Electronic Resource

Identifying plasma proteomic signatures from health to heart failure, across the ejection fraction spectrum

التفاصيل البيبلوغرافية
العنوان: Identifying plasma proteomic signatures from health to heart failure, across the ejection fraction spectrum
المؤلفون: Experimentele Afd. Cardiologie 1, Circulatory Health, Onderzoek Vrouw Hart & Vaatziekten, Team Medisch, HAG Hart- Vaatziekten, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Nefro Vasculaire Geneeskunde, Regenerative Medicine and Stem Cells, Andrzejczyk, Karolina, Abou Kamar, Sabrina, van Ommen, Anne-Mar, Canto, Elisa Dal, Petersen, Teun B, Valstar, Gideon, Akkerhuis, K Martijn, Cramer, Maarten Jan, Umans, Victor, Rutten, Frans H, Teske, Arco, Boersma, Eric, Menken, Roxana, van Dalen, Bas M, Hofstra, Leonard, Verhaar, Marianne, Brugts, Jasper, Asselbergs, Folkert, den Ruijter, Hester, Kardys, Isabella
بيانات النشر: Nature Publishing Group 2024-06-27
نوع الوثيقة: Electronic Resource
URL: https://doi.org/10.1038/s41598-024-65667-0
http://hdl.handle.net/1874/453677
https://dspace.library.uu.nl/handle/1874/453677
http://www.scopus.com/inward/record.url?scp=85197154998&partnerID=8YFLogxK
2045-2322
Scientific Reports
14
1
14871
الاتاحة: Open access content. Open access content
Open Access (free)
ملاحظة: English
Other Numbers: QGJ oai:dspace.library.uu.nl:1874/453677
Andrzejczyk , K , Abou Kamar , S , van Ommen , A-M , Canto , E D , Petersen , T B , Valstar , G , Akkerhuis , K M , Cramer , M J , Umans , V , Rutten , F H , Teske , A , Boersma , E , Menken , R , van Dalen , B M , Hofstra , L , Verhaar , M , Brugts , J , Asselbergs , F , den Ruijter , H & Kardys , I 2024 , ' Identifying plasma proteomic signatures from health to heart failure, across the ejection fraction spectrum ' , Scientific Reports , vol. 14 , no. 1 , 14871 . https://doi.org/10.1038/s41598-024-65667-0
URN:NBN:NL:UI:10-1874-453677
434082353
1450185729
المصدر المساهم: UNIVERSITEIT UTRECHT
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1450185729
قاعدة البيانات: OAIster