scPROTEIN: a versatile deep graph contrastive learning framework for single-cell proteomics embedding DOI
Wei Li, Fan Yang, Fang Wang

и другие.

Nature Methods, Год журнала: 2024, Номер 21(4), С. 623 - 634

Опубликована: Март 19, 2024

Язык: Английский

Fiber-Type Shifting in Sarcopenia of Old Age: Proteomic Profiling of the Contractile Apparatus of Skeletal Muscles DOI Open Access
Paul Dowling, Stephen Gargan, Dieter Swandulla

и другие.

International Journal of Molecular Sciences, Год журнала: 2023, Номер 24(3), С. 2415 - 2415

Опубликована: Янв. 26, 2023

The progressive loss of skeletal muscle mass and concomitant reduction in contractile strength plays a central role frailty syndrome. Age-related neuronal impairments are closely associated with sarcopenia the elderly, which is characterized by severe muscular atrophy that can considerably lessen overall quality life at old age. Mass-spectrometry-based proteomic surveys senescent human muscles, as well animal models sarcopenia, have decisively improved our understanding molecular cellular consequences fiber-type shifting during aging. This review outlines spectrometric identification proteome-wide changes atrophying focus on proteins potential markers distribution patterns. observed trend fast-to-slow transitions individual muscles aging process most likely linked to preferential susceptibility fast-twitching fibers atrophy. Studies models, including mostly aged rodent confirmed shifting. analysis fast versus slow isoforms key proteins, such myosin heavy chains, light actins, troponins tropomyosins, suggests them suitable bioanalytical tools

Язык: Английский

Процитировано

45

A review of the current state of single-cell proteomics and future perspective DOI Creative Commons
Rushdy Ahmad, Bogdan Budnik

Analytical and Bioanalytical Chemistry, Год журнала: 2023, Номер 415(28), С. 6889 - 6899

Опубликована: Июнь 7, 2023

Abstract Single-cell methodologies and technologies have started a revolution in biology which until recently has primarily been limited to deep sequencing imaging modalities. With the advent subsequent torrid development of single-cell proteomics over last 5 years, despite fact that proteins cannot be amplified like transcripts, it now become abundantly clear is worthy complement transcriptomics. In this review, we engage an assessment current state art including workflow, sample preparation techniques, instrumentation, biological applications. We investigate challenges associated with working very small volumes acute need for robust statistical methods data interpretation. delve into what believe promising future research at resolution highlight some exciting discoveries already made using proteomics, identification rare cell types, characterization cellular heterogeneity, investigation signaling pathways disease mechanisms. Finally, acknowledge there are number outstanding pressing problems scientific community vested advancing technology needs resolve. Of prime importance set standards so becomes widely accessible allowing novel easily verifiable. conclude plea solve these rapidly can part robust, high-throughput, scalable multi-omics platform ubiquitously applied elucidating insights diagnosis treatment all diseases afflict us.

Язык: Английский

Процитировано

44

Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell DOI Creative Commons
Yu Wang,

Zhi-Ying Guan,

Shao-Wen Shi

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Фев. 10, 2024

Abstract The shotgun proteomic analysis is currently the most promising single-cell protein sequencing technology, however its identification level of ~1000 proteins per cell still insufficient for practical applications. Here, we develop a pick-up (PiSPA) workflow to achieve deep capable quantifying up 3000 groups in mammalian using label-free quantitative method. PiSPA specially established samples mainly based on nanoliter-scale microfluidic liquid handling robot, achieving capture, pretreatment and injection under operation strategy. Using this customized with remarkable improvement identification, 2449–3500, 2278–3257 1621–2904 are quantified single A549 cells ( n = 37), HeLa 44) U2OS 27) DIA (MBR) mode, respectively. Benefiting from flexible picking-up ability, study migration at proteome level, demonstrating potential biological research insight.

Язык: Английский

Процитировано

26

Top-down proteomics DOI
David S. Roberts, Joseph A. Loo, Yury O. Tsybin

и другие.

Nature Reviews Methods Primers, Год журнала: 2024, Номер 4(1)

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

17

MYC multimers shield stalled replication forks from RNA polymerase DOI
Daniel Solvie, Apoorva Baluapuri, Leonie Uhl

и другие.

Nature, Год журнала: 2022, Номер 612(7938), С. 148 - 155

Опубликована: Ноя. 23, 2022

Язык: Английский

Процитировано

58

Scaling Up Single-Cell Proteomics DOI Creative Commons
Nikolai Slavov

Molecular & Cellular Proteomics, Год журнала: 2021, Номер 21(1), С. 100179 - 100179

Опубликована: Ноя. 20, 2021

Single-cell tandem MS has enabled analyzing hundreds of single cells per day and quantifying thousands proteins across the cells. The broad dissemination these capabilities can empower dissection pathophysiological mechanisms in heterogeneous tissues. Key requirements for achieving this goal include robust protocols performed on widely accessible hardware, quality controls, community standards, automated data analysis pipelines that pinpoint analytical problems facilitate their timely resolution. Toward meeting requirements, perspective outlines both existing resources outstanding opportunities, such as parallelization, catalyzing wide quantitative single-cell proteomics be scaled up to tens Indeed, simultaneous parallelization peptides is a promising approach multiplicative increase speed performing deep proteomics. ready begin virtuous cycle increased adoption fueling development more technology turn drive broader adoption, scientific discoveries, clinical applications.

Язык: Английский

Процитировано

56

Recent advances in isobaric labeling and applications in quantitative proteomics DOI

Michael K. Sivanich,

Ting‐Jia Gu, Dylan Nicholas Tabang

и другие.

PROTEOMICS, Год журнала: 2022, Номер 22(19-20)

Опубликована: Июнь 10, 2022

Mass spectrometry (MS) has emerged at the forefront of quantitative proteomic techniques. Liquid chromatography-mass (LC-MS) can be used to determine abundances proteins and peptides in complex biological samples. Several methods have been developed adapted for accurate quantification based on chemical isotopic labeling. Among various labeling techniques, isobaric tagging approaches rely analysis from MS2-based rather than MS1-based quantification. In this review, we will provide an overview several tags along with some recent developments including complementary ion tags, improvements sensitive quantitation analytes lower abundance, strategies increase multiplexing capabilities, targeted strategies. We also discuss limitations alleviate these restrictions through bioinformatic tools data acquisition methods. This review highlight applications biomarker discovery validation, thermal proteome profiling, cross-linking structural investigations, single-cell analysis, top-down proteomics, different molecules neuropeptides, glycans, metabolites, lipids, while providing considerations evaluations each application.

Язык: Английский

Процитировано

56

High-end ion mobility mass spectrometry: A current review of analytical capacity in omics applications and structural investigations DOI Creative Commons
Daniel G. Delafield, Gaoyuan Lu, Cameron J. Kaminsky

и другие.

TrAC Trends in Analytical Chemistry, Год журнала: 2022, Номер 157, С. 116761 - 116761

Опубликована: Авг. 24, 2022

Язык: Английский

Процитировано

52

Label‐free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing DOI Creative Commons
Manuel Matzinger, Rupert L. Mayer, Karl Mechtler

и другие.

PROTEOMICS, Год журнала: 2023, Номер 23(13-14)

Опубликована: Фев. 19, 2023

The ability to map a proteomic fingerprint transcriptomic data would master the understanding of how gene expression translates into actual phenotype. In contrast nucleic acid sequencing, in vitro protein amplification is impossible and no single cell workflow has been established as gold standard yet. Advances microfluidic sample preparation, multi-dimensional separation, sophisticated acquisition strategies, intelligent analysis algorithms have resulted major improvements successfully analyze such tiny amounts with steadily boosted performance. However, among broad variation published approaches, it commonly accepted that highest possible sensitivity, robustness, throughput are still most urgent needs for field. While many labs focused on multiplexing achieve these goals, label-free SCP highly promising strategy well whenever high dynamic range unbiased accurate quantification needed. We here focus recent advances single-cell mass spectrometry workflows try guide our readers choose best method or combinations methods their specific applications. further highlight which techniques propitious future applications but also limitations we foresee

Язык: Английский

Процитировано

38

Critical considerations in N-glycoproteomics DOI
The Huong Chau, Anastasia Chernykh, Rebeca Kawahara

и другие.

Current Opinion in Chemical Biology, Год журнала: 2023, Номер 73, С. 102272 - 102272

Опубликована: Фев. 7, 2023

Язык: Английский

Процитировано

37