Proteomics articles within Nature Communications

Proteomics can define features of proteome foldedness by assessing the reactivity of surface exposed amino acids. Here, the authors show that such exposure patterns yield insight to structural changes in chaperones as they bind to unfolded proteins in urea-denatured mammalian cell lysate.

Poor peptide fragmentation and unusual glycan structures limit mass spectrometry-based analysis of intact N-glycopeptides. Here, the authors develop Glyco-Decipher, a glycan-independent peptide search tool, to tackle these issues and improve the coverage of site-specific glycan analysis.

Childhood acute lymphoblastic leukemia is characterised by a range of genetic aberrations. Here, the authors use multi-omics profiling of ALL cell lines to connect molecular phenotypes and drug responses to provide an interactive resource of drug sensitivity.

cGAS senses viral DNA and forms cytosolic cGAS-DNA granules to mediate anti-DNA viral signaling pathway. Here the authors show that PCBP2 interacts with cGAS and antagonizes condensation of cGAS-DNA granules, thus maintaining host immune homeostasis.

Lysine benzoylation (Kbz) is a recently discovered histone modification. Here, the authors characterize writers, erasers and readers of histone Kbz in S. cerevisiae and identify non-histone proteins bearing Kbz, laying foundations to dissect the roles of Kbz in diverse cellular processes.

Davies et al. identify a putative mechanism underlying the childhood neurological disorder AP-4 deficiency syndrome. In the absence of AP-4, an enzyme that makes 2-AG is not transported to the axon, leading to axonal growth defects, which can be rescued by inhibition of 2-AG breakdown.

No targeted therapy has been approved yet for the treatment of T cell acute lymphoblastic leukemia. Here the authors show that unbiased phosphoproteomic profiling can identify targetable kinases and guide the design of personalized combination treatments using kinase inhibitors.

Acquired resistance to immunomodulatory drugs is common in multiple myeloma patients, but rarely attributed to genetic alterations. Here, proteomic, phosphoproteomic and RNA sequencing analysis in five paired pre-treatment and relapse samples reveals a CDK6-regulated protein resistance signature.

Skeletal muscle stem cells are actively maintained in quiescence, but can activate quickly upon extrinsic stimulation. Here the authors show that CPEB1 promotes muscle stem cell activation by reprogramming the translational landscape.

N-terminal protein acetylation is required for plant viability. Here the authors show that reducing N-terminal acetylation by NatA leads to an increase in global protein turnover that is facilitated by absent masking of a novel N-degron

The spatial organisation of cells and molecules plays a key role in tissue function. Here the authors report Spatial MultiOmics (SM-Omics) as a fully automated, high-throughput all-sequencing based platform for combined and spatially resolved transcriptomics and antibody-based protein measurements.

Transcription factors (TFs) interact with several other proteins in the process of transcriptional regulation. Here the authors identify 6703 and 1536 protein–protein interactions for 109 different human TFs through BioID and AP-MS analyses, respectively.

Distant metastasis is a major reason for mortality in patients with prostate cancer (PC). Here, the authors show that receptor-interacting protein kinase 2 (RIPK2) stabilizes c-Myc and its targeting impairs PC metastasis development.

Finding the genetic basis of protein expression can elucidate the genetic mechanisms of disease. Here, the authors link low-frequency and common DNA sequence variants to thousands of serum proteins, finding genetic overlap between circulating proteins and a wide range of common diseases.

Circulating proteins have been linked to many conditions, and understanding their genetic control can lead to understanding of disease. Here, the authors associate common genetic variants with protein levels, finding overlap of genetic associations with circulating proteins and complex disease.

Numerous disease-associated variants have been described in GWAS for atrial fibrillation. Here the authors integrate omics data to investigate the consequences of genetic variants for transcript and protein levels in the atrium of the human heart. With this multi-omics approach, authors reveal the regulatory network underlying atrial fibrillation and provide a resource for cardiac gene prioritization.

The protein corona is a key component controlling biological activity, that develops on foreign materials when introduced to biological environments. This comment discusses the risk of errors from poor methodology that can lead to misinterpretation and poor corona analysis which can impact diagnostic and clinical applications.

Single-cell proteomics is an emerging approach to characterize cell-to-cell differences. Here, the authors develop chips that enable complete proteomic sample processing down to the single-cell level and integrate them with DIA-MS into a streamlined single-cell proteomics workflow.

PROTACs and molecular glues target E3 ubiquitin ligases to substrate proteins. Here, the authors develop a proximity biotinylation-based method to identify drug-induced E3 ligase-substrate interactions, enabling the assessment of the target spectrum of PROTACs and molecular glues in cells.

R-loops are three-stranded nucleic acid structures that contribute to genome instability and accumulate in neurological diseases. Here the authors identify R-loop proximal factors, which are enriched for zinc finger and homeodomain proteins, including activity-dependent neuroprotective protein (ADNP). ADNP plays a role in R-loop resolution and loss-of-function leads to R-loop accumulation.

Post-translational modifications (PTMs) can regulate cellular protein function but their global impact on protein turnover is largely unknown. Here, the authors develop proteomic workflows to profile PTM-resolved protein turnover and analyze the effects of phosphorylation, acetylation and ubiquitination.

Gioblastoma tumours consist of different niches defined by histology. Here, the authors use proteomics and machine learning to assign protein expression programs to these niches, and reveal that KRAS and hypoxia are associated with drug resistance.

Transcription can pose a threat to genomic instability through the formation of R-loops, which are RNA–DNA hybrids with a displaced non-template DNA strand. Here the authors mapped the R-loop proximal proteome in human cells and identified a role of the tumor suppressor DDX41 in opposing R-loop and double strand DNA break accumulation in gene promoters.

The authors present CAMPI, a large-scale multi-lab comparison of diverse metaproteomics workflows. CAMPI provides insights into the robustness of current methods, suggests further improvements to the field, and may pave the way for future community-driven metaproteomics projects.

Protein activity regulated by phosphorylation can result in subcellular relocation. Here, the authors present a high throughput spatial phosphoproteomics approach to profile six subcellular compartments, providing insights into EGFR and stress signalling dynamics.

Exercise training can be therapeutic but how mitochondria respond remains unclear. Here, the authors use multiple omics techniques to reveal a complex network of non-stoichiometric mitochondrial adaptations that are prioritized or deprioritised during different phases of exercise training.

The spatial organization of cell surface receptors is critical for cell signaling and drug action. Here, the authors develop an optoproteomic method for mapping surface protein interactions, revealing cellular responses to antibodies, drugs and viral particles as well as immunosynapse signaling events.

Protein turnover underpins biology but is challenging to measure in vivo across the entire proteome. Here, the authors provide a comprehensive resource of protein turnover in mouse tissues and develop a visualization platform to analyze these data.

Many interactions between viral and host proteins are mediated by short peptide motifs. Here, using a phage-based viral peptide library, the authors identify 269 peptide-based interactions for 18 coronaviruses, including an interaction between SARS-CoV-2 N and G3BP1/2 that affects stress granules.

Targeting tumor-associated antigens in paediatric medulloblastomas (MB) is challenging due to their low mutational burden. Here, the authors develop a sensitive proteogenomic approach to identify tumour specific neoantigens, which may enable personalised T cell immunotherapy in paediatric MB.

The coverage and throughput of data-independent acquisition (DIA)-based phosphoproteomics is limited by its dependence on experimental spectral libraries. Here the authors develop a DIA workflow based on in silico spectral libraries generated by a novel deep neural network to expand phosphoproteome coverage.

Several proteomic approaches allow the analysis of covalent protein SUMOylation, but it remains challenging to systematically study the consequences of a substrate being modified. Here, the authors combine proximity biotinylation and protein-fragment complementation to identify SUMO-dependent protein interactors.

Accumulation of advanced glycation end products such as carboxymethyllysine (CML) has been associated with aging but their molecular roles are largely unclear. Here, the authors use proteomics to identify CML sites and show that CML formation affects protein homeostasis and cell proliferation.

To characterize molecular changes during cell type transitions, the authors develop a method to simultaneously measure protein expression and thermal stability changes. They apply this approach to study differences between human pluripotent stem cells, their progenies, parental and allogeneic cells.

Factors controlling release of loaded cargo from polycationic gene delivery vectors are still poorly understood. Here, the authors report on a study of mechanisms of RNA release, highlighting the role of competitive binding, and characterise the interactome associated with vectors upon cytosolic entry.

The exact protein features that control passage through the eukaryotic secretory system remain largely unknown. Here the authors report SECRiFY which they use to evaluate the secretory potential of polypeptides on a proteome-wide scale in yeast, revealing a role for flexibility and intrinsic disorder.

Single-cell proteomics is an emerging technology but protein coverage, throughput and quantitation accuracy are often still insufficient. Here, the authors develop a nested nanowell chip that improves protein recovery, throughput and robustness of isobaric labeling-based quantitative single-cell proteomics.

Data independent acquisition (DIA) proteomics provides deep coverage and high quantitative accuracy, but is not yet well established in glycoproteomics. Here, the authors develop a DIA-based glycoproteomics workflow with stringent statistical controls to enable accurate glycopeptide identification.

Tumor necrosis factor (TNF) has various effects on phosphorylation-mediated cellular signaling. Combining phosphoproteomics, subcellular localization analyses and kinase inhibitor assays, the authors provide systems level insights into TNF signaling and identify modulators of TNF-induced cell death.

RNA-protein interactions play critical roles in post-transcriptional gene regulation. Here the authors demonstrate pRBS-ID, an updated MS/MS-based method that combines the benefits of photoactivatable ribonucleosides and the chemical cleavage of RNA.

Both ubiquitin and NEDD8 can be phosphorylated, but the biological role of NEDD8 phosphorylation remains unclear. Here, the authors identify similarities and differences of ubiquitin and NEDD8 phosphorylation, showing that phosphorylated NEDD8 has a distinct interactome and regulates HSP70 proteins.

ADP-ribosylation is regulated by HPF1 and ARH3, but the cellular target spectrum of these enzymes is not fully understood. Here, the authors use quantitative proteomics to define the HPF1- and ARH3-dependent ADP-ribosylome, providing evidence that mono-ADP-ribosylation of serine predominates in cells.

The number of publicly available proteomics datasets is growing rapidly, but a standardized approach for describing the associated metadata is lacking. Here, the authors propose a format and a software pipeline to present and validate metadata, and integrate them into ProteomeXchange repositories.

Diadenosine polyphosphates (ApAs) are involved in cellular stress signaling but only a few molecular targets have been characterized so far. Here, the authors develop Ap_nA-based photoaffinity-labeling probes and use them to identify Ap₃A and Ap₄A binding proteins in human cell lysates.

More and more clinical studies include potentially sensitive human proteomics or metabolomics datasets, but bioinformatics resources for managing the access to these data are not yet available. This commentary discusses current best practices and future perspectives for the responsible handling of clinical proteomics and metabolomics data.

“Protein relocalisation plays a major role in the innate immune response but remains incompletely characterised. Here, the authors combine temporal proteomics with LOPIT, a spatial proteomic workflow, in a fully Bayesian framework to elucidate spatiotemporal proteomic changes during the LPS-induced immune response in THP-1 cells.

During microbial infection, proteins are modified by the ubiquitin-like protein ISG15. Here, the authors uncover RNF213 as a sensor for ISGylated proteins on the surface of lipid droplets, showing that RNF213 has antiviral properties but also directly targets intracellular bacteria in infected cells.

The mechanisms that allow cancer cells to survive with monosomies are poorly understood. Here the authors analyse p53-deficient monosomic cell lines using transcriptomics and proteomics, and find that impaired ribosome biogenesis and p53 downregulation are associated with sustained monosomies.

Combining improved sample preparation, data-independent acquisition mass spectrometry and deep learning, the authors develop a workflow for more robust and precise quantitative ubiquitinome profiling. They use this method to characterize targets of the deubiquitinase USP7 and effects of USP7 inhibitors.