Evidence map›Paper›PMID 33980972›Full record

ArticleCommunications biology2021

CellectSeq: In silico discovery of antibodies targeting integral membrane proteins combining in situ selections and next-generation sequencing.

Abdellali Kelil, Eugenio Gallo, Sunandan Banerjee, Jarrett J Adams, Sachdev S Sidhu

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Discovery of Therapeutic Antibodies Targeting Complex Multi-Spanning Membrane Proteins.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024
    Review
  3. Article
  4. Review
  5. Machine learning to predict continuous protein properties from binary cell sorting data and map unseen sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. 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

5 authors at 1 institution in 1 country.

Abdellali Kelil *Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.
Eugenio Gallo *Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.
Sunandan BanerjeeDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.
Jarrett J AdamsToronto Recombinant Antibody Centre, University of Toronto, Toronto, Canada.
Sachdev S SidhuDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada. sachdev.sidhu@utoronto.ca.ORCID http://orcid.org/0000-0001-7755-5918
University of Toronto · CA

Funding

CIHR CIG-151303CIHR MOP-136944CIHR PPP-139084
6 · The paper itself

Abstract

Synthetic antibody (Ab) technologies are efficient and cost-effective platforms for the generation of monoclonal Abs against human antigens. Yet, they typically depend on purified proteins, which exclude integral membrane proteins that require the lipid bilayers to support their native structure and function. Here, we present an Ab discovery strategy, termed CellectSeq, for targeting integral membrane proteins on native cells in complex environment. As proof of concept, we targeted three transmembrane proteins linked to cancer, tetraspanin CD151, carbonic anhydrase 9, and integrin-α11. First, we performed in situ cell-based selections to enrich phage-displayed synthetic Ab pools for antigen-specific binders. Then, we designed next-generation sequencing procedures to explore Ab diversities and abundances. Finally, we developed motif-based scoring and sequencing error-filtering algorithms for the comprehensive interrogation of next-generation sequencing pools to identify Abs with high diversities and specificities, even at extremely low abundances, which are very difficult to identify using manual sampling or sequence abundances.

Indexed as

Antibodies, MonoclonalCarbonic Anhydrase IXCell LineCell Surface Display TechniquesComputer SimulationHEK293 CellsHigh-Throughput Nucleotide SequencingHumansIntegrin alpha ChainsMembrane ProteinsSynthetic BiologyTetraspaninsAntibodies, MonoclonalCarbonic Anhydrase IXIntegrin alpha ChainsITGA11 protein, humanMembrane ProteinsTetraspanins

Identifiers

PMID33980972
PMCPMC8115320
OpenAlexW3160351040

What Socratic 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 Socratic graph.