Evidence map›Paper›PMID 36979087›Full record

ReviewBiology2023

Advances in Mass Spectrometry-Based Single Cell Analysis.

Siheun Lee, Hung M Vu, Jung-Hyun Lee, Heejin Lim, Min-Sik Kim

Open access · goldFull text readReview
In one paragraph

Review in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Siheun LeeSchool of Undergraduate Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Hung M VuDepartment of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.ORCID 0000-0001-9353-5933
Jung-Hyun LeeDepartment of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Heejin LimCenter for Scientific Instrumentation, Korea Basic Science Institute (KBSI), Cheongju 28119, Republic of Korea.ORCID 0000-0002-5436-709X
Min-Sik KimDepartment of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.ORCID 0000-0001-7317-5360
Daegu Gyeongbuk Institute of Science and Technology · KRKorea Basic Science Institute · KR

Funding

Daegu Gyeongbuk Institute of Science and Technology 22-CoE-BT-04Korea Basic Science Institute C230210Korea Food Research Institute E0210602-02National Research Foundation of Korea 2021R1C1C2010928; 2021R1A4A1032114; 2022R1A2C2013377
6 · The paper itself

Abstract

Technological developments and improvements in single-cell isolation and analytical platforms allow for advanced molecular profiling at the single-cell level, which reveals cell-to-cell variation within the admixture cells in complex biological or clinical systems. This helps to understand the cellular heterogeneity of normal or diseased tissues and organs. However, most studies focused on the analysis of nucleic acids (e.g., DNA and RNA) and mass spectrometry (MS)-based analysis for proteins and metabolites of a single cell lagged until recently. Undoubtedly, MS-based single-cell analysis will provide a deeper insight into cellular mechanisms related to health and disease. This review summarizes recent advances in MS-based single-cell analysis methods and their applications in biology and medicine.

Indexed as

mass spectrometrymass spectrometry imagingmetabolomicsproteomicssingle-cell analysis

Identifiers

PMID36979087
PMCPMC10045136
OpenAlexW4323046742

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read7
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 Socratic graph.