1
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Froschauer K, Svensson SL, Gelhausen R, Fiore E, Kible P, Klaude A, Kucklick M, Fuchs S, Eggenhofer F, Yang C, Falush D, Engelmann S, Backofen R, Sharma CM. Complementary Ribo-seq approaches map the translatome and provide a small protein census in the foodborne pathogen Campylobacter jejuni. Nat Commun 2025; 16:3078. [PMID: 40159498 PMCID: PMC11955535 DOI: 10.1038/s41467-025-58329-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 03/18/2025] [Indexed: 04/02/2025] Open
Abstract
In contrast to transcriptome maps, bacterial small protein (≤50-100 aa) coding landscapes, including overlapping genes, are poorly characterized. However, an emerging number of small proteins have crucial roles in bacterial physiology and virulence. Here, we present a Ribo-seq-based high-resolution translatome map for the major foodborne pathogen Campylobacter jejuni. Besides conventional Ribo-seq, we employed translation initiation site (TIS) profiling to map start codons and also developed a translation termination site (TTS) profiling approach, which revealed stop codons not apparent from the reference genome in virulence loci. Our integrated approach combined with independent validation expanded the small proteome by two-fold, including CioY, a new 34 aa component of the CioAB oxidase. Overall, our study generates a high-resolution annotation of the C. jejuni coding landscape, provided in an interactive browser, and showcases a strategy for applying integrated Ribo-seq to other species to enrich our understanding of small proteomes.
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Affiliation(s)
- Kathrin Froschauer
- University of Würzburg, Institute of Molecular Infection Biology, Department of Molecular Infection Biology II, Würzburg, Germany
| | - Sarah L Svensson
- University of Würzburg, Institute of Molecular Infection Biology, Department of Molecular Infection Biology II, Würzburg, Germany
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Rick Gelhausen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
| | - Elisabetta Fiore
- University of Würzburg, Institute of Molecular Infection Biology, Department of Molecular Infection Biology II, Würzburg, Germany
| | - Philipp Kible
- University of Würzburg, Institute of Molecular Infection Biology, Department of Molecular Infection Biology II, Würzburg, Germany
| | - Alicia Klaude
- Technische Universität Braunschweig, Institute for Microbiology, Braunschweig, Germany
- Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Martin Kucklick
- Technische Universität Braunschweig, Institute for Microbiology, Braunschweig, Germany
- Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Stephan Fuchs
- Robert Koch Institute, Methodenentwicklung und Forschungsinfrastruktur (MF), Berlin, Germany
| | - Florian Eggenhofer
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
| | - Chao Yang
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Daniel Falush
- The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Susanne Engelmann
- Technische Universität Braunschweig, Institute for Microbiology, Braunschweig, Germany
- Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
- Signalling Research Centre CIBSS, University of Freiburg, Freiburg, Germany
| | - Cynthia M Sharma
- University of Würzburg, Institute of Molecular Infection Biology, Department of Molecular Infection Biology II, Würzburg, Germany.
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2
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Kraus A, Hess WR. How Small Proteins Adjust the Metabolism of Cyanobacteria Under Stress: The Role of Small Proteins in Cyanobacterial Stress Responses. Bioessays 2025; 47:e202400245. [PMID: 39668401 PMCID: PMC11848123 DOI: 10.1002/bies.202400245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 11/28/2024] [Accepted: 12/02/2024] [Indexed: 12/14/2024]
Abstract
Several recently discovered small proteins of less than 100 amino acids control important, but sometimes surprising, steps in the metabolism of cyanobacteria. There is mounting evidence that a large number of small protein genes have also been overlooked in the genome annotation of many other microorganisms. Although too short for enzymatic activity, their functional characterization has frequently revealed the involvement in processes such as signaling and sensing, interspecies communication, stress responses, metabolism, regulation of transcription and translation, and in the formation of multisubunit protein complexes. Cyanobacteria are the only prokaryotes that perform oxygenic photosynthesis. They thrive under a wide variety of conditions as long as there is light and must cope with dynamic changes in the environment. To acclimate to these fluctuations, frequently small regulatory proteins become expressed that target key enzymes and metabolic processes. The consequences of their actions are profound and can even impact the surrounding microbiome. This review highlights the diverse functions of recently discovered small proteins that control cyanobacterial metabolism. It also addresses why many of these proteins have been overlooked so far and explores the potential for implementing metabolic engineering strategies to improve the use of cyanobacteria in biotechnological applications.
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Affiliation(s)
- Alexander Kraus
- Genetics and Experimental Bioinformatics, Faculty of BiologyUniversity of FreiburgFreiburgGermany
| | - Wolfgang R. Hess
- Genetics and Experimental Bioinformatics, Faculty of BiologyUniversity of FreiburgFreiburgGermany
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3
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Tufail MA, Jordan B, Hadjeras L, Gelhausen R, Cassidy L, Habenicht T, Gutt M, Hellwig L, Backofen R, Tholey A, Sharma CM, Schmitz RA. Uncovering the small proteome of Methanosarcina mazei using Ribo-seq and peptidomics under different nitrogen conditions. Nat Commun 2024; 15:8659. [PMID: 39370430 PMCID: PMC11456600 DOI: 10.1038/s41467-024-53008-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 09/25/2024] [Indexed: 10/08/2024] Open
Abstract
The mesophilic methanogenic archaeal model organism Methanosarcina mazei strain Gö1 is crucial for climate and environmental research due to its ability to produce methane. Here, we establish a Ribo-seq protocol for M. mazei strain Gö1 under two growth conditions (nitrogen sufficiency and limitation). The translation of 93 previously annotated and 314 unannotated small ORFs, coding for proteins ≤ 70 amino acids, is predicted with high confidence based on Ribo-seq data. LC-MS analysis validates the translation for 62 annotated small ORFs and 26 unannotated small ORFs. Epitope tagging followed by immunoblotting analysis confirms the translation of 13 out of 16 selected unannotated small ORFs. A comprehensive differential transcription and translation analysis reveals that 29 of 314 unannotated small ORFs are differentially regulated in response to nitrogen availability at the transcriptional and 49 at the translational level. A high number of reported small RNAs are emerging as dual-function RNAs, including sRNA154, the central regulatory small RNA of nitrogen metabolism. Several unannotated small ORFs are conserved in Methanosarcina species and overproducing several (small ORF encoded) small proteins suggests key physiological functions. Overall, the comprehensive analysis opens an avenue to elucidate the function(s) of multitudinous small proteins and dual-function RNAs in M. mazei.
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Affiliation(s)
| | - Britta Jordan
- Institute for General Microbiology, Kiel University, 24118, Kiel, Germany
| | - Lydia Hadjeras
- Institute of Molecular Infection Biology, University of Würzburg, 97080, Würzburg, Germany
| | - Rick Gelhausen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110, Freiburg, Germany
| | - Liam Cassidy
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Kiel University, 24105, Kiel, Germany
| | - Tim Habenicht
- Institute for General Microbiology, Kiel University, 24118, Kiel, Germany
| | - Miriam Gutt
- Institute for General Microbiology, Kiel University, 24118, Kiel, Germany
| | - Lisa Hellwig
- Institute for General Microbiology, Kiel University, 24118, Kiel, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110, Freiburg, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Kiel University, 24105, Kiel, Germany
| | - Cynthia M Sharma
- Institute of Molecular Infection Biology, University of Würzburg, 97080, Würzburg, Germany
| | - Ruth A Schmitz
- Institute for General Microbiology, Kiel University, 24118, Kiel, Germany.
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Schumacher K, Gelhausen R, Kion-Crosby W, Barquist L, Backofen R, Jung K. Ribosome profiling reveals the fine-tuned response of Escherichia coli to mild and severe acid stress. mSystems 2023; 8:e0103723. [PMID: 37909716 PMCID: PMC10746267 DOI: 10.1128/msystems.01037-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 11/03/2023] Open
Abstract
IMPORTANCE Bacteria react very differently to survive in acidic environments, such as the human gastrointestinal tract. Escherichia coli is one of the extremely acid-resistant bacteria and has a variety of acid-defense mechanisms. Here, we provide the first genome-wide overview of the adaptations of E. coli K-12 to mild and severe acid stress at both the transcriptional and translational levels. Using ribosome profiling and RNA sequencing, we uncover novel adaptations to different degrees of acidity, including previously hidden stress-induced small proteins and novel key transcription factors for acid defense, and report mRNAs with pH-dependent differential translation efficiency. In addition, we distinguish between acid-specific adaptations and general stress response mechanisms using denoising autoencoders. This workflow represents a powerful approach that takes advantage of next-generation sequencing techniques and machine learning to systematically analyze bacterial stress responses.
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Affiliation(s)
- Kilian Schumacher
- Faculty of Biology, Microbiology, Ludwig-Maximilians-Universität München, Martinsried, Germany
| | - Rick Gelhausen
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
| | - Willow Kion-Crosby
- Helmholtz Institute for RNA-based Infection Research (HIRI)/Helmholtz Centre for Infection Research (HZI), Würzburg, Germany
- University of Würzburg, Faculty of Medicine, Würzburg, Germany
| | - Lars Barquist
- Helmholtz Institute for RNA-based Infection Research (HIRI)/Helmholtz Centre for Infection Research (HZI), Würzburg, Germany
- University of Würzburg, Faculty of Medicine, Würzburg, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Kirsten Jung
- Faculty of Biology, Microbiology, Ludwig-Maximilians-Universität München, Martinsried, Germany
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Hadjeras L, Heiniger B, Maaß S, Scheuer R, Gelhausen R, Azarderakhsh S, Barth-Weber S, Backofen R, Becher D, Ahrens CH, Sharma CM, Evguenieva-Hackenberg E. Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics. MICROLIFE 2023; 4:uqad012. [PMID: 37223733 PMCID: PMC10117765 DOI: 10.1093/femsml/uqad012] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/08/2023] [Accepted: 03/07/2023] [Indexed: 05/25/2023]
Abstract
The soil-dwelling plant symbiont Sinorhizobium meliloti is a major model organism of Alphaproteobacteria. Despite numerous detailed OMICS studies, information about small open reading frame (sORF)-encoded proteins (SEPs) is largely missing, because sORFs are poorly annotated and SEPs are hard to detect experimentally. However, given that SEPs can fulfill important functions, identification of translated sORFs is critical for analyzing their roles in bacterial physiology. Ribosome profiling (Ribo-seq) can detect translated sORFs with high sensitivity, but is not yet routinely applied to bacteria because it must be adapted for each species. Here, we established a Ribo-seq procedure for S. meliloti 2011 based on RNase I digestion and detected translation for 60% of the annotated coding sequences during growth in minimal medium. Using ORF prediction tools based on Ribo-seq data, subsequent filtering, and manual curation, the translation of 37 non-annotated sORFs with ≤ 70 amino acids was predicted with confidence. The Ribo-seq data were supplemented by mass spectrometry (MS) analyses from three sample preparation approaches and two integrated proteogenomic search database (iPtgxDB) types. Searches against standard and 20-fold smaller Ribo-seq data-informed custom iPtgxDBs confirmed 47 annotated SEPs and identified 11 additional novel SEPs. Epitope tagging and Western blot analysis confirmed the translation of 15 out of 20 SEPs selected from the translatome map. Overall, by combining MS and Ribo-seq approaches, the small proteome of S. meliloti was substantially expanded by 48 novel SEPs. Several of them are part of predicted operons and/or are conserved from Rhizobiaceae to Bacteria, suggesting important physiological functions.
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Affiliation(s)
- Lydia Hadjeras
- Institute of Molecular Infection Biology, University of Würzburg, 97080 Würzburg, Germany
| | - Benjamin Heiniger
- Molecular Ecology,
Agroscope and SIB Swiss Institute of Bioinformatics, 8046 Zurich, Switzerland
| | - Sandra Maaß
- Institute of Microbiology, University of Greifswald, 17489 Greifswald, Germany
| | - Robina Scheuer
- Institute of Microbiology and Molecular Biology, University of Giessen, 35392 Giessen, Germany
| | - Rick Gelhausen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany
| | - Saina Azarderakhsh
- Institute of Microbiology and Molecular Biology, University of Giessen, 35392 Giessen, Germany
| | - Susanne Barth-Weber
- Institute of Microbiology and Molecular Biology, University of Giessen, 35392 Giessen, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany
| | - Dörte Becher
- Institute of Microbiology, University of Greifswald, 17489 Greifswald, Germany
| | - Christian H Ahrens
- Molecular Ecology, Agroscope and SIB Swiss Institute of Bioinformatics, 8046 Zurich, Switzerland
| | - Cynthia M Sharma
- Institute of Molecular Infection Biology, University of Würzburg, 97080 Würzburg, Germany
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6
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Hadjeras L, Bartel J, Maier LK, Maaß S, Vogel V, Svensson SL, Eggenhofer F, Gelhausen R, Müller T, Alkhnbashi OS, Backofen R, Becher D, Sharma CM, Marchfelder A. Revealing the small proteome of Haloferax volcanii by combining ribosome profiling and small-protein optimized mass spectrometry. MICROLIFE 2023; 4:uqad001. [PMID: 37223747 PMCID: PMC10117724 DOI: 10.1093/femsml/uqad001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/29/2022] [Accepted: 01/13/2023] [Indexed: 05/25/2023]
Abstract
In contrast to extensively studied prokaryotic 'small' transcriptomes (encompassing all small noncoding RNAs), small proteomes (here defined as including proteins ≤70 aa) are only now entering the limelight. The absence of a complete small protein catalogue in most prokaryotes precludes our understanding of how these molecules affect physiology. So far, archaeal genomes have not yet been analyzed broadly with a dedicated focus on small proteins. Here, we present a combinatorial approach, integrating experimental data from small protein-optimized mass spectrometry (MS) and ribosome profiling (Ribo-seq), to generate a high confidence inventory of small proteins in the model archaeon Haloferax volcanii. We demonstrate by MS and Ribo-seq that 67% of the 317 annotated small open reading frames (sORFs) are translated under standard growth conditions. Furthermore, annotation-independent analysis of Ribo-seq data showed ribosomal engagement for 47 novel sORFs in intergenic regions. A total of seven of these were also detected by proteomics, in addition to an eighth novel small protein solely identified by MS. We also provide independent experimental evidence in vivo for the translation of 12 sORFs (annotated and novel) using epitope tagging and western blotting, underlining the validity of our identification scheme. Several novel sORFs are conserved in Haloferax species and might have important functions. Based on our findings, we conclude that the small proteome of H. volcanii is larger than previously appreciated, and that combining MS with Ribo-seq is a powerful approach for the discovery of novel small protein coding genes in archaea.
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Affiliation(s)
- Lydia Hadjeras
- Department of Molecular Infection Biology II, Institute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2 / D15, 97080 Würzburg, Germany
| | - Jürgen Bartel
- Department of Microbial Proteomics, Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Str. 8, 17489 Greifswald, Germany
| | | | - Sandra Maaß
- Department of Microbial Proteomics, Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Str. 8, 17489 Greifswald, Germany
| | - Verena Vogel
- Biology II, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Sarah L Svensson
- Department of Molecular Infection Biology II, Institute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2 / D15, 97080 Würzburg, Germany
| | - Florian Eggenhofer
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Rick Gelhausen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Teresa Müller
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
| | - Omer S Alkhnbashi
- Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestr. 18, 79104 Freiburg, Germany
| | - Dörte Becher
- Department of Microbial Proteomics, Institute of Microbiology, University of Greifswald, Felix-Hausdorff-Str. 8, 17489 Greifswald, Germany
| | - Cynthia M Sharma
- Department of Molecular Infection Biology II, Institute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2 / D15, 97080 Würzburg, Germany
| | - Anita Marchfelder
- Biology II, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
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Vazquez-Laslop N, Sharma CM, Mankin A, Buskirk AR. Identifying Small Open Reading Frames in Prokaryotes with Ribosome Profiling. J Bacteriol 2022; 204:e0029421. [PMID: 34339296 PMCID: PMC8765392 DOI: 10.1128/jb.00294-21] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Small proteins encoded by open reading frames (ORFs) shorter than 50 codons (small ORFs [sORFs]) are often overlooked by annotation engines and are difficult to characterize using traditional biochemical techniques. Ribosome profiling has tremendous potential to empirically improve the annotations of prokaryotic genomes. Recent improvements in ribosome profiling methods for bacterial model organisms have revealed many new sORFs in well-characterized genomes. Antibiotics that trap ribosomes just after initiation have played a key role in these developments by allowing the unambiguous identification of the start codons (and, hence, the reading frame) for novel ORFs. Here, we describe these new methods and highlight critical controls and considerations for adapting ribosome profiling to different prokaryotic species.
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Affiliation(s)
- Nora Vazquez-Laslop
- Center for Biomolecular Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Cynthia M. Sharma
- Molecular Infection Biology II, Institute of Molecular Infection Biology, University of Würzburg, Würzburg, Germany
| | - Alexander Mankin
- Center for Biomolecular Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Allen R. Buskirk
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Steinberg R, Koch HG. The largely unexplored biology of small proteins in pro- and eukaryotes. FEBS J 2021; 288:7002-7024. [PMID: 33780127 DOI: 10.1111/febs.15845] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/11/2021] [Accepted: 03/26/2021] [Indexed: 12/29/2022]
Abstract
The large abundance of small open reading frames (smORFs) in prokaryotic and eukaryotic genomes and the plethora of smORF-encoded small proteins became only apparent with the constant advancements in bioinformatic, genomic, proteomic, and biochemical tools. Small proteins are typically defined as proteins of < 50 amino acids in prokaryotes and of less than 100 amino acids in eukaryotes, and their importance for cell physiology and cellular adaptation is only beginning to emerge. In contrast to antimicrobial peptides, which are secreted by prokaryotic and eukaryotic cells for combatting pathogens and competitors, small proteins act within the producing cell mainly by stabilizing protein assemblies and by modifying the activity of larger proteins. Production of small proteins is frequently linked to stress conditions or environmental changes, and therefore, cells seem to use small proteins as intracellular modifiers for adjusting cell metabolism to different intra- and extracellular cues. However, the size of small proteins imposes a major challenge for the cellular machinery required for protein folding and intracellular trafficking and recent data indicate that small proteins can engage distinct trafficking pathways. In the current review, we describe the diversity of small proteins in prokaryotes and eukaryotes, highlight distinct and common features, and illustrate how they are handled by the protein trafficking machineries in prokaryotic and eukaryotic cells. Finally, we also discuss future topics of research on this fascinating but largely unexplored group of proteins.
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Affiliation(s)
- Ruth Steinberg
- Institute for Biochemistry and Molecular Biology, Zentrum für Biochemie und Molekulare Medizin (ZMBZ), Faculty of Medicine, Albert-Ludwigs-Universität Freiburg, Germany
| | - Hans-Georg Koch
- Institute for Biochemistry and Molecular Biology, Zentrum für Biochemie und Molekulare Medizin (ZMBZ), Faculty of Medicine, Albert-Ludwigs-Universität Freiburg, Germany
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