Evidence map›Paper›PMID 34207911›Full record

ArticleInternational journal of molecular sciences2021

Semi-Automated Cell Panning for Efficient Isolation of FGFR3-Targeting Antibody.

Byeongkwi Min, Minyoung Yoo, Hyeree Kim, Minjung Cho, Do-Hyun Nam, Yeup Yoon

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Byeongkwi MinDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.ORCID 0000-0002-9837-7986
Minyoung YooInstitute for Refractory Cancer Research, Research Institute for Future Medicine, Samsung Medical Center, Seoul 06351, Korea.
Hyeree KimDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.
Minjung ChoInstitute for Refractory Cancer Research, Research Institute for Future Medicine, Samsung Medical Center, Seoul 06351, Korea.
Do-Hyun NamDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.
Yeup YoonDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.
Samsung (South Korea) · KRSamsung Medical Center · KR

Funding

Korea Health Industry Development Institute HI14C3418
6 · The paper itself

Abstract

Phage display technology is a widely used practical tool for isolating binding molecules against the desired targets in phage libraries. In the case of targeting the membrane protein with its natural conformation, conventional bio-panning has limitations on the efficient screening of the functionally relevant antibodies. To enrich the single-chain variable fragment (scFv) pools for recognizing the natural conformation of the membrane targets, the conventional bio-panning and screening process was modified to include the semi-automated cell panning protocol. Using FGFR3-overexpressing patient-derived cancer cells, biotin-X-DHPE was introduced and coupled to Streptavidin-coated magnetic beads for use in the solution-phage bio-panning procedure. The resulting clones of scFv were compared to the diversity of the binding region, especially on CDR-H3. The clones enriched further by cell-based panning procedure possessed a similar binding site and the CDR-H3 loop structure. The resulting antibodies inhibited cell growth and induced target degradation. This process may be a useful tool for screening biologically related antibodies that recognize natural conformational structure on cell membrane protein. Furthermore, cell-based panning has the potential to further expand to a high-throughput screening (HTS) system and automation process.

Indexed as

Automation, LaboratoryCell Culture TechniquesAntineoplastic Agents, ImmunologicalHumansNeoplasmsReceptor, Fibroblast Growth Factor, Type 3Single-Chain AntibodiesTumor Cells, CulturedAntineoplastic Agents, ImmunologicalFGFR3 protein, humanReceptor, Fibroblast Growth Factor, Type 3Single-Chain Antibodiescell-based panningFGFR3-specific antibodyphage displaysemi-automated cell panning

Identifiers

PMID34207911
PMCPMC8229736
OpenAlexW3169342585

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.