Evidence map›Paper›PMID 41769256›Full record

ArticleBio-protocol2026

Orthogonal Temperature-Related Intensity Change and Time-Resolved Förster Resonance Energy Transfer High-Throughput Screening Platform for the Discovery of SLIT2 Binders.

Nelson García-Vázquez, Somaya A Abdel-Rahman, Moustafa T Gabr

Abstract read
In one paragraph

Article in Bio-protocol, 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
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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

3 authors.

Nelson García-VázquezDepartment of Radiology, Molecular Imaging Innovations Institute (MI3), Weill Cornell Medicine, New York, NY, USA.
Somaya A Abdel-RahmanDepartment of Radiology, Molecular Imaging Innovations Institute (MI3), Weill Cornell Medicine, New York, NY, USA.
Moustafa T GabrDepartment of Radiology, Molecular Imaging Innovations Institute (MI3), Weill Cornell Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SLIT2 is a secreted glycoprotein implicated in axon guidance, immune modulation, and tumor biology, whose extracellular and glycosylated nature can complicate conventional biophysical screening workflows. Here, we provide a complete, step-by-step protocol for an orthogonal high-throughput discovery pipeline that integrates temperature-related intensity change (TRIC) as a solution-based primary binding screen with time-resolved Förster resonance energy transfer (TR-FRET, homogeneous time-resolved fluorescence format) as a functional assay for inhibition of the SLIT2-ROBO1 interaction. The workflow is designed to be fast and convenient, uses low reaction volumes and low nanomolar protein concentrations to minimize material use, and includes built-in quality control steps to support reproducible hit triage. In TRIC (NanoTemper Dianthus), binding is detected as temperature-dependent fluorescence intensity changes of a labeled target protein under an infrared (IR)-mediated thermal gradient, enabling immobilization-free detection of small-molecule interactions and instrument-assisted filtering of autofluorescent, quenching, or aggregating compounds. Candidate binders are advanced to multi-point TRIC/microscale thermophoresis (MST) measurements on Monolith X to determine binding affinity (Kd). In TR-FRET, disruption of SLIT2-ROBO1 association is quantified by changes in the ratiometric 665/620 nm emission readout, measured with a time delay to suppress short-lived background fluorescence, enabling concentration-response analysis and reporting of relative IC

Indexed as

Assay developmentBexaroteneHigh-throughput screeningProtein–protein interactionsROBO1SLIT2TR-FRETTRIC

Identifiers

PMID41769256
PMCPMC12945564

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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.