ArticleiScience2020
Dynamic
Erratum issuedAbstract read
In one paragraph
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Article
- Combined Isotopic Tracer and Modelling Approach Reveals Differences in Nitrogen Metabolism in S. cerevisiae, S. uvarum and S. kudriavzevii Species.Microbial biotechnology · 2025Article
- Brown fat ATP-citrate lyase links carbohydrate availability to thermogenesis and guards against metabolic stress.Nature metabolism · 2024Article
- Kinetic modelling of the cellular metabolic responses underpinning in vitro glycolysis assays.FEBS open bio · 2024Article
- A miniaturized culture platform for control of the metabolic environment.Biomicrofluidics · 2024Article
- Metabolic flux analysis in adipose tissue reprogramming.Immunometabolism (Cobham, Surrey) · 2024Review
- Brain microvascular endothelial cell metabolism and its ties to barrier function.Vitamins and hormones · 2024Article
- Interpreting metabolic complexity via isotope-assisted metabolic flux analysis.Trends in biochemical sciences · 2023Review
- Isotope-Assisted Metabolic Flux Analysis: A Powerful Technique to Gain New Insights into the Human Metabolome in Health and Disease.Metabolites · 2022Review
- Integrating adipocyte insulin signaling and metabolism in the multi-omics era.Trends in biochemical sciences · 2022Review
- Quantitative metabolic fluxes regulated by trans-omic networks.The Biochemical journal · 2022Review
- Insulin resistance rewires the metabolic gene program and glucose utilization in human white adipocytes.International journal of obesity (2005) · 2022Article
- Review
- Systemic Lactate Acts as a Metabolic Buffer in Humans and Prevents Nutrient Overflow in the Postprandial Phase.Frontiers in nutrition · 2022Article
- Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle.iScience · 2021Article
- Kinetic Trans-omic Analysis Reveals Key Regulatory Mechanisms for Insulin-Regulated Glucose Metabolism in Adipocytes.iScience · 2020Article
- Insulin signaling requires glucose to promote lipid anabolism in adipocytes.The Journal of biological chemistry · 2020Article
- Body Mass Dynamics Is Determined by the Metabolic Ohm's Law and Adipocyte-Autonomous Fat Mass Homeostasis.iScience · 2020Article
Corrections and comments
- Erratum issuedErratum: Dynamic2020
Authors and funding
16 authors.
Lake-Ee QuekCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia. Electronic address: lake-ee.quek@sydney.edu.au.
James R KrycerCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
Satoshi OhnoDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan.
Katsuyuki YugiDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; YCI Laboratory for Trans-Omics, Young Chief Investigator Program, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 Japan.
Daniel J FazakerleyCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
Richard ScalzoFaculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia.
Sarah D ElkingtonCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
Ziwei DaiDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, AMED, 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan.
Satsuki IkedaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan.
Futaba ShojiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan.
Kumi SuzukiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan.
Jason W LocasaleDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Duke University, Durham, NC 27710, USA.
Tomoyoshi SogaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0052, Japan; AMED-CREST, AMED, 1-7-1 Otemachi, Chiyoda-Ku, Tokyo 100-0004, Japan.
David E JamesCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia. Electronic address: david.james@sydney.edu.au.
Shinya KurodaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan; CREST, Japan Science and Technology Agency, Bunkyo-ku, Tokyo 113-0033, Japan. Electronic address: skuroda@bs.s.u-tokyo.ac.jp.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular metabolism is dynamic, but quantifying non-steady metabolic fluxes by stable isotope tracers presents unique computational challenges. Here, we developed an efficient
Indexed as
Biological SciencesFlux DataMetabolic Flux AnalysisMetabolomics
Identifiers
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.