Evidence map›Paper›PMID 41648374›Full record

ArticlebioRxiv : the preprint server for biology2026

uSort-M: Scalable isolation of user-defined sequences from diverse pooled libraries.

Micah B Olivas, Patrick J Almhjell, Jack D Shanahan, Polly M Fordyce

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

4 authors.

Micah B OlivasDepartment of Genetics, Stanford University, Stanford, CA 94305.ORCID 0000-0002-5315-6303
Patrick J AlmhjellDepartment of Biochemistry, Stanford University, Stanford, CA 94305.ORCID 0000-0003-0977-841X
Jack D ShanahanDepartment of Genetics, Stanford University, Stanford, CA 94305.
Polly M FordyceDepartment of Genetics, Stanford University, Stanford, CA 94305.ORCID 0000-0002-9505-0638

Funding

Study of Nonenzymatic and Enzymatic Phosphoryl TransferR01GM064798 · NIGMS · STANFORD UNIVERSITY · PI Polly Morrell Fordyce, DANIEL HERSCHLAG · 2002 to 2026
$5.9M
Using microfluidics to realize patient-specific anti-cancer immunotherapiesDP1CA290563 · NCI · STANFORD UNIVERSITY · PI Polly Morrell Fordyce · 2023 to 2026
$5.4M
Dissecting enzyme function at scale using synergistic advances in microfluidics and genetic code expansionF32GM156066 · NIGMS · STANFORD UNIVERSITY · PI Patrick James Almhjell · 2025 to 2026
$155k
High-throughput thermodynamic and kinetic measurements for variant effects prediction in a major protein superfamilyF31HG013267 · NHGRI · STANFORD UNIVERSITY · PI OLIVAS, MICAH · 2023 to 2025
$133k
NCI NIH HHS DP1 CA290563NHGRI NIH HHS F31 HG013267NIGMS NIH HHS F32 GM156066NIGMS NIH HHS R01 GM064798
6 · The paper itself

Abstract

High-throughput sequencing and computational protein design have created a growing gap between the discovery of new proteins and their functional characterization. In many instances, functional characterization requires one-to-one measurements-such as when detailed biochemical insights are desired or pooled selections are not possible-necessitating that individual variants be isolated and assayed. A major barrier to closing this gap is the cost to directly synthesize individual genes, which remains prohibitively expensive ($10-100 per sequence) and restricts these studies to small subsets of relevant variants, leaving many sequences without functional annotation. To address this, we developed user-defined Sorted Mutants (uSort-M), which combines pooled DNA synthesis, automated cell sorting of transformed

Identifiers

PMID41648374
PMCPMC12871159

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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.