Matthias Fahrner
Overview
Explore the profile of Matthias Fahrner including associated specialties, affiliations and a list of published articles.
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19
Citations
200
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Recent Articles
1.
Werner T, Fahrner M, Schilling O
Pathologie (Heidelb)
. 2024 Nov;
45(Suppl 1):56-62.
PMID: 39508868
Background: Mass spectrometry (MS)-based proteomics is rapidly transforming pathology research and diagnostics by enabling comprehensive studies of protein expression and post-translational modifications (PTMs). Objective: This article discusses recent advancements in...
2.
Frohlich K, Fahrner M, Brombacher E, Seredynska A, Maldacker M, Kreutz C, et al.
Mol Cell Proteomics
. 2024 Jun;
23(8):100800.
PMID: 38880244
Data-independent acquisition (DIA) has revolutionized the field of mass spectrometry (MS)-based proteomics over the past few years. DIA stands out for its ability to systematically sample all peptides in a...
3.
Petrova E, Lopez-Gay J, Fahrner M, Leturcq F, de Villartay J, Barbieux C, et al.
Commun Biol
. 2024 Feb;
7(1):152.
PMID: 38316920
Netherton syndrome (NS) is a rare skin disease caused by loss-of-function mutations in the serine peptidase inhibitor Kazal type 5 (SPINK5) gene. Disease severity and the lack of efficacious treatments...
4.
Thiery J, Fahrner M
Proteomics
. 2023 Dec;
24(12-13):e2300002.
PMID: 38143279
Cancer remains one of the most complex and challenging diseases in mankind. To address the need for a personalized treatment approach for particularly complex tumor cases, molecular tumor boards (MTBs)...
5.
Werner T, Fahrner M, Schilling O
Pathologie (Heidelb)
. 2023 Nov;
44(Suppl 3):176-182.
PMID: 37999758
Proteomics, the study of proteins and their functions, has greatly evolved due to advances in analytical chemistry and computational biology. Unlike genomics or transcriptomics, proteomics captures the dynamic and diverse...
6.
Mehta S, Bernt M, Chambers M, Fahrner M, Foll M, Gruening B, et al.
Expert Rev Proteomics
. 2023 Oct;
20(11):251-266.
PMID: 37787106
Introduction: Continuous advances in mass spectrometry (MS) technologies have enabled deeper and more reproducible proteome characterization and a better understanding of biological systems when integrated with other 'omics data. Bioinformatic...
7.
Hiltemann S, Rasche H, Gladman S, Hotz H, Lariviere D, Blankenberg D, et al.
PLoS Comput Biol
. 2023 Jan;
19(1):e1010752.
PMID: 36622853
There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have...
8.
Werner J, Bernhard P, Cosenza-Contreras M, Pinter N, Fahrner M, Pallavi P, et al.
Neoplasia
. 2023 Jan;
36:100871.
PMID: 36610378
Pancreatic ductal adenocarcinoma (PDAC) represents one of the most aggressive and lethal malignancies worldwide with an urgent need for new diagnostic and therapeutic strategies. One major risk factor for PDAC...
9.
Frohlich K, Brombacher E, Fahrner M, Vogele D, Kook L, Pinter N, et al.
Nat Commun
. 2022 May;
13(1):2622.
PMID: 35551187
Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical samples, necessitating their comprehensive benchmarking. We present a benchmark dataset comprising real-world inter-patient heterogeneity, which we use for in-depth...
10.
Pinter N, Glatzer D, Fahrner M, Frohlich K, Johnson J, Gruning B, et al.
J Proteome Res
. 2022 May;
21(6):1558-1565.
PMID: 35503992
Quantitative mass spectrometry-based proteomics has become a high-throughput technology for the identification and quantification of thousands of proteins in complex biological samples. Two frequently used tools, MaxQuant and MSstats, allow...