Evidence map›Paper›PMID 42380603›Full record

ReviewNature protocols2026

High-throughput measurements of protein domain functions using magnetic separation.

Abby R Thurm, Josh Tycko, Connor H Ludwig, Mark Ragheb, Nicole DelRosso, Gaelen T Hess, Michael C Bassik, Lacramioara Bintu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 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

8 authors.

Abby R ThurmBiophysics Graduate Program, Stanford University School of Medicine, Stanford, CA, USA.
Josh TyckoDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA. joshtycko@hms.harvard.edu.
Connor H LudwigOctant, Inc., Emeryville, CA, USA.
Mark RaghebDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Nicole DelRossoDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, USA. nicole.delrosso@ucsf.edu.
Gaelen T HessDepartment of Biomolecular Chemistry, Center for Precision Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA. ghess3@wisc.edu.
Michael C BassikDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5185-8427
Lacramioara BintuDepartment of Bioengineering, Stanford University, Stanford, CA, USA. lbintu@stanford.edu.ORCID http://orcid.org/0000-0001-5443-6633

Funding

High-throughput development and characterization of compact tools for transcriptional and chromatin perturbationsR01HG011866 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL C BASSIK, Lacramioara Bintu · 2021 to 2026
$6.9M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) DP5OD039380Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NIH-4K00DK126120-03Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NIH-NCI F30CA287739-01NHGRI NIH HHS R01 HG011866U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) NIH-NHGRI R01HG011866U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) NIH-NIGMS MIRA R35GM150462
6 · The paper itself

Abstract

High-throughput screening of protein domains enables the systematic discovery of protein sequences that encode specific cellular functions. Fluorescence-activated cell sorting-based assays have long been the standard readout for such screens but remain time- and resource-intensive, imposing practical limits on library size and coverage. Here we describe a scalable magnetic separation-based workflow that provides an alternative to fluorescence-activated cell sorting for screening large protein libraries in mammalian cells. We engineered a modular synthetic surface marker, consisting of a fusion between the fragment crystallizable (Fc) region of human immunoglobulin G and the transmembrane domain of platelet-derived growth factor receptor-β, that allows cells to be magnetically separated on the basis of surface reporter expression using Protein G-coated magnetic beads. The procedure covers pooled library cloning, lentiviral delivery, magnetic separation and sequencing-based quantification, enabling reproducible screening of more than 100,000 protein domain variants. The approach is suitable for the identification of functional protein domains capable of transcriptional and post-transcriptional RNA regulation and may lead to the selection of improved transmembrane domains for efficient protein surface display. The entire workflow, from library design to data analysis, can be completed in 4-6 weeks and requires skills in cell culture, molecular cloning and computational techniques. This scalable and accessible Protocol enables researchers to systematically measure protein domain functions across biological contexts, thus accelerating both biological discovery and protein engineering.

Identifiers

PMID42380603

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.