Search Results - "Metabolic Networks and Pathways/physiology"

Circadian and Feeding Rhythms Orchestrate the Diurnal Liver Acetylome.

Authors: Mauvoisin, D. Atger, F. Dayon, L. et al.

Subject Terms: ARNTL Transcription Factors/deficiency, ARNTL Transcription Factors/genetics, Acetylation, Animals, Circadian Clocks/physiology, Circadian Rhythm/physiology, Cryptochromes/deficiency, Cryptochromes/genetics, Eating/physiology, Liver/enzymology, Lysine, Metabolic Networks and Pathways/physiology, Mice, Inbred C57BL, Knockout, Mitochondrial Proteins/genetics, Mitochondrial Proteins/metabolism, NAD/metabolism, Photoperiod, Protein Processing, Post-Translational, Proteome/genetics, Proteome/metabolism, Sirtuin 3/genetics, Sirtuin 3/metabolism, NAD(+), SILAC proteomics, SIRT3, circadian clock, liver metabolism

File Description: application/pdf

Relation: Cell Reports; https://iris.unil.ch/handle/iris/260318; serval:BIB_E24884033C82; 000407924300020

Availability: https://iris.unil.ch/handle/iris/260318
https://doi.org/10.1016/j.celrep.2017.07.065

The activation of the kynurenine pathway in a rat model with renovascular hypertension

Authors: Anna Tankiewicz-Kwedlo Krystyna Pawlak Malgorzata Karbowska et al.

Source: Experimental Biology and Medicine. 242:750-761

Subject Terms: Male, 0301 basic medicine, Blood pressure - physiology, Kynurenine - blood, Wistar, Blood Pressure, Enzyme-Linked Immunosorbent Assay, renovascular - etiology, Disease models, renovascular - metabolism, 03 medical and health sciences, Enzyme-linked immunosorbent assay, high pressure liquid, Animals, animal, Rats, Wistar, Chromatography, High Pressure Liquid, Kynurenine, 2. Zero hunger, Chromatography, 0303 health sciences, Metabolic networks and pathways - physiology, Angiotensin II, Kynurenine - metabolism, Tryptophan, Tryptophan - blood, Rats, 3. Good health, Tryptophan - metabolism, Disease Models, Animal, Hypertension, Renovascular, Angiotensin II - blood, Hypertension, Metabolic Networks and Pathways

Access URL: https://europepmc.org/articles/pmc5363689?pdf=render
https://pubmed.ncbi.nlm.nih.gov/28165296
http://europepmc.org/articles/PMC5363689
https://journals.sagepub.com/doi/10.1177/1535370217693114
https://pubmed.ncbi.nlm.nih.gov/28165296/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363689

Pancreatic β-cells respond to fuel pressure with an early metabolic switch

Authors: Thomas Mandrup-Poulsen Mathilde H. Lerche Seyed Mojtaba Ghiasi et al.

Source: Sci Rep
Malinowski, R M, Ghiasi, S M, Mandrup-Poulsen, T, Meier, S, Lerche, M H, Ardenkjær-Larsen, J H & Jensen, P R 2020, ' Pancreatic β-cells respond to fuel pressure with an early metabolic switch ', Scientific Reports, vol. 10, no. 1, 15413 . https://doi.org/10.1038/s41598-020-72348-1
Malinowski, R M, Ghiasi, S M, Mandrup-Poulsen, T, Meier, S, Lerche, M H, Ardenkjær-Larsen, J H & Jensen, P R 2020, ' Pancreatic beta-cells respond to fuel pressure with an early metabolic switch ', Scientific Reports, vol. 10, no. 1, 15413 . https://doi.org/10.1038/s41598-020-72348-1
Malinowski, R M, Ghiasi, S M, Mandrup-Poulsen, T, Meier, S, Lerche, M H, Ardenkjaer-Larsen, J H & Jensen, P R 2020, ' Pancreatic beta-cells respond to fuel pressure with an early metabolic switch ', Scientific Reports, vol. 10, no. 1, 15413 . https://doi.org/10.1038/s41598-020-72348-1
Malinowski, R M, Ghiasi, S M, Mandrup-Poulsen, T, Meier, S, Lerche, M H, Ardenkjær-Larsen, J H & Jensen, P R 2020, ' Pancreatic β-cells respond to fuel pressure with an early metabolic switch ', Scientific Reports, vol. 10, no. 1, 15413, pp. 15413 . https://doi.org/10.1038/s41598-020-72348-1

Subject Terms: 0301 basic medicine, Insulin/metabolism, Excess-fuel handling, LINE, Article, GLUCOSE, Cell Line, PATHWAY, Pyruvic Acid/metabolism, 03 medical and health sciences, Insulin-Secreting Cells/metabolism, STIMULATED INSULIN-SECRETION, Insulin-Secreting Cells, Insulin Secretion, Pyruvic Acid, Pressure, Glucose/metabolism, Metabolomics/methods, Animals, Insulin, Metabolomics, 2. Zero hunger, 13C NMR, 0303 health sciences, Signal Transduction/physiology, Fatty Acids, Beta cells, Lipid Metabolism, Lipid Metabolism/physiology, Rats, Fatty Acids/metabolism, ISOTOPE-RESOLVED METABOLOMICS, Glucose, EXCESS, DNP, Insulin Secretion/physiology, Metabolic Networks and Pathways/physiology, Metabolic Networks and Pathways, Signal Transduction

File Description: application/pdf

Access URL: https://www.nature.com/articles/s41598-020-72348-1.pdf
https://pubmed.ncbi.nlm.nih.gov/32963286
https://www.nature.com/articles/s41598-020-72348-1
https://www.nature.com/articles/s41598-020-72348-1.pdf
https://backend.orbit.dtu.dk/ws/files/222263088/s41598_020_72348_1.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508987
https://orbit.dtu.dk/en/publications/pancreatic-beta-cells-respond-to-fuel-pressure-with-an-early-meta
https://ui.adsabs.harvard.edu/abs/2020NatSR..1015413M/abstract
https://orbit.dtu.dk/en/publications/ad355e8a-513a-4ef9-82a3-b756bd0c207e
https://orbit.dtu.dk/en/publications/4acb2800-5297-43d8-af31-c2197204312a
https://curis.ku.dk/ws/files/251644445/OA_Pancreatic_cells_respond_to_fuel.pdf

Optimization and validation of a chiral GC–MS method for the determination of free d-amino acids ratio in human urine: Application to a Gestational Diabetes Mellitus study

Authors: Lorenzo M. P. Dudzik D. Varas E. et al.

Source: Journal of Pharmaceutical and Biomedical Analysis. 107:480-487

Subject Terms: Adult, 0301 basic medicine, gestationa - urine, Signal transduction - physiology, 01 natural sciences, Gas Chromatography-Mass Spectrometry, Young Adult, 03 medical and health sciences, Amino acids - chemistry, Amino acids - urine, Pregnancy, Humans, Amino Acids, Metabolic networks and pathways - physiology, Diabetes, Glucose tolerance test - methods, Glucose Tolerance Test, 6. Clean water, 0104 chemical sciences, 3. Good health, Gestational Diabetes MellitusUrined-Amino acidsSPEChiral analysis, Diabetes, Gestational, Young adult, Gas chromatography-mass spectrometry - methods, Female, Metabolic Networks and Pathways, Signal Transduction

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/25679092
https://www.ncbi.nlm.nih.gov/pubmed/25679092
https://www.sciencedirect.com/science/article/pii/S0731708515000254
https://pubmed.ncbi.nlm.nih.gov/25679092/
http://www.sciencedirect.com/science/article/pii/S0731708515000254
https://core.ac.uk/display/54013925
https://hdl.handle.net/11380/1111526
https://www.sciencedirect.com/science/article/pii/S0731708515000254?via=ihub
https://doi.org/10.1016/j.jpba.2015.01.015

Heat shock response and autophagy—cooperation and control

Authors: Dokladny, Karol Myers, Orrin B Moseley, Pope L

Source: Autophagy
Dokladny, K, Myers, O B & Moseley, P L 2015, ' Heat shock response and autophagy-cooperation and control ', Autophagy, vol. 11, no. 2, pp. 200-213 . https://doi.org/10.1080/15548627.2015.1009776

Subject Terms: 0301 basic medicine, 0303 health sciences, Heat-Shock Response/physiology, Signal Transduction/physiology, Heat-Shock Proteins/metabolism, Review, Lysosomes/metabolism, 03 medical and health sciences, Autophagy, Animals, Humans, Autophagy/physiology, Lysosomes, Metabolic Networks and Pathways/physiology, Heat-Shock Proteins, Heat-Shock Response, Metabolic Networks and Pathways, Signal Transduction

File Description: application/pdf

Access URL: https://www.tandfonline.com/doi/pdf/10.1080/15548627.2015.1009776?needAccess=true
https://pubmed.ncbi.nlm.nih.gov/25714619
https://europepmc.org/articles/PMC4502786
https://www.tandfonline.com/doi/pdf/10.1080/15548627.2015.1009776
https://core.ac.uk/display/150336720
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4502786/
https://www.tandfonline.com/doi/full/10.1080/15548627.2015.1009776
https://curis.ku.dk/ws/files/233784569/Heat_shock_response_and_autophagy_cooperation_and_control.pdf

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

Authors: Smith, Reuben L Soeters, Maarten R Wüst, Rob C I et al.

Source: Smith, R L, Soeters, M R, Wüst, R C I & Houtkooper, R H 2018, 'Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease', Endocrine Reviews, vol. 39, no. 4, pp. 489-517. https://doi.org/10.1210/er.2017-00211

Subject Terms: Adaptation, Physiological/physiology, Animals, Energy Metabolism/physiology, Humans, Inflammation/metabolism, Metabolic Diseases/metabolism, Metabolic Networks and Pathways/physiology, Mitochondria/physiology, Neoplasms/metabolism, Signal Transduction/physiology

Relation: info:eu-repo/semantics/altIdentifier/pmid/29697773; info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/1871.1/1504ce9b-ccc3-488c-a275-e8e605c40327; info:eu-repo/semantics/altIdentifier/pissn/0163-769X; info:eu-repo/semantics/altIdentifier/eissn/1945-7189

Availability: https://research.vu.nl/en/publications/1504ce9b-ccc3-488c-a275-e8e605c40327
https://doi.org/10.1210/er.2017-00211
https://hdl.handle.net/1871.1/1504ce9b-ccc3-488c-a275-e8e605c40327
https://www.scopus.com/pages/publications/85054423381
https://www.scopus.com/inward/citedby.url?scp=85054423381&partnerID=8YFLogxK

Analysis of theArabidopsisCytosolic Proteome Highlights Subcellular Partitioning of Central Plant Metabolism

Authors: Ito, Jun Batth, Tanveer S Petzold, Christopher J et al.

Contributors: Ito, Jun Batth, Tanveer S Petzold, Christopher J et al.

Source: Journal of Proteome Research. 10:1571-1582

Subject Terms: Cytosol/chemistry, 0301 basic medicine, Chromatography, 0303 health sciences, Proteome, Arabidopsis Proteins, Molecular Sequence Data, Arabidopsis/chemistry, Arabidopsis, Computational Biology, [SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Mass Spectrometry, 03 medical and health sciences, Cytosol, Arabidopsis Proteins/analysis, Liquid/methods, Proteome/analysis, Amino Acid Sequence, Cation Exchange Resins, Metabolic Networks and Pathways/physiology, [SDV.BC] Life Sciences [q-bio]/Cellular Biology, Mass Spectrometry/methods, Metabolic Networks and Pathways, Chromatography, Liquid

Access URL: https://api.research-repository.uwa.edu.au/ws/files/7850821/Heazlewood2010JPR.pdf
https://pubmed.ncbi.nlm.nih.gov/21166475
https://hal.science/hal-00610475v1
https://pubmed.ncbi.nlm.nih.gov/21166475/
http://www.osti.gov/scitech/biblio/1153299-arabidopsiscytosolic-proteome-highlights-subcellular-partitioning-central-plant-metabolism
https://research-repository.uwa.edu.au/en/publications/analysis-of-the-arabidopsis-cytosolic-proteome-highlights-subcellular-partitioning-of-central-plant-metabolism(a405ac56-78f5-43cf-8043-e4728d71af8d)/export.html
https://www.ncbi.nlm.nih.gov/pubmed/21166475
https://pubs.acs.org/doi/abs/10.1021/pr1009433
http://europepmc.org/abstract/MED/21166475

Metabolic and molecular imaging in neuro-oncology

Authors: Herholz, Karl Coope, David Jackson, Alan

Source: Herholz, K, Coope, D & Jackson, A 2007, 'Metabolic and molecular imaging in neuro-oncology', The Lancet Neurology, vol. 6, no. 8, pp. 711-724. https://doi.org/10.1016/S1474-4422(07)70192-8

Subject Terms: Image Processing, Magnetic Resonance Imaging, Brain Neoplasms, Brain Neoplasms/blood supply/metabolism/radionuclide imaging, Image Processing, Computer-Assisted, 3. Good health, 03 medical and health sciences, Computer-Assisted, 0302 clinical medicine, Metabolic Networks and Pathways/*physiology, Humans, Radionuclide Imaging, Metabolic Networks and Pathways

Access URL: https://pubmed.ncbi.nlm.nih.gov/17638612
https://research.manchester.ac.uk/en/publications/65bc7aee-9137-4120-ab17-c6ddceb93c5f
https://doi.org/10.1016/S1474-4422(07)70192-8
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:167225
https://www.sciencedirect.com/science/article/pii/S1474442207701928
http://www.thelancet.com/journals/laneur/article/PIIS1474-4422(07)70192-8/fulltext
http://www.sciencedirect.com/science/article/pii/S1474442207701928
https://www.thelancet.com/journals/laneur/article/PIIS1474-4422(07)70192-8/fulltext
https://www.thelancet.com/pdfs/journals/laneur/PIIS1474-4422(07)70192-8.pdf
https://research.manchester.ac.uk/en/publications/65bc7aee-9137-4120-ab17-c6ddceb93c5f
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17638612
https://doi.org/10.1016/S1474-4422(07)70192-8

Metabolic Pathway Signatures Associated with Urinary Metabolite Biomarkers Differentiate Bladder Cancer Patients from Healthy Controls.

Contributors: College of Medicine Dept. of Urology Won Tae Kim et al.

Subject Terms: Aged, Biomarkers/metabolism, Carcinoma, Transitional Cell/genetics, Transitional Cell/metabolism, Transitional Cell/pathology, Carnitine/analogs & derivatives, Carnitine/genetics, Carnitine/metabolism, Case-Control Studies, Female, Humans, Male, Metabolic Networks and Pathways/physiology, Middle Aged, RNA, Messenger/metabolism, Real-Time Polymerase Chain Reaction, Urinary Bladder Neoplasms/genetics, Urinary Bladder Neoplasms/metabolism, Urinary Bladder Neoplasms/pathology, Bladder cancer, diagnostic marker, gene expression, qRT-PCR, urine metabolites

File Description: 865~871

Relation: YONSEI MEDICAL JOURNAL; J02813; https://ir.ymlib.yonsei.ac.kr/handle/22282913/147012; T201601940; 47045

Availability: https://ir.ymlib.yonsei.ac.kr/handle/22282913/147012
https://doi.org/10.3349/ymj.2016.57.4.865

How do plants feel the heat?

Authors: Mittler, R. Finka, A. Goloubinoff, P.

Subject Terms: Arabidopsis/metabolism, Arabidopsis/physiology, Calcium Channels/metabolism, Calcium Channels/physiology, Cell Membrane/metabolism, Cell Membrane/physiology, Cytosol/metabolism, Endoplasmic Reticulum/metabolism, Endoplasmic Reticulum/physiology, Heat-Shock Response/genetics, Heat-Shock Response/physiology, Histones/metabolism, Metabolic Networks and Pathways/genetics, Metabolic Networks and Pathways/physiology, Plant Physiological Phenomena, Temperature, Unfolded Protein Response/physiology

Relation: Trends in Biochemical Sciences; https://iris.unil.ch/handle/iris/254586; serval:BIB_F7893CF3B96D; 000302499300005

Availability: https://iris.unil.ch/handle/iris/254586
https://doi.org/10.1016/j.tibs.2011.11.007

Expression profiling of more than 3500 proteins of MSS-type colorectal cancer by stable isotope labeling and mass spectrometry

Contributors: Un-Beom Kang Jeonghun Yeom Hye-Jung Kim et al.

Subject Terms: Algorithms, Biomarkers, Tumor/analysis, Tumor/metabolism, Carcinoma/genetics, Carcinoma/metabolism, Carcinoma/pathology, Cluster Analysis, Colorectal Neoplasms/genetics, Colorectal Neoplasms/metabolism, Colorectal Neoplasms/pathology, Gene Expression Regulation, Neoplastic, Humans, Isotope Labeling/methods, Mass Spectrometry/methods, Metabolic Networks and Pathways/physiology, Metabolome, Microsatellite Instability, Models, Biological, Neoplasm Proteins/analysis, Neoplasm Proteins/genetics, Neoplasm Proteins/metabolism, Proteome/analysis, Proteome/metabolism, Quantitative analysis, mTRAQ, cICAT, Colorectal cancer

Relation: JOURNAL OF PROTEOMICS; J01721; https://ir.ymlib.yonsei.ac.kr/handle/22282913/91075; http://www.sciencedirect.com/science/article/pii/S1874391911006518; T201205935

Availability: https://ir.ymlib.yonsei.ac.kr/handle/22282913/91075
http://www.sciencedirect.com/science/article/pii/S1874391911006518

Bacterial Molecular Networks: Bridging the Gap Between Functional Genomics and Dynamical Modelling

Authors: Helden, Jacques Toussaint, Ariane Thieffry, Denis et al.

Contributors: Helden, Jacques Toussaint, Ariane Thieffry, Denis et al.

Source: Methods in Molecular Biology ISBN: 9781617793608

Subject Terms: 0301 basic medicine, Bioinformatics, Bacterial Physiological Phenomena, Models, Biological, Clustering, Computational biology, 03 medical and health sciences, Gene Regulatory Networks -- physiology, Metagenomics -- methods, Computational Biology -- methods, Models, Systems Biology -- methods, Graph motifs, Gene Regulatory Networks, Protein Interaction Maps, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], 0303 health sciences, Metabolic Networks and Pathways -- physiology, Bacteria, Systems Biology, Protein interactions, Computational Biology, Sciences bio-médicales et agricoles, Biological, Regulatory networks, [SDV] Life Sciences [q-bio], Dynamical modelling, Metabolic pathways, Metagenomics, Protein Interaction Maps -- physiology, Systems biology, Metabolic Networks and Pathways, Software

File Description: No full-text files

Access URL: https://pubmed.ncbi.nlm.nih.gov/22144145
https://amu.hal.science/hal-01624285v1
https://link.springer.com/protocol/10.1007/978-1-61779-361-5_1/fulltext.html
https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/123725/Details
https://pubmed.ncbi.nlm.nih.gov/22144145/
https://rd.springer.com/protocol/10.1007/978-1-61779-361-5_1
https://europepmc.org/article/MED/22144145
https://link.springer.com/10.1007/978-1-61779-361-5_1

Cathepsin B: a potential prognostic marker for inflammatory breast cancer

Authors: Mona Mostafa Mohamed Dora Cavallo-Medved Mohamed El-Shinawi et al.

Source: J Transl Med
Journal of Translational Medicine, Vol 9, Iss 1, p 1 (2011)
Biological Sciences Publications

Subject Terms: Adult, 0301 basic medicine, Caveolin 1, Breast Neoplasms, Cathepsin B, 03 medical and health sciences, Biomarkers, Tumor, Humans, Neoplasm Invasiveness, Biology, Aged, Medicine(all), 0303 health sciences, Metabolic Networks and Pathways -- physiology, Biochemistry, Genetics and Molecular Biology(all), Research, Carcinoma, Caveolin 1 -- metabolism, Life Sciences, Middle Aged, Prognosis, 3. Good health, Lymphatic Metastasis, Medicine, Female, Inflammatory Breast Neoplasms, Metabolic Networks and Pathways

File Description: application/pdf

Access URL: https://translational-medicine.biomedcentral.com/track/pdf/10.1186/1479-5876-9-1
https://pubmed.ncbi.nlm.nih.gov/21199580
https://doaj.org/article/6617da98fd434d1cb9fc39bbb32ddac8
https://translational-medicine.biomedcentral.com/articles/10.1186/1479-5876-9-1
https://link.springer.com/article/10.1186%2F1479-5876-9-1
http://europepmc.org/articles/PMC3022726
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022726/
https://link.springer.com/content/pdf/10.1186%2F1479-5876-9-1.pdf
https://pubmed.ncbi.nlm.nih.gov/21199580/
https://scholar.uwindsor.ca/biologypub/19
https://scholar.uwindsor.ca/context/biologypub/article/1018/viewcontent/1479_5876_9_1.pdf

Phosphoproteomic Analysis Reveals Interconnected System-Wide Responses to Perturbations of Kinases and Phosphatases in Yeast

Authors: Alexey I. Nesvizhskii Kevan M. Shokat Garry P. Nolan et al.

Contributors: Alexey I. Nesvizhskii Kevan M. Shokat Garry P. Nolan et al.

Source: Science Signaling, Vol. 3, No 153 (2010) P. rs4
Science Signalling
Science signaling

Subject Terms: Proteomics, 0301 basic medicine, 1303 Biochemistry, 610 Medicine & health, 10071 Functional Genomics Center Zurich, Saccharomyces cerevisiae, Models, Biological, 1307 Cell Biology, Phosphotransferases/genetics/metabolism, 03 medical and health sciences, Species Specificity, Tandem Mass Spectrometry, ddc:570, 1312 Molecular Biology, Phosphorylation, 0303 health sciences, Phosphoric Monoester Hydrolases/genetics/metabolism, Signal Transduction/physiology, Phosphotransferases, Bayes Theorem, Phosphoproteins, 10124 Institute of Molecular Life Sciences, Phosphoric Monoester Hydrolases, Phosphoproteins/metabolism, 570 Life sciences, biology, U7 Systems Biology / Functional Genomics, Proteomics/methods, Metabolic Networks and Pathways/physiology, Gene Deletion, Metabolic Networks and Pathways, Chromatography, Liquid, Signal Transduction

File Description: application/pdf; 21177495.pdf - application/pdf

Access URL: https://archive-ouverte.unige.ch/unige:18218/ATTACHMENT01
https://pubmed.ncbi.nlm.nih.gov/21177495
https://www.science.org/doi/abs/10.1126/scisignal.2001182
https://www.science.org/lookup/doi/10.1126/scisignal.2001182
https://archive-ouverte.unige.ch/unige:18218
https://pubmed.ncbi.nlm.nih.gov/21177495/
https://stke.sciencemag.org/content/3/153/rs4
https://molbio.unige.ch/files/pmid/21177495.pdf
https://archive-ouverte.unige.ch/unige:18218

Synchronization properties of network motifs: Influence of coupling delay and symmetry

Authors: D'Huys, O. Vicente, R. Erneux, Thomas et al.

Contributors: D'Huys, O. Vicente, R. Erneux, Thomas et al.

Source: Chaos: An Interdisciplinary Journal of Nonlinear Science. 18

Subject Terms: Semiconductor lasers, Metabolic Networks and Pathways -- physiology, Physique, COMPLEX NETWORKS, TIME-DELAY, CHAOS, LIMIT-CYCLE OSCILLATORS, SEMICONDUCTOR-LASERS, Nerve Net -- physiology, Synchronization, Models, Theoretical, 01 natural sciences, coupled oscillators, Feedback, laser diodes, Theoretical, PHASE, ARRAY, INTEGRATION, SYSTEMS, Nonlinear Dynamics, Models, Biological Clocks, Biological Clocks -- physiology, Oscillometry -- methods, Oscillometry, 0103 physical sciences, Computer Simulation, Nerve Net, Algorithms, Metabolic Networks and Pathways

File Description: application/pdf; No full-text files

Access URL: https://publications.aston.ac.uk/id/eprint/38078/1/1.2953582.pdf
https://pubmed.ncbi.nlm.nih.gov/19045490
https://cris.maastrichtuniversity.nl/en/publications/32942124-48eb-445b-a17e-1e785beae2b5
https://doi.org/10.1063/1.2953582
https://ifisc.uib-csic.es/ingo/Pubs/Chaos-Otti-08.pdf
https://publications.aston.ac.uk/38078/
https://scitation.aip.org/content/aip/journal/chaos/18/3/10.1063/1.2953582
https://www.narcis.nl/publication/RecordID/oai%3Acris.maastrichtuniversity.nl%3Apublications%2F32942124-48eb-445b-a17e-1e785beae2b5
https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/31496/Details
https://core.ac.uk/display/8839236
https://biblio.vub.ac.be/vubir/synchronization-properties-of-network-motifs-influence-of-coupling-delay-and-symmetry(1a920463-7988-4320-a85f-f6156cd52556).html

The right stuff: β-cell channels, cycles, and sensors

Authors: Halban, Philippe A.

Source: American Journal of Physiology. Endocrinology and Metabolism, Vol. 295, No 6 (2008) pp. E1277-8

Subject Terms: 576.5, 0301 basic medicine, 0303 health sciences, Diabetes Mellitus, Type 2/metabolism/physiopathology, Insulin-Secreting Cells/metabolism/physiology, Rodentia, Calcium Signaling/physiology, 3. Good health, 03 medical and health sciences, Animals, Antidepressive Agents, Second-Generation, Cell Differentiation/physiology, Glucose/metabolism, Humans, ddc:576.5, Metabolic Networks and Pathways/physiology

File Description: application/pdf

Access URL: https://journals.physiology.org/doi/full/10.1152/ajpendo.90692.2008
https://www.ncbi.nlm.nih.gov/pubmed/18713957
https://www.physiology.org/doi/10.1152/ajpendo.90692.2008
https://archive-ouverte.unige.ch/unige:1830
http://europepmc.org/abstract/MED/18713957
https://www.physiology.org/doi/pdf/10.1152/ajpendo.90692.2008
https://archive-ouverte.unige.ch/unige:1830
https://doi.org/10.1152/ajpendo.90692.2008
https://archive-ouverte.unige.ch/unige:1830

In silico identification of gene amplification targets based on analysis of production and growth coupling

Authors: Jian, Xingxing Zhou, Shengguo Zhang, Cheng et al.

Source: Jian, X, Zhou, S, Zhang, C & Hua, Q 2016, 'In silico identification of gene amplification targets based on analysis of production and growth coupling', Biosystems, vol. 145, pp. 1-8. https://doi.org/10.1016/j.biosystems.2016.05.002

Subject Terms: Carotenoids/biosynthesis, Computer Simulation, Escherichia coli/genetics, Gene Amplification/physiology, Lycopene, Metabolic Networks and Pathways/physiology

Availability: https://kclpure.kcl.ac.uk/portal/en/publications/69f957a5-f89c-4f16-bb7a-db67b581eac6
https://doi.org/10.1016/j.biosystems.2016.05.002

Towards a Pathway Inventory of the Human Brain for Modeling Disease Mechanisms Underlying Neurodegeneration.

Authors: Iyappan, Anandhi Gündel, Michaela Younesi, Erfan et al.

Source: Journal of Alzheimer's disease 52(4), 1343-1360 (2016). doi:10.3233/JAD-151178

Subject Terms: info:eu-repo/classification/ddc/610, Brain: drug effects, Brain: metabolism, Brain: physiopathology, Databases, Factual, Humans, Metabolic Networks and Pathways: physiology, Models, Neurological, Neurodegenerative Diseases: metabolism, Neurodegenerative Diseases: physiopathology, Signal Transduction: physiology, Terminology as Topic

Subject Geographic: DE

Relation: info:eu-repo/semantics/altIdentifier/issn/1874-1754; info:eu-repo/semantics/altIdentifier/issn/0167-5273; info:eu-repo/semantics/altIdentifier/issn/1875-8908; info:eu-repo/semantics/altIdentifier/issn/1387-2877; info:eu-repo/semantics/altIdentifier/pmid/pmid:27079715; https://pub.dzne.de/record/138638

Availability: https://pub.dzne.de/record/138638
https://pub.dzne.de/search?p=id:%22DZNE-2020-04960%22

Bacterial molecular networks: bridging the gap between functional genomics and dynamical modelling.

Authors: van Helden, Jacques Toussaint, Ariane Thieffry, Denis

Source: Methods in molecular biology, 804

Subject Terms: Sciences bio-médicales et agricoles, Bacterial Physiological Phenomena, Computational Biology -- methods, Gene Regulatory Networks -- physiology, Metabolic Networks and Pathways -- physiology, Metagenomics -- methods, Models, Biological, Protein Interaction Maps -- physiology, Software, Systems Biology -- methods, Bacteria, Bioinformatics, Clustering, Computational biology, Dynamical modelling, Graph motifs, Metabolic pathways, Metagenomics, Protein interactions, Regulatory networks, Systems biology

File Description: No full-text files

Relation: uri/info:pmid/22144145; uri/info:scp/84855881600

Availability: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/123725

Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies

Authors: Dräger, A. Kronfeld, M. Ziller, M. et al.

Source: BMC systems biology 3, 1 - 24 (2009). doi:10.1186/1752-0509-3-5

Subject Terms: info:eu-repo/classification/ddc/570, Algorithms, Corynebacterium glutamicum: metabolism, Corynebacterium glutamicum: physiology, Kinetics, Leucine: biosynthesis, Metabolic Networks and Pathways: physiology, Models, Biological, Valine: biosynthesis, Leucine, Valine

Subject Geographic: DE

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000265067900001; info:eu-repo/semantics/altIdentifier/issn/1752-0509; info:eu-repo/semantics/altIdentifier/pmid/pmid:19144170

Availability: https://juser.fz-juelich.de/record/5580
https://juser.fz-juelich.de/search?p=id:%22PreJuSER-5580%22