The amount of public proteomics data is rapidly increasing but there is no standardized format to describe the sample metadata and their relationship with the dataset files in a way that fully supports their understanding or reanalysis. Here we propose to develop the transcriptomics data format MAGE-TAB into a standard representation for proteomics sample metadata. We implement MAGE-TAB-Proteomics in a crowdsourcing project to manually curate over 200 public datasets. We also describe tools and libraries to validate and submit sample metadata-related information to the PRIDE repository. We expect that these developments will improve the reproducibility and facilitate the reanalysis and integration of public proteomics datasets.

Chlamydomonas reinhardtii is a green unicellular eukaryotic model organism for studying relevant biological and biotechnological questions. The availability of genomic resources and the growing interest in C. reinhardtii as an emerging cell factory for the industrial production of biopharmaceuticals require an in-depth analysis of protein N-glycosylation in this organism. Accordingly, we used a comprehensive approach including genomic, glycomic, and glycoproteomic techniques to unravel the N-glycosylation pathway of C. reinhardtii. Using mass-spectrometry-based approaches, we found that both endogenous soluble and membrane-bound proteins carry predominantly oligomannosides ranging from Man-2 to Man-5. In addition, minor complex N-linked glycans were identified as being composed of partially 6-O-methylated Man-3 to Man-5 carrying one or two xylose residues. These findings were supported by results from a glycoproteomic approach that led to the identification of 86 glycoproteins. Here, a combination of in-source collision-induced dissodiation (CID) for glycan fragmentation followed by mass tag-triggered CID for peptide sequencing and PNGase F treatment of glycopeptides in the presence of ¹⁸O-labeled water in conjunction with CID mass spectrometric analyses were employed. In conclusion, our data support the notion that the biosynthesis and maturation of N-linked glycans in the endoplasmic reticulum and Golgi apparatus occur via a GnT I-independent pathway yielding novel complex N-linked glycans that maturate differently from their counterparts in land plants.

Motivation: In the new release of pymzML (v2.0), we have optimized the speed of this established tool for mass spectrometry data analysis to adapt to increasing amounts of data in mass spectrometry. Thus, we integrated faster libraries for numerical calculations, improved data retrieving algorithms and have optimized the source code. Importantly, to adapt to rapidly growing file sizes, we developed a generalizable compression scheme for very fast random access and applied this concept to mzML files to retrieve spectral data. Results: pymzML performs at par with established C programs when it comes to processing times. However, it offers the versatility of a scripting language, while adding unprecedented fast random access to compressed files. Additionally, we designed our compression scheme in such a general way that it can be applied to any field where fast random access to large data blocks in compressed files is desired. Availability and implementation: pymzML is freely available on https://github.com/pymzML/pymzML under GPL license. pymzML requires Python3.4+ and optionally numpy. Documentation available on http://pymzml.readthedocs.io.

Significance: To optimize photosynthetic performance and minimize photooxidative damage, photosynthetic organisms evolved to efficiently balance light energy absorption and electron transport with cellular energy requirements under constantly changing light conditions. The regulation of linear electron flow (LEF) and cyclic electron flow (CEF) contributes to this fine-tuning. Here we present a model of the formation and structural molecular organization of a CEF-performing photosystem I (PSI)–light harvesting complex I (LHCI)–cytochrome (cyt) b ₆ f supercomplex from the green alga Chlamydomonas reinhardtii . Such a structural arrangement could modulate the distinct operation of LEF and CEF to optimize light energy utilization, despite the same individual structural units contributing to these two different functional modes.

While many aspects of archaeal cell biology remain relatively unexplored, systems biology approaches like mass spectrometry (MS) based proteomics offer an opportunity for rapid advances. Unfortunately, the enormous amount of MS data generated often remains incompletely analyzed due to a lack of sophisticated bioinformatic tools and field-specific biological expertise for data interpretation. Here we present the initiation of the Archaeal Proteome Project (ArcPP), a community-based effort to comprehensively analyze archaeal proteomes. Starting with the model archaeon Haloferax volcanii, we reanalyze MS datasets from various strains and culture conditions. Optimized peptide spectrum matching, with strict control of false discovery rates, facilitates identifying > 72% of the reference proteome, with a median protein sequence coverage of 51%. These analyses, together with expert knowledge in diverse aspects of cell biology, provide meaningful insights into processes such as N-terminal protein maturation, N-glycosylation, and metabolism. Altogether, ArcPP serves as an invaluable blueprint for comprehensive prokaryotic proteomics.