Cargando…

Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging

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 polym...

Descripción completa

Detalles Bibliográficos
Autores principales: Goltsev, Yury, Samusik, Nikolay, Kennedy-Darling, Julia, Bhate, Salil, Hale, Matthew, Vazquez, Gustavo, Black, Sarah, Nolan, Garry P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086938/
https://www.ncbi.nlm.nih.gov/pubmed/30078711
http://dx.doi.org/10.1016/j.cell.2018.07.010
_version_ 1783346590464868352
author Goltsev, Yury
Samusik, Nikolay
Kennedy-Darling, Julia
Bhate, Salil
Hale, Matthew
Vazquez, Gustavo
Black, Sarah
Nolan, Garry P.
author_facet Goltsev, Yury
Samusik, Nikolay
Kennedy-Darling, Julia
Bhate, Salil
Hale, Matthew
Vazquez, Gustavo
Black, Sarah
Nolan, Garry P.
author_sort Goltsev, Yury
collection PubMed
description 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 architecture at a single-cell and cellular neighborhood levels. We observed an unexpected, profound impact of the cellular neighborhood on the expression of protein receptors on immune cells. By comparing normal murine spleen to spleens from animals with systemic 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 tissue architecture in normal and clinically aberrant samples.
format Online
Article
Text
id pubmed-6086938
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Cell Press
record_format MEDLINE/PubMed
spelling pubmed-60869382018-08-13 Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging Goltsev, Yury Samusik, Nikolay Kennedy-Darling, Julia Bhate, Salil Hale, Matthew Vazquez, Gustavo Black, Sarah Nolan, Garry P. Cell Article 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 architecture at a single-cell and cellular neighborhood levels. We observed an unexpected, profound impact of the cellular neighborhood on the expression of protein receptors on immune cells. By comparing normal murine spleen to spleens from animals with systemic 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 tissue architecture in normal and clinically aberrant samples. Cell Press 2018-08-09 /pmc/articles/PMC6086938/ /pubmed/30078711 http://dx.doi.org/10.1016/j.cell.2018.07.010 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Goltsev, Yury
Samusik, Nikolay
Kennedy-Darling, Julia
Bhate, Salil
Hale, Matthew
Vazquez, Gustavo
Black, Sarah
Nolan, Garry P.
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title_full Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title_fullStr Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title_full_unstemmed Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title_short Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging
title_sort deep profiling of mouse splenic architecture with codex multiplexed imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086938/
https://www.ncbi.nlm.nih.gov/pubmed/30078711
http://dx.doi.org/10.1016/j.cell.2018.07.010
work_keys_str_mv AT goltsevyury deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT samusiknikolay deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT kennedydarlingjulia deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT bhatesalil deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT halematthew deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT vazquezgustavo deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT blacksarah deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging
AT nolangarryp deepprofilingofmousesplenicarchitecturewithcodexmultiplexedimaging