Evidence map›Paper›PMID 40372676›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Using Single-Cell Raman Microspectroscopy to Profile Human Peripheral Blood Mononuclear Cells.

Elizabeth Gan, Megan Stoker, Edie Guo, Karl J Morten, Jiabao Xu

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

5 authors.

Elizabeth GanNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Megan StokerNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Edie GuoNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Karl J MortenNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK. karl.morten@wrh.ox.ac.uk.
Jiabao XuDivision of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A reliable, validated test would enhance our ability to treat and research chronic conditions. Early and accurate diagnosis would provide an entry point into clinical care, give access to benefits, remove the stigma associated with these conditions, and importantly, provide researchers with a fundamental tool they require to study these heterogeneous disorders. In this chapter, we describe how Raman microspectroscopy can be utilised to study the biology of peripheral blood mononuclear cells (PBMCs) isolated from human blood samples. Using machine learning approaches, the data generated can be used to attempt to separate different patient and control groups, subgroups within a patient cohort, and identify differences in intracellular metabolites which may provide clues about disease mechanisms.

Indexed as

Leukocytes, MononuclearSingle-Cell AnalysisSpectrum Analysis, RamanHumansMachine LearningMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)Peripheral blood mononuclear cells (PBMC’s)Raman spectroscopySingle cells

Identifiers

PMID40372676

What OpenQuestion holds

Textmetadata
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.