Evidence map›Paper›PMID 38744720›Full record

ArticleAnalytical and bioanalytical chemistry2024

On the utility of ultrafast MS1-only proteomics in drug target discovery studies based on thermal proteome profiling method.

Ivan I Fedorov, Julia A Bubis, Elizaveta M Kazakova, Anna A Lobas, Mark V Ivanov, Daria D Emekeeva, Irina A Tarasova, Alexey A Nazarov, Mikhail V Gorshkov

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Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ivan I FedorovV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Julia A BubisV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Elizaveta M KazakovaV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Anna A LobasV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Mark V IvanovV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Daria D EmekeevaV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Irina A TarasovaV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia.
Alexey A NazarovFaculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1/3, 119991, Moscow, Russia.
Mikhail V GorshkovV. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Leninsky Pr. 38, Bld.2, 119334, Moscow, Russia. mike.gorshkov@gmail.com.ORCID http://orcid.org/0000-0001-9572-3452

Funding

Russian Science Foundation 20-14-00229
6 · The paper itself

Abstract

Advances in high-throughput high-resolution mass spectrometry and the development of thermal proteome profiling approach (TPP) have made it possible to accelerate a drug target search. Since its introduction in 2014, TPP quickly became a method of choice in chemical proteomics for identifying drug-to-protein interactions on a proteome-wide scale and mapping the pathways of these interactions, thus further elucidating the unknown mechanisms of action of a drug under study. However, the current TPP implementations based on tandem mass spectrometry (MS/MS), associated with employing lengthy peptide separation protocols and expensive labeling techniques for sample multiplexing, limit the scaling of this approach for the ever growing variety of drug-to-proteomes. A variety of ultrafast proteomics methods have been developed in the last couple of years. Among them, DirectMS1 provides MS/MS-free quantitative proteome-wide analysis in 5-min time scale, thus opening the way for sample-hungry applications, such as TPP. In this work, we demonstrate the first implementation of the TPP approach using the ultrafast proteome-wide analysis based on DirectMS1. Using a drug topotecan, which is a known topoisomerase I (TOP1) inhibitor, the feasibility of the method for identifying drug targets at the whole proteome level was demonstrated for an ovarian cancer cell line.

Indexed as

Drug DiscoveryProteomeProteomicsTandem Mass SpectrometryCell Line, TumorHumansProteomeChemical proteomicsDrug targetsThermal proteome profilingUltra-short gradient HPLC–MS

Identifiers

PMID38744720

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