Evidence map›Paper›PMID 41676720›Full record

ArticlebioRxiv : the preprint server for biology2026

Single-Cell Proteomics of Human Peripheral Blood Mononuclear Cells Exceeding 600 Cells per Day.

James M Fulcher, Yumi Kwon, Pranav Dawar, Rashmi Kumar, Sarah M Williams, Patricia Miller, Andrey Liyu, Liang Chen, Daniel J Orton, Heather M Olson and 8 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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

18 authors.

James M FulcherEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0001-9033-3623
Yumi KwonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Pranav DawarEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-3637-6363
Rashmi KumarEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0001-8994-5091
Sarah M WilliamsEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Patricia MillerEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Andrey LiyuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Liang ChenEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Daniel J OrtonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Heather M OlsonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Alexey I NesvizhskiiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Julie FortierDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Ravi VijDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Reyka JayasingheDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Li DingDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-5416-0566
Ljiljana Paša-TolićEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0001-9853-5457

Funding

Massive single cell proteomics for cancer biologyR01CA272377 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI PASA-TOLIC, LJILJANA · 2022 to 2024
$1.9M
NCI NIH HHS R01 CA272377
6 · The paper itself

Abstract

Single-cell proteomic (scProteomic) measurements of peripheral blood mononuclear cells (PBMCs) are of considerable value in human health, given their involvement in the maintenance of healthy and diseased states. However, the high heterogeneity and relatively small size of immune cell types demand maximal throughput and sensitivity in proteomic measurements that have yet to be fully realized. Here, we describe an approach that addresses sensitivity and throughput through the implementation of Real-Time spectral Library Searching (RTLS), TMTpro 32-plex labelling, an updated nested-nanodroplet processing in One pot for Trace Samples (N2), and a dual-column liquid chromatography system. By prioritizing tandem mass spectrometry (MS2) features with high similarity to library spectra, RTLS enables greater identification depth and feature reproducibility than a standard shotgun MS2 approach in low-input and single-cell samples. The platform permitted 660 single PBMCs to be measured per day, with an average of 750 protein identifications per cell and 1,648 proteins in total, achieving the necessary throughput and depth to characterize immune cell populations. Application of this scProteomic method and a new cell typing informatics approach to 2,130 PBMCs enabled the identification of both major and low-frequency cell types (~1-2%), as well as associated proteomic markers.

Indexed as

nanoPOTSPBMCsreal-time spectral library searchingsingle-cell proteomicsTMTpro

Identifiers

PMID41676720
PMCPMC12889610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.