Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1007/s00109-019-01823-8
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2019
- Creator
-
Gajjala, Prathibha Reddy
Bruck, Heike
Noels, Heidi
Heinze, Georg
Ceccarelli, Francesco
Kribben, Andreas
Sáez Rodríguez, Julio
Marx, Nikolaus
Zidek, Walter
Jankowski, Joachim
Jankowski, Vera
- DOI
-
10.18154/RWTH-CONV-241112
- URN
-
urn:nbn:de:101:1-2023040505235462488959
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gajjala, Prathibha Reddy
- Bruck, Heike
- Noels, Heidi
- Heinze, Georg
- Ceccarelli, Francesco
- Kribben, Andreas
- Sáez Rodríguez, Julio
- Marx, Nikolaus
- Zidek, Walter
- Jankowski, Joachim
- Jankowski, Vera
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2019
Other Objects (12)
Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach
Modular analysis of signal transduction networks
Peroxisome proliferator-activated receptors als Modulatoren der inflammatorischen Reaktion in der Atherogenese
Dapagliflozin, advanced chronic kidney disease, and mortality : new insights from the DAPA-CKD trial
Personalized signaling models for personalized treatments
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Enablers and challenges of spatial omics, a melting pot of technologies
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Diabetes
SGLT2 inhibitors in heart failure and type 2 diabetes : from efficacy in trials towards effectiveness in the real world
Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach
Modular analysis of signal transduction networks
Peroxisome proliferator-activated receptors als Modulatoren der inflammatorischen Reaktion in der Atherogenese
Dapagliflozin, advanced chronic kidney disease, and mortality : new insights from the DAPA-CKD trial
Personalized signaling models for personalized treatments
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Enablers and challenges of spatial omics, a melting pot of technologies
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Diabetes
SGLT2 inhibitors in heart failure and type 2 diabetes : from efficacy in trials towards effectiveness in the real world
Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach
Modular analysis of signal transduction networks
Peroxisome proliferator-activated receptors als Modulatoren der inflammatorischen Reaktion in der Atherogenese
Dapagliflozin, advanced chronic kidney disease, and mortality : new insights from the DAPA-CKD trial
Personalized signaling models for personalized treatments
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Enablers and challenges of spatial omics, a melting pot of technologies
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Diabetes