grant

Core C

Organization UNIVERSITY OF PITTSBURGH AT PITTSBURGHLocation PITTSBURGH, UNITED STATESPosted 1 Jun 2015Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY2026AlgorithmsAsthmaBioinformaticsBioinformatics coreBioinformatics research coreBioinformatics resource coreBiologicalBiologyBiomedical ResearchBody TissuesBronchial AsthmaBronchioalveolar LavageBronchoalveolar LavageBronchopulmonary LavageCITE sequencingCITE-seqCITEseqCell BodyCell surfaceCellsCellular Indexing of Transcriptomes and Epitopes by SequencingCharacteristicsCollaborationsCommunicationCommunitiesComputational toolkitComputing MethodologiesCoupledCytometryDNA Sequencing FacilityDataData SetDiagnosisEnsureEpithelial CellsFoundationsFutureGene ExpressionGenesGoalsGrantHeterogeneityImmuneImmunesImmunochemical ImmunologicImmunologicImmunologic SubtypingImmunologicalImmunologicallyImmunologicsImmunologyImmunophenotypingInformation DisseminationInvestigatorsKnowledgeLung DiseasesLung LavageMeasuresMethodsMolecularMolecular FingerprintingMolecular ProfilingMultiomic DataPathogenesisPathway interactionsPatientsPilot ProjectsPneumologyPneumonologyProcessProteinsPublicationsPulmonary DiseasesPulmonary DisorderPulmonary MedicinePulmonologyRNA SeqRNA sequencingRNAseqRefractoryResearchResearch PersonnelResearchersResolutionRespiratory EpitheliumScientific PublicationSequencing CoreServicesSingle cell seqSteroid CompoundSteroidsStructure of respiratory epitheliumSystemT cell receptor repertoire sequencingT cell receptor sequencingTCR repertoire sequencingTCR sequencingTCR-seqTCRseqTechnical ExpertiseTechnologyTestingTissuesWorkairway epitheliumasthma patientasthmatic patientbio-informatics pipelinebio-informatics toolbioinformatics pipelinebioinformatics toolbiologicbronchial epitheliumbronchiolar alveolar lavagebronchopulmonary lavage therapycellular indexing of transcriptomes and epitopes by single cell sequencingclinical phenotypecomputational methodologycomputational methodscomputational toolboxcomputational toolscomputational toolsetcomputer based methodcomputer methodscomputerized data processingcomputerized toolscomputing methoddata processingdata qualitydesigndesigningdisease of the lungdisorder of the lungdissemination of resultsexperienceexperimentexperimental researchexperimental studyexperimentsgenomic datagenomic datasetgenomic toolsinsightlung disordermolecular profilemolecular signaturemulti-modal datamulti-modal datasetsmultidisciplinarymultimodal datamultimodal datasetsmultiomicsmultiple omic datamultiple omicsnovelpanomicspathwayphenotypic datapilot studypreventpreventingrecruitresolutionsrespiratory tract epitheliumsample collectionscRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell analysissingle cell expression profilingsingle cell genomicssingle cell next generation sequencingsingle cell sequencingsingle cell technologysingle cell transcriptomic profilingsingle-cell RNA sequencingspecimen collectiontechnical skillstranscriptome profilingtranscriptome sequencingtranscriptomic profilingtranscriptomic sequencing
Sign up free to applyApply link · pipeline · email alerts
— or —

Get email alerts for similar roles

Weekly digest · no password needed · unsubscribe any time

Full Description

ABSTRACT
Droplet-based single cell transcriptome sequencing (scRNA-seq) technology is able to measure the gene

expression from tens of thousands of single cells simultaneously. More recently, coupled with cutting-edge

Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) and Cell Hashing technology,

the droplet-based system has allowed for immunophenotyping of single cells based on cell surface expression

of specific proteins together with simultaneous transcriptome profiling in the same cell. These cutting-edge

technologies have transformed biomedical research. The proposed two projects in this P01 renewal will apply

these single-cell genomics tools to further characterize the molecular signature of severe asthma patients and

advance our knowledge of underlying pathobiological characteristics. Bioinformatics and sequencing Core C

will provide full support to both projects with the knowledge from the best single cell experiment and

bioinformatics practice in the field. With the similar responsibility of Core C in the previous cycle, our core will

continue providing high-quality services of cutting-edge single cell experiments and advanced bioinformatics

analysis. In addition to classic analysis, Core C will develop new computational tools to analyze single-cell

multi-omics data and integrate multi-modal data with clinical phenotypes from both projects. Specifically, the

aims of our team are to: (1) perform bulk RNA-seq, TCR-seq, scRNA-seq and CITE-seq experiments, (2)

perform data processing and advanced bioinformatic analysis of multi-omics data, and (3) develop novel and

tailored computational methods for integrative analysis of multi-omics single cell data. To achieve our goals,

we have assembled a multidisciplinary team with outstanding expertise in asthma research, single-cell

technology, bioinformatics, and computational immunology. Our pioneering work should generate precious

genomics data, enhance our understanding of asthma pathogenesis, and provide new biological insights to

prevent, diagnose, and treat severe asthma.

Grant Number: 5P01AI106684-10
NIH Institute/Center: NIH

Principal Investigator: Wei Chen

Sign up free to get the apply link, save to pipeline, and set email alerts.

Sign up free →

Agency Plan

7-day free trial

Unlock procurement & grants

Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.

$29.99 / month

  • 🔔Email alerts for new matching tenders
  • 🗂️Track tenders in your pipeline
  • 💰Filter by contract value
  • 📥Export results to CSV
  • 📌Save searches with one click
Start 7-day free trial →