Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease.
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| Title: | Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease. |
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| Authors: | Lay AC; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Tran VDT; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Nair V; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA., Betin V; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Hurcombe JA; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Barrington AF; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Pope RJ; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Burdet F; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Mehl F; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Kryvokhyzha D; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Ahmad A; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Sinton MC; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Lewis P; Proteomics Facility, University of Bristol, Bristol, UK., Wilson MC; Proteomics Facility, University of Bristol, Bristol, UK., Menon R; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Otto E; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA., Heesom KJ; Proteomics Facility, University of Bristol, Bristol, UK., Ibberson M; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Looker HC; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA., Nelson RG; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA., Ju W; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Kretzler M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Satchell SC; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Gomez MF; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Coward RJM; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK. Richard.Coward@bristol.ac.uk. |
| Corporate Authors: | BEAt-DKD consortium |
| Source: | Nature communications [Nat Commun] 2024 Nov 19; Vol. 15 (1), pp. 10018. Date of Electronic Publication: 2024 Nov 19. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39562547 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lay+AC%22">Lay AC</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.<br /><searchLink fieldCode="AU" term="%22Tran+VDT%22">Tran VDT</searchLink>; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Nair+V%22">Nair V</searchLink>; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Betin+V%22">Betin V</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Hurcombe+JA%22">Hurcombe JA</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Barrington+AF%22">Barrington AF</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Pope+RJ%22">Pope RJ</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Burdet+F%22">Burdet F</searchLink>; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Mehl+F%22">Mehl F</searchLink>; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kryvokhyzha+D%22">Kryvokhyzha D</searchLink>; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.<br /><searchLink fieldCode="AU" term="%22Ahmad+A%22">Ahmad A</searchLink>; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.<br /><searchLink fieldCode="AU" term="%22Sinton+MC%22">Sinton MC</searchLink>; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.<br /><searchLink fieldCode="AU" term="%22Lewis+P%22">Lewis P</searchLink>; Proteomics Facility, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Wilson+MC%22">Wilson MC</searchLink>; Proteomics Facility, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Menon+R%22">Menon R</searchLink>; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Otto+E%22">Otto E</searchLink>; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Heesom+KJ%22">Heesom KJ</searchLink>; Proteomics Facility, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Ibberson+M%22">Ibberson M</searchLink>; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Looker+HC%22">Looker HC</searchLink>; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Nelson+RG%22">Nelson RG</searchLink>; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA.<br /><searchLink fieldCode="AU" term="%22Ju+W%22">Ju W</searchLink>; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Kretzler+M%22">Kretzler M</searchLink>; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Satchell+SC%22">Satchell SC</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Gomez+MF%22">Gomez MF</searchLink>; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.<br /><searchLink fieldCode="AU" term="%22Coward+RJM%22">Coward RJM</searchLink>; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK. Richard.Coward@bristol.ac.uk. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22BEAt-DKD+consortium%22">BEAt-DKD consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2024 Nov 19; Vol. 15 (1), pp. 10018. <i>Date of Electronic Publication: </i>2024 Nov 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39562547 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41467-024-54089-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 10018 Titles: – TitleFull: Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lay AC – PersonEntity: Name: NameFull: Tran VDT – PersonEntity: Name: NameFull: Nair V – PersonEntity: Name: NameFull: Betin V – PersonEntity: Name: NameFull: Hurcombe JA – PersonEntity: Name: NameFull: Barrington AF – PersonEntity: Name: NameFull: Pope RJ – PersonEntity: Name: NameFull: Burdet F – PersonEntity: Name: NameFull: Mehl F – PersonEntity: Name: NameFull: Kryvokhyzha D – PersonEntity: Name: NameFull: Ahmad A – PersonEntity: Name: NameFull: Sinton MC – PersonEntity: Name: NameFull: Lewis P – PersonEntity: Name: NameFull: Wilson MC – PersonEntity: Name: NameFull: Menon R – PersonEntity: Name: NameFull: Otto E – PersonEntity: Name: NameFull: Heesom KJ – PersonEntity: Name: NameFull: Ibberson M – PersonEntity: Name: NameFull: Looker HC – PersonEntity: Name: NameFull: Nelson RG – PersonEntity: Name: NameFull: Ju W – PersonEntity: Name: NameFull: Kretzler M – PersonEntity: Name: NameFull: Satchell SC – PersonEntity: Name: NameFull: Gomez MF – PersonEntity: Name: NameFull: Coward RJM IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 11 Text: 2024 Nov 19 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2041-1723 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Nature communications Type: main |
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