日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast

全物种定量转录组和蛋白质组揭示了酵母基因表达变异的不同遗传控制

Elie Marcel Teyssonnière #, Pauline Trébulle #, Julia Muenzner #, Victor Loegler, Daniela Ludwig, Fatma Amari, Michael Mülleder, Anne Friedrich, Jing Hou, Markus Ralser, Joseph Schacherer

dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts

使用 FragPipe 和 DIA-NN 进行 dia-PASEF 数据分析,用于低样本量的深度蛋白质组学

Vadim Demichev #, Lukasz Szyrwiel #, Fengchao Yu, Guo Ci Teo, George Rosenberger, Agathe Niewienda, Daniela Ludwig, Jens Decker, Stephanie Kaspar-Schoenefeld, Kathryn S Lilley, Michael Mülleder, Alexey I Nesvizhskii, Markus Ralser

A time-resolved proteomic and prognostic map of COVID-19

COVID-19 的时间分辨蛋白质组学和预后图谱

Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry Whitwell, Annika Röhl, Anja Freiwald, Lukasz Szyrwiel, Daniela Ludwig, Clara Correia-Melo, Simran Kaur Aulakh, Elisa T Helbig, Paula Stubbemann, Lena J Lippert, Nana-Maria Grüning, Oleg Blyuss, Spyros Verna

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

超高通量临床蛋白质组学揭示 COVID-19 感染的分类器

Christoph B Messner, Vadim Demichev, Daniel Wendisch, Laura Michalick, Matthew White, Anja Freiwald, Kathrin Textoris-Taube, Spyros I Vernardis, Anna-Sophia Egger, Marco Kreidl, Daniela Ludwig, Christiane Kilian, Federica Agostini, Aleksej Zelezniak, Charlotte Thibeault, Moritz Pfeiffer, Stefan Hipp