Evidence map›Paper›PMID 42883905›Full record

ReviewInternational journal of molecular sciences2026

Structure-Based Engineering for PTPσ-Targeted Therapeutic Development.

Hyunjin Kim, Seong Eon Ryu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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
–field-weighted citation impact
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.

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

2 authors.

Hyunjin KimDepartment of Bioengineering, College of Engineering, Hanyang University, Seoul 04673, Republic of Korea.ORCID 0009-0007-0299-4589
Seong Eon RyuDepartment of Bioengineering, College of Engineering, Hanyang University, Seoul 04673, Republic of Korea.ORCID 0000-0003-3335-326X

Funding

National Research Foundation of Korea NRF-2015M3A9B5030302National Research Foundation of Korea RS-2021-NR056525
6 · The paper itself

Abstract

Protein tyrosine phosphatase sigma (PTPσ) is a member of the leukocyte common antigen-related (LAR) family of receptor-type protein tyrosine phosphatases. Its architecture integrates an extracellular proteoglycan-sensing region, a single-pass transmembrane helix, and tandem intracellular phosphatase domains. In neural injury, inhibition of PTPσ signaling can relieve chondroitin sulfate proteoglycan (CSPG)-mediated restriction of axonal growth and plasticity. In rheumatoid arthritis (RA), by contrast, restoration of PTPσ activity in fibroblast-like synoviocytes can suppress pathogenic migration and invasion. Structural studies have established a proteoglycan-switch model in which glycosaminoglycan engagement of the N-terminal immunoglobulin-like domains and extracellular clustering regulate intracellular phosphatase activity. Recent work demonstrated that antibodies to the membrane-proximal fibronectin type III-like domain 9 (Fn9) can regulate PTPσ oligomerization and syndecan-4 association in rheumatoid arthritis. Structure-guided protein engineering has converted a poorly soluble PTPσ Ig1-Ig2 decoy into developable Fc-fusion variants with substantially improved solubility and expression yield while retaining glycosaminoglycan binding and cell-based activity. This review summarizes the structural basis of PTPσ regulation and evaluates therapeutic modalities and engineering strategies for advancing PTPσ-directed biologics toward clinical candidates.

Indexed as

Protein EngineeringReceptor-Like Protein Tyrosine Phosphatases, Class 2AnimalsArthritis, RheumatoidHumansReceptor-Like Protein Tyrosine Phosphatases, Class 2neural regenerationproteoglycan switchPTPRSPTPσreceptor protein tyrosine phosphataserheumatoid arthritisstructure-based engineering

Identifiers

PMID42883905
PMCPMC13664785

What OpenQuestion holds

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Registered trials

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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.