Evidence map›Paper›PMID 35515810›Full record

ArticleRSC advances2020

Rapid isolation of antigen-specific B-cells using droplet microfluidics.

Ruihua Ding, Kuo-Chan Hung, Anindita Mitra, Lloyd W Ung, Daniel Lightwood, Ran Tu, Dale Starkie, Liheng Cai, Linas Mazutis, Shaorong Chong and 2 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
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  4. Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Cell-Free Production Systems in Droplet Microfluidics.Advances in biochemical engineering/biotechnology · 2023
    Review
  13. Article
  14. Review
  15. Acoustofluidic Droplet Sorter Based on Single Phase Focused Transducers.Small (Weinheim an der Bergstrasse, Germany) · 2021
    Article
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 6 countries.

Ruihua DingJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.
Kuo-Chan HungJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.ORCID https://orcid.org/0000-0002-4937-5984
Anindita MitraJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.
Lloyd W UngJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.
Daniel LightwoodUCB Pharma 216 Bath Road Slough SL1 3WE UK.
Ran TuJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.
Dale StarkieUCB Pharma 216 Bath Road Slough SL1 3WE UK.
Liheng CaiJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.ORCID https://orcid.org/0000-0002-6806-0566
Linas MazutisJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.ORCID https://orcid.org/0000-0002-5552-6427
Shaorong ChongNew England Biolabs 240 County Road, Ipswich MA 01938 USA.
David A WeitzJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.ORCID https://orcid.org/0000-0001-6678-5208
John A HeymanJohn A. Paulson School of Engineering and Applied Sciences, Harvard University 11 Oxford Street Cambridge MA 02138 USA jheyman@g.harvard.edu +1-760-884-9961.ORCID https://orcid.org/0000-0003-0344-3694
Harvard University · USUCB Pharma (United Kingdom) · GBNew England Biolabs (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies are powerful tools for scientific research and are the basis of numerous therapeutics. However, traditional approaches to generate monoclonal antibodies against a desired target, such as hybridoma-based techniques and display library methods, are laborious and suffer from fusion inefficiency and display bias, respectively. Here we present a platform, featuring droplet microfluidics and a bead-based binding assay, to rapidly identify and verify antigen-binding antibody sequences from primary cells. We used a defined mixture of hybridoma cells to characterize the system, sorting droplets at up to 100 Hz and isolating desired hybridoma cells, comprising 0.1% of the input, with a false positive rate of less than 1%. We then applied the system to once-frozen primary B-cells to isolate rare cells secreting target-binding antibody. We performed RT-PCR on individual sorted cells to recover the correctly paired heavy- and light-chain antibody sequences, and we used rapid cell-free protein synthesis to generate single-chain variable fragment-format (scFv) antibodies from fourteen of the sorted cells. Twelve of these showed antigen-specific binding by ELISA. Our platform facilitates screening animal B-cell repertoires within days at low cost, increasing both rate and range of discovering antigen-specific antibodies from living organisms. Further, these techniques can be adapted to isolate cells based on virtually any secreted product.

Identifiers

PMID35515810
PMCPMC9055518
OpenAlexW3043471948

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.