Evidence map›Paper›PMID 39735930›Full record

ArticleJACS Au2024

Chemically Induced Dimerization via Nanobody Binding Facilitates in Situ Ligand Assembly and On-Demand GPCR Activation.

Shubhra Jyoti Saha, Ross W Cheloha

Abstract read
In one paragraph

Article in JACS Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

2 authors.

Shubhra Jyoti SahaLaboratory of Bioorganic Chemistry, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.
Ross W ChelohaLaboratory of Bioorganic Chemistry, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, United States.ORCID https://orcid.org/0000-0001-9871-8333

Funding

New tools from chemistry and antibodies to address receptor functionZIADK075157 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHELOHA, ROSS · 2021 to 2025
$6.6M
Development of new antibody-fusion inhibitor conjugates to block HIV infectionZIADK075184 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHELOHA, ROSS · 2024 to 2025
$2.1M
Intramural NIH HHS ZIA DK075157Intramural NIH HHS ZIA DK075184
6 · The paper itself

Abstract

Methods that enable the on-demand synthesis of biologically active molecules offer the potential for a high degree of control over the timing and context of target activation; however, such approaches often require extensive engineering to implement. Tools to restrict the localization of assembly also remain limited. Here we present a new approach for stimulus-induced ligand assembly that helps to address these challenges. This methodology relies on the high affinity and specificity recognition exhibited by antibody fragments (nanobodies, Nbs). By using Nbs that recognize short peptide epitopes to create semisynthetic conjugates, we develop a bioengineering platform termed peptide epitope dimerization (PED) in which the addition of heterodimeric peptide composed of two Nb epitopes stimulates the proximity-induced synthesis of a functional ligand for the parathyroid hormone receptor-1, a G protein-coupled receptor. We further demonstrate that high efficiency assembly can be achieved on the cell surface via Nb-based delivery of template. This approach opens the door for the on-demand generation of bioactive receptor ligands preferentially at a desired biological niche.

Identifiers

PMID39735930
PMCPMC11673187

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.