Evidence map›Paper›PMID 41394598›Full record

ArticlebioRxiv : the preprint server for biology2025

Engineering a Bright Near-Infrared Fluorescent Protein by Screening a Comprehensive Phenotypic Landscape.

Devon L Kulhanek, Qiyao Wei, Jared Head, Jessica Hellinger, Zach Jansen, Andrew Gilmour, Thomas Segall-Shapiro, Jennifer S Brodbelt, Syed Muhammad Usama, Ross Thyer

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

10 authors.

Devon L KulhanekDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX.ORCID 0000-0002-7212-9802
Qiyao WeiDepartment of Bioengineering, Rice University, Houston, TX.ORCID 0000-0002-1147-6405
Jared HeadDepartment of Chemistry, The University of Texas at San Antionio, San Antonio, TX.
Jessica HellingerDepartment of Chemistry, The University of Texas at Austin, Austin, TX.ORCID 0000-0002-3664-7856
Zach JansenSystems, Synthetic, and Physical Biology, Rice University, Houston, TX.ORCID 0000-0001-9866-6465
Andrew GilmourSystems, Synthetic, and Physical Biology, Rice University, Houston, TX.ORCID 0000-0001-8422-2863
Thomas Segall-ShapiroDepartment of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston, TX.ORCID 0000-0001-9364-6537
Jennifer S BrodbeltDepartment of Chemistry, The University of Texas at Austin, Austin, TX.ORCID 0000-0003-3207-0217
Syed Muhammad UsamaDepartment of Chemistry, The University of Texas at San Antionio, San Antonio, TX.ORCID 0000-0002-7487-1568
Ross ThyerDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX.ORCID 0000-0002-0356-5790

Funding

Ultraviolet Photodissociation Mass Spectrometry for Characterization of Biological MoleculesR35GM139658 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2021 to 2025
$2.9M
NIGMS NIH HHS R35 GM139658
6 · The paper itself

Abstract

Near-infrared fluorescent proteins (niRFPs) are valuable markers for tracking cellular phenomena as they offer greater imaging depth, lower background, and minimal invasiveness relative to other fluorescent probes. The small ultra red fluorescent protein (smURFP) is the brightest niRFP currently reported and has been the subject of several mutagenesis studies to improve its biophysical characteristics. Here, we demonstrate a systematic approach to exploring the mutational landscape of smURFP using a comprehensive deep mutational scanning (DMS) library to identify novel smURFP mutations which confer greater

Identifiers

PMID41394598
PMCPMC12697351

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.