A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

High-throughput and multimodal profiling of antigen-specific T cells with a droplet-based cell-cell interaction screening platform. | LitMetric

High-throughput and multimodal profiling of antigen-specific T cells with a droplet-based cell-cell interaction screening platform.

Biosens Bioelectron

Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518107, China. Electronic address:

Published: January 2025

AI Article Synopsis

  • Identifying antigen-specific T cells from tumors is crucial for developing effective immunotherapies, but traditional techniques face challenges in efficient and simultaneous screening.
  • The new method, DropCCI, uses droplets to link antigen information to T cells while preventing contamination, enabling high-throughput and precise multimodal profiling.
  • DropCCI utilizes click chemistry for rapid single-cell sequencing, avoiding complex equipment and allowing for a clearer understanding of T cell responses, with potential applications beyond immunotherapy.

Article Abstract

Identifying antigen-specific T cells from tumor-infiltrating lymphocytes is essential for designing effective T cell immunotherapies. Traditional methods can detect antigen-specific T cells but struggle with high-throughput screening and multimodal profiling simultaneously. To address this issue, we developed DropCCI, a new strategy that transfers antigen information to co-incubated T cells for high-throughput, non-contaminated multimodal profiling. In DropCCI, droplets encapsulated DNA barcodes and antigen-loaded antigen-presenting cells (APCs), while click chemistry-modified T cells were injected into these droplets to capture free barcodes and acquire the corresponding antigen information. Following cell-cell interaction, APCs were removed via streptavidin-biotin conjugation, to prevent contamination. The resulting T cells underwent single-cell omics sequencing for comprehensive profiling of their antigen specificity, transcriptome, and genomics accurately. This click-chemistry method allowed detection of antigen-specific T cells without lysing APCs, avoiding cross-cell contamination and enabling low-noise multimodal profiling of primary T cells. With a completion time within 12 h and no requirement for complex equipment, DropCCI provides unbiased single-cell sequencing results that offer a comprehensive understanding of anti-tumor T cell responses. The concept of DropCCI holds great promise not only for advancing the field of T cell immunotherapy but also for its potential application in studying other cell-cell interactions.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bios.2024.116815DOI Listing

Publication Analysis

Top Keywords

multimodal profiling
16
antigen-specific cells
16
cells
9
cell-cell interaction
8
profiling
5
high-throughput multimodal
4
antigen-specific
4
profiling antigen-specific
4
cells droplet-based
4
droplet-based cell-cell
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!