Evidence map›Paper›PMID 41001004›Full record

ArticlebioRxiv : the preprint server for biology2025

Library-Free Multiplexed Targeted Proteomics Enables Quantitative Protein-Level Genotyping.

Steven R Shuken, Steven P Gygi

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

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.

Steven R ShukenDepartment of Cell Biology, Harvard Medical School, 240 Longwood Ave, Boston, MA 02115, USA.ORCID 0000-0002-2782-2165
Steven P GygiDepartment of Cell Biology, Harvard Medical School, 240 Longwood Ave, Boston, MA 02115, USA.ORCID 0000-0001-7626-0034

Funding

New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
Validation and Kinetic Characterization of Blood-Cerebrospinal Fluid Barrier-Traversing Proteins in Aging With Library-Free Multiplexed Targeted ProteomicsK99AG088297 · NIA · HARVARD MEDICAL SCHOOL · PI SHUKEN, STEVEN ROBERT · 2024 to 2025
$250k
NIA NIH HHS K99 AG088297NIGMS NIH HHS R01 GM067945
6 · The paper itself

Abstract

Existing targeted mass spectrometry methods require synthetic standard peptides, manual scan scheduling, or data libraries to quantify target proteins. Here we present GoDig-LiF, which uses spectra and retention times predicted by the Prosit-TMT model in place of data libraries, enabling targeted proteomics with only a tandem mass tag-labeled sample, target list, and mass spectrometer. We applied GoDig-LiF to the quantification of mutated proteins in cancer cell lines, including KRAS G13D.

Identifiers

PMID41001004
PMCPMC12458936

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.