4.8 Article

Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging

期刊

CELL
卷 174, 期 4, 页码 968-+

出版社

CELL PRESS
DOI: 10.1016/j.cell.2018.07.010

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资金

  1. US NIH [U19AI057229, 1U19AI100627, R01CA184968, 1R33CA183654-01, R33CA183692, 1R01GM10983601, 1R21CA183660, 1R01NS08953301, 5UH2AR067676, 1R01CA19665701, R01HL120724, R01HL128173]
  2. Bill and Melinda Gates foundation [OPP1113682]
  3. Department of Defense (CDMRP) [W81XWH-14-1-0180]
  4. Northrop-Grumman Corporation [7500108142]
  5. NIH [U54-CA209971]
  6. Rachford & Carlotta A. Harris Endowed Chair

向作者/读者索取更多资源

A highly multiplexed cytometric imaging approach, termed co-detection by indexing (CODEX), is used here to create multiplexed datasets of normal and lupus (MRL/lpr) murine spleens. CODEX iteratively visualizes antibody binding events using DNA barcodes, fluorescent dNTP analogs, and an in situ polymerization-based indexing procedure. An algorithmic pipeline for single-cell antigen quantification in tightly packed tissues was developed and used to overlay well-known morphological features with de novo characterization of lymphoid tissue architec-cellular neighborhood on the expression of protein temic autoimmune disease (MRL/lpr), extensive and previously uncharacterized splenic cell-interaction dynamics in the healthy versus diseased state was observed. The fidelity of multiplexed spatial cytometry demonstrated here allows for quantitative systemic characterization of architecture in normal and clinically aberrant samples.

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