Evidence map›Paper›PMID 37305273›Full record

ArticleACS omega2023

One-STAGE Tip Method for TMT-Based Proteomic Analysis of a Minimal Amount of Cells.

Narae Park, Hankyul Lee, Yumi Kwon, Shinyeong Ju, Seonjeong Lee, Seongjin Yoo, Kang-Sik Park, Cheolju Lee

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Narae ParkChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Hankyul LeeChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Yumi KwonChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.ORCID https://orcid.org/0000-0003-0523-6197
Shinyeong JuChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.ORCID https://orcid.org/0000-0001-5483-4690
Seonjeong LeeChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Seongjin YooChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Kang-Sik ParkKHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea.
Cheolju LeeChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.ORCID https://orcid.org/0000-0001-8482-4696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid chromatography-tandem mass spectrometry (LC-MS)-based profiling of proteomes with isobaric tag labeling from low-quantity biological and clinical samples, including needle-core biopsies and laser capture microdissection, has been challenging due to the limited amount and sample loss during preparation. To address this problem, we developed OnM (On-Column from Myers et al. and mPOP)-modified on-column method combining freeze-thaw lysis of mPOP with isobaric tag labeling of On-Column method to minimize sample loss. OnM is a method that processes the sample in one-STAGE tip from cell lysis to tandem mass tag (TMT) labeling without any transfer of the sample. In terms of protein coverage, cellular components, and TMT labeling efficiency, the modified On-Column (or OnM) displayed similar performance to the results from Myers et al. To evaluate the lower-limit processing capability of OnM, we utilized OnM for multiplexing and were able to quantify 301 proteins in a TMT 9-plex with 50 cells per channel. We optimized the method as low as 5 cells per channel in which we identified 51 quantifiable proteins. OnM method is a low-input proteomics method widely applicable and capable of identifying and quantifying proteomes from limited samples, with tools that are readily available in a majority of proteomic laboratories.

Identifiers

PMID37305273
PMCPMC10249390

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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.