Literature DB >> 36181583

Single cell metabolism: current and future trends.

Ahmed Ali1, Shawn Davidson2, Ernest Fraenkel3, Ian Gilmore4, Thomas Hankemeier5, Jennifer A Kirwan6, Andrew N Lane7, Ingela Lanekoff8, Mioara Larion9, Laura-Isobel McCall10, Michael Murphy11, Jonathan V Sweedler12, Caigang Zhu13.   

Abstract

Single cell metabolomics is an emerging and rapidly developing field that complements developments in single cell analysis by genomics and proteomics. Major goals include mapping and quantifying the metabolome in sufficient detail to provide useful information about cellular function in highly heterogeneous systems such as tissue, ultimately with spatial resolution at the individual cell level. The chemical diversity and dynamic range of metabolites poses particular challenges for detection, identification and quantification. In this review we discuss both significant technical issues of measurement and interpretation, and progress toward addressing them, with recent examples from diverse biological systems. We provide a framework for further directions aimed at improving workflow and robustness so that such analyses may become commonly applied, especially in combination with metabolic imaging and single cell transcriptomics and proteomics.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Metabolic imaging; Single cell metabolism; Spatial metabolomics

Mesh:

Year:  2022        PMID: 36181583     DOI: 10.1007/s11306-022-01934-3

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.747


  163 in total

Review 1.  Single-cell and spatial transcriptomics approaches of the bone marrow microenvironment.

Authors:  Jude Al-Sabah; Chiara Baccin; Simon Haas
Journal:  Curr Opin Oncol       Date:  2020-03       Impact factor: 3.645

2.  A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart.

Authors:  Michaela Asp; Stefania Giacomello; Ludvig Larsson; Chenglin Wu; Daniel Fürth; Xiaoyan Qian; Eva Wärdell; Joaquin Custodio; Johan Reimegård; Fredrik Salmén; Cecilia Österholm; Patrik L Ståhl; Erik Sundström; Elisabet Åkesson; Olaf Bergmann; Magda Bienko; Agneta Månsson-Broberg; Mats Nilsson; Christer Sylvén; Joakim Lundeberg
Journal:  Cell       Date:  2019-12-12       Impact factor: 41.582

3.  Metabolomics enables precision medicine: "A White Paper, Community Perspective".

Authors:  Richard D Beger; Warwick Dunn; Michael A Schmidt; Steven S Gross; Jennifer A Kirwan; Marta Cascante; Lorraine Brennan; David S Wishart; Matej Oresic; Thomas Hankemeier; David I Broadhurst; Andrew N Lane; Karsten Suhre; Gabi Kastenmüller; Susan J Sumner; Ines Thiele; Oliver Fiehn; Rima Kaddurah-Daouk
Journal:  Metabolomics       Date:  2016-09-02       Impact factor: 4.290

4.  Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing.

Authors:  Michael Bartoschek; Nikolay Oskolkov; Matteo Bocci; John Lövrot; Christer Larsson; Mikael Sommarin; Chris D Madsen; David Lindgren; Gyula Pekar; Göran Karlsson; Markus Ringnér; Jonas Bergh; Åsa Björklund; Kristian Pietras
Journal:  Nat Commun       Date:  2018-12-04       Impact factor: 14.919

5.  Live single cell mass spectrometry reveals cancer-specific metabolic profiles of circulating tumor cells.

Authors:  Yasmine Abouleila; Kaoru Onidani; Ahmed Ali; Hirokazu Shoji; Takayuki Kawai; Chwee Teck Lim; Vipin Kumar; Shinobu Okaya; Ken Kato; Eiso Hiyama; Toshio Yanagida; Tsutomu Masujima; Yoshihiro Shimizu; Kazufumi Honda
Journal:  Cancer Sci       Date:  2019-01-05       Impact factor: 6.716

6.  Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization.

Authors:  Chiara Baccin; Jude Al-Sabah; Lars Velten; Patrick M Helbling; Florian Grünschläger; Pablo Hernández-Malmierca; César Nombela-Arrieta; Lars M Steinmetz; Andreas Trumpp; Simon Haas
Journal:  Nat Cell Biol       Date:  2019-12-23       Impact factor: 28.824

7.  Batch Effects in MALDI Mass Spectrometry Imaging.

Authors:  Benjamin Balluff; Carsten Hopf; Tiffany Porta Siegel; Heike I Grabsch; Ron M A Heeren
Journal:  J Am Soc Mass Spectrom       Date:  2021-02-01       Impact factor: 3.109

Review 8.  MALDI imaging mass spectrometry: statistical data analysis and current computational challenges.

Authors:  Theodore Alexandrov
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

9.  Patch clamp electrophysiology and capillary electrophoresis-mass spectrometry metabolomics for single cell characterization.

Authors:  Jordan T Aerts; Kathleen R Louis; Shane R Crandall; Gubbi Govindaiah; Charles L Cox; Jonathan V Sweedler
Journal:  Anal Chem       Date:  2014-03-06       Impact factor: 6.986

10.  SCENIC: single-cell regulatory network inference and clustering.

Authors:  Sara Aibar; Carmen Bravo González-Blas; Thomas Moerman; Vân Anh Huynh-Thu; Hana Imrichova; Gert Hulselmans; Florian Rambow; Jean-Christophe Marine; Pierre Geurts; Jan Aerts; Joost van den Oord; Zeynep Kalender Atak; Jasper Wouters; Stein Aerts
Journal:  Nat Methods       Date:  2017-10-09       Impact factor: 28.547

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