Single-cell and spatially resolved transcriptomics for liver biology DOI
Ping Lin, Xi Yan, Siyu Jing

et al.

Hepatology, Journal Year: 2023, Volume and Issue: 80(3), P. 698 - 720

Published: April 1, 2023

Single-cell transcriptomics enables the identification of rare cell types and inference state transitions, whereas spatially resolved allows quantification cells genes in context tissues. The recent progress these new technologies is improving our understanding landscape its roles diseases. Here, we review key biological insights into liver homeostasis, development, regeneration, chronic disease, cancer obtained from single-cell transcriptomics. We highlight atlas that characterizes comprehensive cellular composition; diversity function; spatial architecture such as zonation, communication, proximity; identity conversion cell-specific alterations are associated with pathology; therapeutic targets. further discuss outstanding challenges, advanced experimental technologies, computational methods help to address challenges.

Language: Английский

Instrumentation at the Leading Edge of Proteomics DOI
Trenton M. Peters-Clarke, Joshua J. Coon, Nicholas M. Riley

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(20), P. 7976 - 8010

Published: May 13, 2024

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTInstrumentation at the Leading Edge of ProteomicsTrenton M. Peters-ClarkeTrenton Peters-ClarkeDepartment Chemistry, University Wisconsin─Madison, Madison, Wisconsin 53706, United StatesDepartment Biomolecular StatesMore by Trenton Peters-ClarkeView Biographyhttps://orcid.org/0000-0002-9153-2525, Joshua J. CoonJoshua CoonDepartment StatesMorgridge Institute for Research, 53715, CoonView Biographyhttps://orcid.org/0000-0002-0004-8253, and Nicholas Riley*Nicholas RileyDepartment Washington, Seattle, Washington 98195, States*Email: [email protected]More RileyView Biographyhttps://orcid.org/0000-0002-1536-2966Cite this: Anal. Chem. 2024, 96, 20, 7976–8010Publication Date (Web):May 13, 2024Publication History Received6 October 2023Accepted19 April 2024Revised17 2024Published online13 May inissue 21 2024https://pubs.acs.org/doi/10.1021/acs.analchem.3c04497https://doi.org/10.1021/acs.analchem.3c04497review-articleACS PublicationsCopyright © 2024 American Chemical SocietyRequest reuse permissionsArticle Views2104Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are COUNTER-compliant sum full text article downloads since November 2008 (both PDF HTML) across all institutions individuals. These metrics regularly updated to reflect usage leading up last few days.Citations number other articles citing this article, calculated Crossref daily. Find more information about citation counts.The Altmetric Attention Score is a quantitative measure attention that research has received online. Clicking on donut icon will load page altmetric.com with additional details score social media presence given article. how calculated. Share Add toView InAdd Full Text ReferenceAdd Description ExportRISCitationCitation abstractCitation referencesMore Options onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Dissociation,Ions,Mass spectrometry,Peptides proteins,Proteomics Get e-Alerts

Language: Английский

Citations

24

Mass spectrometry imaging for spatially resolved multi-omics molecular mapping DOI Creative Commons
Hua Zhang,

K. Lu,

Malik Ebbini

et al.

npj Imaging, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 17, 2024

Abstract The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter biological research. Mapping landscape various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions pathways believed to provide more holistic nuanced exploration molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as forefront technique spatially mapping metabolome, lipidome, proteome diverse tissue cell samples. In this review, we offer systematic survey delineating different MSI techniques resolved analysis, elucidating principles, capabilities, limitations. Particularly, focus on advancements methodologies aimed at augmenting sensitivity specificity MSI; depict burgeoning MSI-based metabolomics, lipidomics, proteomics, encompassing synergy with other modalities. Furthermore, speculative insights into potential trajectory technology future.

Language: Английский

Citations

20

Recent Analytical Methodologies in Lipid Analysis DOI Open Access
Ivana Gerhardtová, Timotej Jankech, Petra Majerová

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(4), P. 2249 - 2249

Published: Feb. 13, 2024

Lipids represent a large group of biomolecules that are responsible for various functions in organisms. Diseases such as diabetes, chronic inflammation, neurological disorders, or neurodegenerative and cardiovascular diseases can be caused by lipid imbalance. Due to the different stereochemical properties composition fatty acyl groups molecules most classes, quantification lipids development lipidomic analytical techniques problematic. Identification species from complex matrices is difficult, therefore individual steps, which include extraction, separation, detection lipids, must chosen properly. This review critically documents recent strategies analysis sample pretreatment instrumental data interpretation published last five years (2019 2023). The advantages disadvantages extraction methods covered. step comprises identification quantification. Mass spectrometry (MS) used technique analysis, performed direct infusion MS approach combination with suitable separation liquid chromatography gas chromatography. Special attention also given correct evaluation obtained analyses. Only accurate, precise, robust reliable able bring useful information, may contribute clarification some at molecular level, putative biomarkers and/or therapeutic targets.

Language: Английский

Citations

18

Spatial metabolomics and feature-based molecular networking to unveiling in-situ quality markers landscape and reflecting geographic origins of pomegranate seeds DOI

Yuye Gao,

Tian Tian,

Xiaojing Liu

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 142761 - 142761

Published: Jan. 1, 2025

Language: Английский

Citations

2

Using mass spectrometry imaging to map fluxes quantitatively in the tumor ecosystem DOI Creative Commons
Michaela Schwaiger-Haber, Ethan Stancliffe, Dhanalakshmi S. Anbukumar

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: May 19, 2023

Abstract Tumors are comprised of a multitude cell types spanning different microenvironments. Mass spectrometry imaging (MSI) has the potential to identify metabolic patterns within tumor ecosystem and surrounding tissues, but conventional workflows have not yet fully integrated breadth experimental techniques in metabolomics. Here, we combine MSI, stable isotope labeling, spatial variant Isotopologue Spectral Analysis map distributions metabolite abundances, nutrient contributions, turnover fluxes across brains mice harboring GL261 glioma, widely used model for glioblastoma. When with combination ion mobility, desorption electrospray ionization, matrix assisted laser ionization reveals alterations multiple anabolic pathways. De novo fatty acid synthesis flux is increased by approximately 3-fold glioma relative healthy tissue. Fatty elongation elevated even higher at 8-fold tissue highlights importance elongase activity glioma.

Language: Английский

Citations

38

Spatial metabolomics principles and application to cancer research DOI Open Access
Mélanie Planque, Sebastian Igelmann, Ana Margarida Ferreira Campos

et al.

Current Opinion in Chemical Biology, Journal Year: 2023, Volume and Issue: 76, P. 102362 - 102362

Published: July 4, 2023

Language: Английский

Citations

37

Quantitative mass spectrometry imaging: therapeutics & biomolecules DOI Creative Commons
Joseph Holbrook,

Gabrielle E. Kemper,

Amanda B. Hummon

et al.

Chemical Communications, Journal Year: 2024, Volume and Issue: 60(16), P. 2137 - 2151

Published: Jan. 1, 2024

In this feature article, we discuss quantitative mass spectrometry imaging of therapeutics and biomolecules conducted by recent studies for matrix-assisted laser desorption/ionization (MALDI) desorption electrospray ionization (DESI) techniques.

Language: Английский

Citations

15

Chinmedomics: a potent tool for the evaluation of traditional Chinese medicine efficacy and identification of its active components DOI Creative Commons
Mengmeng Wang,

Fengting Yin,

Ling Kong

et al.

Chinese Medicine, Journal Year: 2024, Volume and Issue: 19(1)

Published: March 13, 2024

Abstract As an important part of medical science, Traditional Chinese Medicine (TCM) attracts much public attention due to its multi-target and multi-pathway characteristics in treating diseases. However, the limitations traditional research methods pose a dilemma for evaluation clinical efficacy, discovery active ingredients elucidation mechanism action. Therefore, innovative approaches that are line with TCM theory practice urgently needed. Chinmendomics, newly emerging strategy evaluating efficacy TCM, is proposed. This combines systems biology, serum pharmacochemistry bioinformatics evaluate holistic view by accurately identifying syndrome biomarkers monitoring their complex metabolic processes intervened finding agents associated course pharmacodynamic constructing bioinformatics-based correlation network model further reveal interaction between targets. In this article, we review recent progress Chinmedomics promote application modernisation internationalisation TCM.

Language: Английский

Citations

15

Spatial genomics: mapping human steatotic liver disease DOI
Kylie P. Matchett, J Paris, Sarah A. Teichmann

et al.

Nature Reviews Gastroenterology & Hepatology, Journal Year: 2024, Volume and Issue: 21(9), P. 646 - 660

Published: April 23, 2024

Language: Английский

Citations

11

Mass spectrometry imaging methods for visualizing tumor heterogeneity DOI Creative Commons
Kyle D. Duncan,

Helena Pětrošová,

Julian J. Lum

et al.

Current Opinion in Biotechnology, Journal Year: 2024, Volume and Issue: 86, P. 103068 - 103068

Published: Feb. 7, 2024

Profiling spatial distributions of lipids, metabolites, and proteins in tumors can reveal unique cellular microenvironments provide molecular evidence for cancer cell dysfunction proliferation. Mass spectrometry imaging (MSI) is a label-free technique that be used to map biomolecules situ. Here, we discuss current progress applying MSI uncover heterogeneity tumors. First, the analytical strategies profile small molecules are outlined, methods multimodal maximize biological information highlighted. Second, present summarize insights obtained by tumor tissue. Finally, important considerations designing experiments several challenges.

Language: Английский

Citations

9