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Plants are essential for life and are extremely diverse organisms with unique molecular capabilities. Here we present a quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana. Our analysis provides initial answers to how many genes exist as proteins (more than 18,000), where they are expressed, in which approximate quantities (a dynamic range of more than six orders of magnitude) and to what extent they are phosphorylated (over 43,000 sites). We present examples of how the data may be used, such as to discover proteins that are translated from short open-reading frames, to uncover sequence motifs that are involved in the regulation of protein production, and to identify tissue-specific protein complexes or phosphorylation-mediated signalling events. Interactive access to this resource for the plant community is provided by the ProteomicsDB and ATHENA databases, which include powerful bioinformatics tools to explore and characterize Arabidopsis proteins, their modifications and interactions.
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http://dx.doi.org/10.1038/s41586-020-2094-2 | DOI Listing |
J Proteome Res
September 2025
Organ Pathobiology and Therapeutics Institute The University of Pittsburgh, Pittsburgh, Pennsylvania 15223, United States.
Nearly all methods of mass-spectrometry-based proteomics rely on knowing the proteome of the species. In less studied organisms without annotated genomes, it can seem impossible to perform proteomic analysis. In this study, we sought to answer the question: does enough information exist to do proteomics on any organism we want? As a case study, we started with material available due to an infestation of a home with black widow spiders.
View Article and Find Full Text PDFMol Cell Proteomics
April 2025
Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, Victoria, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, Victoria, Australia. Ele
Protein compartmentalization to distinctive subcellular niches is critical for cardiac function and homeostasis. Here, we employed a rapid and robust workflow based on differential centrifugal-based fractionation with mass spectrometry-based proteomics and bioinformatic analyses for systemic mapping of the subcellular proteome of mouse heart. Using supervised machine learning of 450 hallmark protein markers from 16 subcellular niches, we further refined the subcellular information of 2083 proteins with high confidence.
View Article and Find Full Text PDFEur J Mass Spectrom (Chichester)
October 2024
Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Present work describes the development of a liquid chromatography tandem mass spectrometry-based bioanalytical method for the reliable simultaneous quantification of docetaxel (DXL) and carvacrol (CVL) in the mice plasma. A rapid and sensitive bioanalytical method was developed and optimized in mice plasma using Paclitaxel as an internal standard. Validation of the bioanalytical method was performed according to the ICH M10 guideline covering the range of 9.
View Article and Find Full Text PDFNat Rev Mol Cell Biol
January 2024
Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA.
Mitochondria are multifaceted organelles with key roles in anabolic and catabolic metabolism, bioenergetics, cellular signalling and nutrient sensing, and programmed cell death processes. Their diverse functions are enabled by a sophisticated set of protein components encoded by the nuclear and mitochondrial genomes. The extent and complexity of the mitochondrial proteome remained unclear for decades.
View Article and Find Full Text PDFMol Syst Biol
April 2023
Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Vibrio natriegens is a Gram-negative bacterium with an exceptional growth rate that has the potential to become a standard biotechnological host for laboratory and industrial bioproduction. Despite this burgeoning interest, the current lack of organism-specific qualitative and quantitative computational tools has hampered the community's ability to rationally engineer this bacterium. In this study, we present the first genome-scale metabolic model (GSMM) of V.
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