Literature DB >> 32445299

Oligonucleotide conjugated antibodies permit highly multiplexed immunofluorescence for future use in clinical histopathology.

Nathan P McMahon1, Jocelyn A Jones1, Sunjong Kwon1,2, Koei Chin1,2, Michel A Nederlof3, Joe W Gray1,4,2, Summer L Gibbs1,4,2.   

Abstract

SIGNIFICANCE: Advanced genetic characterization has informed cancer heterogeneity and the challenge it poses to effective therapy; however, current methods lack spatial context, which is vital to successful cancer therapy. Conventional immunolabeling, commonplace in the clinic, can provide spatial context to protein expression. However, these techniques are spectrally limited, resulting in inadequate capacity to resolve the heterogenous cell subpopulations within a tumor. AIM: We developed and optimized oligonucleotide conjugated antibodies (Ab-oligo) to facilitate cyclic immunofluorescence (cyCIF), resulting in high-dimensional immunostaining. APPROACH: We employed a site-specific conjugation strategy to label antibodies with unique oligonucleotide sequences, which were hybridized in situ with their complementary oligonucleotide sequence tagged with a conventional fluorophore. Antibody concentration, imaging strand concentration, and configuration as well as signal removal strategies were optimized to generate maximal staining intensity using our Ab-oligo cyCIF strategy.
RESULTS: We successfully generated 14 Ab-oligo conjugates and validated their antigen specificity, which was maintained in single color staining studies. With the validated antibodies, we generated up to 14-color imaging data sets of human breast cancer tissues.
CONCLUSIONS: Herein, we demonstrated the utility of Ab-oligo cyCIF as a platform for highly multiplexed imaging, its utility to measure tumor heterogeneity, and its potential for future use in clinical histopathology.

Entities:  

Keywords:  cancer heterogeneity; cyclic immunostaining; multiplexed immunostaining; oligonucleotide conjugated antibody

Year:  2020        PMID: 32445299     DOI: 10.1117/1.JBO.25.5.056004

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  6 in total

1.  A framework for multiplex imaging optimization and reproducible analysis.

Authors:  Jennifer Eng; Elmar Bucher; Zhi Hu; Ting Zheng; Summer L Gibbs; Koei Chin; Joe W Gray
Journal:  Commun Biol       Date:  2022-05-11

Review 2.  Pediatric Sarcomas: The Next Generation of Molecular Studies.

Authors:  Petros Giannikopoulos; David M Parham
Journal:  Cancers (Basel)       Date:  2022-05-20       Impact factor: 6.575

3.  TRIPODD: a Novel Fluorescence Imaging Platform for In Situ Quantification of Drug Distribution and Therapeutic Response.

Authors:  Nathan P McMahon; Allison Solanki; Lei G Wang; Antonio R Montaño; Jocelyn A Jones; Kimberley S Samkoe; Kenneth M Tichauer; Summer L Gibbs
Journal:  Mol Imaging Biol       Date:  2021-03-09       Impact factor: 3.488

Review 4.  Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

Authors:  Madeleine S Durkee; Rebecca Abraham; Marcus R Clark; Maryellen L Giger
Journal:  Am J Pathol       Date:  2021-06-12       Impact factor: 5.770

5.  Oligonucleotide conjugated antibody strategies for cyclic immunostaining.

Authors:  Jocelyn A Jones; Nathan P McMahon; Ting Zheng; Jennifer Eng; Koei Chin; Sunjong Kwon; Michel A Nederlof; Joe W Gray; Summer L Gibbs
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

6.  Circulating Neoplastic-Immune Hybrid Cells Predict Metastatic Progression in Uveal Melanoma.

Authors:  Michael S Parappilly; Yuki Chin; Riley M Whalen; Ashley N Anderson; Trinity S Robinson; Luke Strgar; Thomas L Sutton; Patrick Conley; Christopher Klocke; Summer L Gibbs; Young Hwan Chang; Guanming Wu; Melissa H Wong; Alison H Skalet
Journal:  Cancers (Basel)       Date:  2022-09-23       Impact factor: 6.575

  6 in total

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