Evidence map›Paper›PMID 42524079›Full record

ArticleAdvanced pharmaceutical bulletin2026

Optimizing Expression of a Llama-Based Anti-PSMA Nanobody in

Seyedeh Sheila Seyed-Motahari, Shahriyar Abdoli, Mohammad Ali Shokrgozar, Shiva Irani, Zahra Sharifzadeh

Abstract read
In one paragraph

Article in Advanced pharmaceutical bulletin, 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

5 authors.

Seyedeh Sheila Seyed-MotahariDepartment of Biology, SR.C., Islamic Azad University, Tehran, Iran.ORCID https://orcid.org/0009-0009-5723-2789
Shahriyar AbdoliSchool of Advanced Medical Technologies, Golestan University of Medical Sciences, Gorgan, Iran.
Mohammad Ali ShokrgozarNational Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran.
Shiva IraniDepartment of Biology, SR.C., Islamic Azad University, Tehran, Iran.
Zahra SharifzadehDepartment of Immunology, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0002-4419-0315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Nanobodies possess unique properties that make them promising as tumor targeting agents. Prostate-specific membrane antigen (PSMA), overexpressed in prostate cancer, can be an excellent target for prostate cancer diagnosis. This study aimed to express and purify an anti-PSMA nanobody (PSMA-Nb) and assess its potential for detecting PSMA antigen in prostate cancer through immunohistochemistry (IHC). Methods: The PSMA-Nb gene was subcloned into pET-28a and expressed in Results: PSMA-Nb (~27 kDa) was enriched in Conclusion: The superior features of nanobodies support antibody-based diagnostics in solid tumors. Purified PSMA-Nb detected PSMA on cancer cells and FFPE tissues, indicating a promising tool for prostate cancer diagnosis.

Indexed as

Escherichia coliExpression optimizationImmunohistochemistryNanobodyPSMA

Identifiers

PMID42524079
PMCPMC13408249

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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.