Evidence map›Paper›PMID 37679627›Full record

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

Antibody Selection on Cells Targeting Membrane Proteins.

Viktor Glaser, Ümran Karsli-Ünal, Maike Hagedorn, Tom Pieper

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Viktor GlaserDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany.
Ümran Karsli-ÜnalDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany.
Maike HagedornDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany.
Tom PieperDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover, Germany. pieper.tom@mh-hannover.de.
Medizinische Hochschule Hannover · DEFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody phage display selection on cells is a powerful tool to generate highly specific antibodies recognizing a target in its cell bound conformation. Unlike phage display selections on immobilized proteins, it is not hampered by difficulties caused by recombinant protein expression of target proteins like altered folding or loss of epitopes. It also allows the generation of antibodies against proteins that are commercially unavailable, due to high production costs or lack of production. It is also a promising approach for single and especially multi-pass membrane proteins for which the complex secondary and tertiary structures can often not be retained upon recombinant protein expression. The selected antibodies are not only tools for in vivo studies but also used for the development of diagnostic assays and for therapeutical applications. Here, we describe a straightforward protocol for generation and screening of scFv binders by phage display selections on cells.

Indexed as

Cell Surface Display TechniquesAntibodiesBiological AssayMembrane ProteinsAntibodiesMembrane ProteinsAntibody phage displayAntibody selectionCell sortingFlow cytometryMembrane proteinsPanning

Identifiers

PMID37679627
OpenAlexW4386523442

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.