain circuitrycandidate identificationcell lineage analysiscell lineage mappingcell lineage tracingcell lineage trackingcell motilitycell typecellular differentiationcellular lineage mappingcellular lineage trackingclustered regularly interspaced short palindromic repeats screencomparativecomputational methodologycomputational methodscomputer algorithmcomputer based methodcomputer methodscomputing methoddata integrationdata resourcedevelopmentalepigenome profilingepigenomic profilingepigenomicsexperiencegenomic datagenomic datasethuman diseasein uteroin vivoinnovateinnovationinnovativeinsightlarge scale datalarge scale data setslarge scale datasetslife spanlifespanmouse modelmultiomicsmultiple omicsmurine modelnerve stem cellneural precursorneural precursor cellneural progenitorneural progenitor cellsneural stem and progenitor cellsneurodevelopmental diseaseneurogenic progenitorsneurogenic stem cellneuron progenitorsneuronal progenitorneuronal progenitor cellsneuronal stem cellsneuroprogenitornon-human primatenonhuman primatepanomicspost-natal developmentpostnatalpostnatal developmentprenatalprogenitor and neural stem cellsprospectiveresolutionsresponsesNuc-SeqscRNA sequencingscRNA-seqscale upsensory inputsingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell genomicssingle cell transcriptomic profilingsingle nucleus RNA-sequencingsingle nucleus seqsingle-cell RNA sequencingsingle-nucleus RNA-seqsnRNA sequencingsnRNA-seqsomesthetic sensory cortexspatial RNA sequencingspatial and temporalspatial gene expression analysisspatial gene expression profilingspatial relationshipspatial resolved transcriptome sequencingspatial temporalspatial transcriptome analysisspatial transcriptome profilingspatial transcriptome sequencingspatial transcriptomicsspatially resolved transcriptomicsspatio transcriptomicsspatiotemporaltemporal measurementtemporal resolutionthree dimensionaltime measurementtimelinetranscriptome profilingtranscriptome sequencingtranscriptomic profilingtranscriptomic sequencingtranscriptomicsunbornvalidations
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Full Description

PROJECT SUMMARY
The developing mouse brain is a foundational experimental model for investigation of the origins of cell types in

the mammalian brain. Comprehensive knowledge of mouse brain development is critical for comparative studies

of neurodevelopmental processes, which are key to understanding the remarkable evolutionary innovations that

distinguish humans from other species. In addition, developmental information enables refining cell taxonomy in

the adult brain by incorporating knowledge of cell type and lineage origins into adult cell classification. Despite

the transformative insights enabled by the recently created molecular atlas of the adult mouse brain, we currently

lack a comprehensive census of cell types of the developing mouse brain, and the lineage relationships that link

them to their adult counterparts.

Here we seek to generate a comprehensive, spatially- and temporally-resolved, cellular-resolution atlas of the

whole developing mouse brain, sampled at high resolution through the entire period of embryonic and postnatal

brain development (from E8.0 to P28). We will employ three complementary approaches to generate

comprehensive multi-omic single-cell profiles: 10x Genomics single-cell RNA-seq (scRNA-seq), 10x Genomics

Multiome (simultaneous single-nucleus RNA-seq and ATAC-seq, for combined transcriptomic and epigenomic

profiling), and Smart-seq3 (for full-length deep RNA-sequencing). In parallel, we will use the spatially resolved

transcriptomic method MERFISH across the same densely-sampled timeline, to identify the spatial distribution

of all cell types and dynamic changes in cell states across the entire mouse brain. We will apply computational

methods to predict developmental lineage relationships from these spatially and temporally resolved datasets,

and experimentally validate lineage relationships through both barcode-based in vivo lineage tracing and by

functionally testing candidate molecular effectors using multiplexed in utero CRISPR screening (Perturb-seq).

Finally, we will pilot integration of developmental datasets across species, mapping single-cell omics datasets

from the developing human and non-human primate brains onto the comprehensive mouse brain developing cell

type atlas established here, to create a computational alignment of developmental time that will enable

understanding of differential regulation of specific developmental events across species. Overall, this project

brings together a team of investigators with extensive, demonstrated expertise in brain development, circuitry,

single-cell genomics, and assembly of brain atlases to produce a comprehensive developmental brain cell atlas,

intended to serve as a first-of-its-kind foundational resource to the neuroscience community for the study of

mechanisms of mammalian brain development and neurodevelopmental disorders. Our proposed project will

contribute substantially to the overarching goal of BICAN to generate fundamental knowledge on diverse cell

types and their three-dimensional organizational principles in the brain across lifespan and evolution.

Grant Number: 5U01MH130962-04
NIH Institute/Center: NIH

Principal Investigator: Paola Arlotta

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