A roadmap for interpreting 13C metabolite labeling patterns from cells
Measuring intracellular metabolism has increasingly led to important insights in biomedical research. [superscript 13]C tracer analysis, although less information-rich than quantitative [superscript 13]C flux analysis that requires computational data integration, has been established as a time-effic...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier
2017
|
| Online Access: | http://hdl.handle.net/1721.1/107921 https://orcid.org/0000-0001-6909-4568 |
| _version_ | 1826201656127127552 |
|---|---|
| author | Stephanopoulos, Gregory |
| author2 | Massachusetts Institute of Technology. Department of Chemical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Chemical Engineering Stephanopoulos, Gregory |
| author_sort | Stephanopoulos, Gregory |
| collection | MIT |
| description | Measuring intracellular metabolism has increasingly led to important insights in biomedical research. [superscript 13]C tracer analysis, although less information-rich than quantitative [superscript 13]C flux analysis that requires computational data integration, has been established as a time-efficient method to unravel relative pathway activities, qualitative changes in pathway contributions, and nutrientcontributions. Here, we review selected key issues in interpreting [superscript 13]C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments |
| first_indexed | 2024-09-23T11:55:03Z |
| format | Article |
| id | mit-1721.1/107921 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:55:03Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1079212022-09-27T22:49:09Z A roadmap for interpreting 13C metabolite labeling patterns from cells Stephanopoulos, Gregory Massachusetts Institute of Technology. Department of Chemical Engineering Stephanopoulos, Gregory Measuring intracellular metabolism has increasingly led to important insights in biomedical research. [superscript 13]C tracer analysis, although less information-rich than quantitative [superscript 13]C flux analysis that requires computational data integration, has been established as a time-efficient method to unravel relative pathway activities, qualitative changes in pathway contributions, and nutrientcontributions. Here, we review selected key issues in interpreting [superscript 13]C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments 2017-04-06T20:35:01Z 2017-04-06T20:35:01Z 2015-08 2015-08 Article http://purl.org/eprint/type/JournalArticle 09581669 http://hdl.handle.net/1721.1/107921 Buescher, Joerg M et al. “A Roadmap for Interpreting 13C Metabolite Labeling Patterns from Cells.” Current Opinion in Biotechnology 34 (2015): 189–201. https://orcid.org/0000-0001-6909-4568 en_US http://dx.doi.org/10.1016/j.copbio.2015.02.003 Current Opinion in Biotechnology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Stephanopoulos, Gregory A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title | A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title_full | A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title_fullStr | A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title_full_unstemmed | A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title_short | A roadmap for interpreting 13C metabolite labeling patterns from cells |
| title_sort | roadmap for interpreting 13c metabolite labeling patterns from cells |
| url | http://hdl.handle.net/1721.1/107921 https://orcid.org/0000-0001-6909-4568 |
| work_keys_str_mv | AT stephanopoulosgregory aroadmapforinterpreting13cmetabolitelabelingpatternsfromcells AT stephanopoulosgregory roadmapforinterpreting13cmetabolitelabelingpatternsfromcells |