Evidence map›Paper›PMID 37405649›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Single-Cell B-Cell Sequencing to Generate Natively Paired scFab Yeast Surface Display Libraries.

Nathaniel Pascual, Theodore Belecciu, Sam Schmidt, Athar Nakisa, Xuefei Huang, Daniel Woldring

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Nathaniel PascualDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA.
Theodore BelecciuDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA.
Sam SchmidtDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA.
Athar NakisaInstitute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA.
Xuefei HuangInstitute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA.
Daniel WoldringDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA. woldring@msu.edu.
Michigan State University · US

Funding

Rationally guided discovery platform for monoclonal antibodies against carbohydrate antigens using virus-like particle conjugate immunization and high throughput selectionR21AI174001 · NIAID · MICHIGAN STATE UNIVERSITY · PI WOLDRING, DANIEL RAY · 2023 to 2024
$416k
NIAID NIH HHS R21 AI174001
6 · The paper itself

Abstract

The immune cell profiling capabilities of single-cell RNA sequencing (scRNA-seq) are powerful tools that can be applied to the design of theranostic monoclonal antibodies (mAbs). Using scRNA-seq to determine natively paired B-cell receptor (BCR) sequences of immunized mice as a starting point for design, this method outlines a simplified workflow to express single-chain antibody fragments (scFabs) on the surface of yeast for high-throughput characterization and further refinement with directed evolution experiments. While not extensively detailed in this chapter, this method easily accommodates the implementation of a growing body of in silico tools that improve affinity and stability among a range of other developability criteria (e.g., solubility and immunogenicity).

Indexed as

Antibodies, MonoclonalSaccharomyces cerevisiaeAnimalsB-LymphocytesMiceReceptors, Antigen, B-CellSingle-Cell AnalysisAntibodies, MonoclonalReceptors, Antigen, B-CellAntibodiesB-cell receptorsMouse immunizationscFab library generationSingle-cell sequencingYeast surface display (YSD)

Identifiers

PMID37405649
OpenAlexW4383186165

What OpenQuestion holds

Textmetadata
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.