Harnessing Single-Cell Technologies to Understand and Diagnose Rejection in Clinical Face and Upper Extremity Transplantations

Abstract

Monitoring and immunosuppression of patients following vascular composite allograft (VCA) transplantation is currently basedon protocols used in solid organ transplantation (SOT). However, VCAs pose unique immunological challenges because theycontain a significant load of passenger donor immune cells. A deeper understanding of mechanisms underlying VCA rejectionand identification of biomarkers that can reliably distinguish rejection from other skin inflammation are crucial for thedevelopment of more selective immunosuppression targeted specifically for VCA recipients. We will retrospectively studycryopreserved allograft skin biopsies from 7 face and 3 upper extremity transplant patients by single nucleus RNA sequencing(sNucSeq), to (1) identify the cell type, frequency and gene expression profiles (hence, their functional states and phenotypes)of graft-derived and infiltrating cells within VCAs during ACR and non-rejection, and (2) compare single nucleus geneexpression profiles of ACR with that of non-transplant related skin inflammation to discover unique molecular changes occurwithin VCA transplants during ACR, which are distinct from non-rejection related skin inflammation. IRB approval for thisproject has been obtained and HRPO approval is pending.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2019
Accession Number
AD1086538

Entities

People

  • Rachael Clark

Organizations

  • Brigham and Women's Hospital

Tags

DTIC Thesaurus Topics

  • Allografts
  • Biomedical Research
  • Department Of Defense
  • Gene Expression
  • Health Services
  • Hospitals
  • Inflammation
  • Information Operations
  • Law
  • Maryland
  • Patent Applications
  • Rejection
  • Rna Sequence Analysis
  • Transplantation
  • Transplants
  • Upper Extremity

Fields of Study

  • Biology
  • Medicine

Readers

  • Neuroscience
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology