English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Metabolomics: Going Deeper, Going Broader, Going Further

Moco, S., & Büscher, J. M. (2022). Metabolomics: Going Deeper, Going Broader, Going Further. Methods in Molecular Biology, 2554, 155-178. doi:10.1007/978-1-0716-2624-5_11.

Item is

Files

show Files
hide Files
:
10.1007_978-1-0716-2624-5_11.pdf (Publisher version), 6MB
 
File Permalink:
-
Name:
10.1007_978-1-0716-2624-5_11.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute of Immunobiology and Epigenetics, MFIB; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
2023
Copyright Info:
The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
License:
-

Locators

show
hide
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Moco, Sofia1, Author
Büscher, Jörg Martin2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_2243648              

Content

show
hide
Free keywords: Chromatography; Coverage; Identification; Mass spectrometry; Metabolomics; Omics integration
 Abstract: Metabolomics is a continuously dynamic field of research that is driven by demanding research questions and technological advances alike. In this review we highlight selected recent and ongoing developments in the area of mass spectrometry-based metabolomics. The field of view that can be seen through the metabolomics lens can be broadened by adoption of separation techniques such as hydrophilic interaction chromatography and ion mobility mass spectrometry (going broader). For a given biospecimen, deeper metabolomic analysis can be achieved by resolving smaller entities such as rare cell populations or even single cells using nano-LC and spatially resolved metabolomics or by extracting more useful information through improved metabolite identification in untargeted metabolomic experiments (going deeper). Integration of metabolomics with other (omics) data allows researchers to further advance in the understanding of the complex metabolic and regulatory networks in cells and model organisms (going further). Taken together, diverse fields of research from mechanistic studies to clinics to biotechnology applications profit from these technological developments.

Details

show
hide
Language(s): eng - English
 Dates: 2022-10-01
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/978-1-0716-2624-5_11
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Methods in Molecular Biology
  Other : Methods Mol. Biol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: US : Springer
Pages: - Volume / Issue: 2554 Sequence Number: - Start / End Page: 155 - 178 Identifier: ISSN: 1064-3745
CoNE: https://pure.mpg.de/cone/journals/resource/954927725544