Lichao Zhang

Antigen presentation profiling reveals recognition of lymphoma immunoglobulin neoantigens

Cancer somatic mutations can generate neoantigens that distinguish malignant from normal cells. However, the personalized identification and validation of neoantigens remains a major challenge. Here we discover neoantigens in human mantle-cell lymphomas by using an integrated genomic and proteomic strategy that interrogates tumour antigen peptides presented by major histocompatibility complex (MHC) class I and class II molecules. We applied this approach to systematically characterize MHC ligands from 17 patients. Remarkably, all discovered neoantigenic peptides were exclusively derived from the lymphoma immunoglobulin heavy- or light-chain variable regions. Although we identified MHC presentation of private polymorphic germline alleles, no mutated peptides were recovered from non-immunoglobulin somatically mutated genes. Somatic mutations within the immunoglobulin variable region were almost exclusively presented by MHC class II. We isolated circulating CD4+ T cells specific for immunoglobulin-derived neoantigens and found these cells could mediate killing of autologous lymphoma cells. These results demonstrate that an integrative approach combining MHC isolation, peptide identification, and exome sequencing is an effective platform to uncover tumour neoantigens. Application of this strategy to human lymphoma implicates immunoglobulin neoantigens as targets for lymphoma immunotherapy.

The Prenylated Proteome of Plasmodium falciparum Reveals Pathogen-specific Prenylation Activity and Drug Mechanism-of-action

Plasmodium parasites contain several unique membrane compartments in which prenylated proteins may play important roles in pathogenesis. Protein prenylation has also been proposed as an antimalarial drug target because farnesyltransferase inhibitors cause potent growth inhibition of blood-stage Plasmodium. However, the specific prenylated proteins that mediate antimalarial activity have yet to be identified. Given the potential for new parasite biology and elucidating drug mechanism-of-action, we performed a large-scale identification of the prenylated proteome in blood-stage P. falciparum parasites using an alkyne-labeled prenyl analog to specifically enrich parasite prenylated proteins. Twenty high-confidence candidates were identified, including several examples of pathogen-specific prenylation activity. One unique parasite prenylated protein was FYVE-containing coiled-coil protein (FCP), which is only conserved in Plasmodium and related Apicomplexan parasites and localizes to the parasite food vacuole. Targeting of FCP to this parasite-specific compartment was dependent on prenylation of its CaaX motif, as mutation of the prenylation site caused cytosolic mislocalization. We also showed that PfRab5b, which lacks C-terminal cysteines that are the only known site of Rab GTPase modification, is prenylated. Finally, we show that the THQ class of farnesyltransferase inhibitors abolishes FCP prenylation and causes its mislocalization, providing the first demonstration of a specific prenylated protein disrupted by antimalarial farnesyl transferase inhibitors. Altogether, these findings identify prenylated proteins that reveal unique parasite biology and are useful for evaluating prenyltransferase inhibitors for antimalarial drug development.

Isotope-targeted glycoproteomics (IsoTaG) analysis of sialylated N- and O-glycopeptides on an Orbitrap Fusion Tribrid using azido and alkynyl sugars.

Protein glycosylation is a post-translational modification (PTM) responsible for many aspects of proteomic diversity and biological regulation. Assignment of intact glycan structures to specific protein attachment sites is a critical step towards elucidating the function encoded in the glycome. Previously, we developed isotope-targeted glycoproteomics (IsoTaG) as a mass-independent mass spectrometry method to characterize azide-labeled intact glycopeptides from complex proteomes. Here, we extend the IsoTaG approach with the use of alkynyl sugars as metabolic labels and employ new probes in analysis of the sialylated glycoproteome from PC-3 cells. Using an Orbitrap Fusion Tribrid mass spectrometer, we identified 699 intact glycopeptides from 192 glycoproteins. These intact glycopeptides represent a total of eight sialylated glycan structures across 126 N- and 576 O-glycopeptides. IsoTaG is therefore an effective platform for identification of intact glycopeptides labeled by alkynyl or azido sugars and will facilitate further studies of the glycoproteome.

Characterization of protein complexes of the endoplasmic reticulum associated degradation E3 ubiquitin ligase Hrd1

Hrd1 is the core structural component of a large endoplasmic reticulum membrane-embedded protein complex that coordinates the destruction of folding-defective proteins in the early secretory pathway. Defining the composition, dynamics, and ultimately, the structure of the Hrd1 complex is a crucial step in understanding the molecular basis of glycoprotein quality control but has been hampered by the lack of suitable techniques to interrogate this complex under native conditions. In this study we used genome editing to generate clonal HEK293 (Hrd1.KI) cells harboring a homozygous insertion of a small tandem affinity tag knocked into the endogenous Hrd1 locus. We found that steady-state levels of tagged Hrd1 in these cells are indistinguishable from those of Hrd1 in unmodified cells and that the tagged variant is functional in supporting the degradation of well characterized luminal and membrane substrates. Analysis of detergent-solubilized Hrd1.KI cells indicates that the composition and stoichiometry of Hrd1 complexes are strongly influenced by Hrd1 expression levels. Analysis of affinity-captured Hrd1 complexes from these cells by size-exclusion chromatography, immunodepletion, and absolute quantification mass spectrometry identified two major high-molecular-mass complexes with distinct sets of interacting proteins and variable stoichiometries, suggesting a hitherto unrecognized heterogeneity in the functional units of Hrd1-mediated protein degradation.

The proteome of the malaria plastid organelle, a key anti-parasitic target

The apicoplast is an essential plastid organelle in malaria parasites (Plasmodium spp.) and a validated anti-parasitic target. A major hurdle to uncovering cryptic apicoplast pathways required for malaria pathogenesis is the lack of an organellar proteome. Here we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate the first high-confidence apicoplast proteome consisting of 346 proteins. Critically, the accuracy of this proteome significantly outperforms previous prediction-based methods. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly-discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways and prioritizing antimalarial drug targets.Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a non-photosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote-eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamation of bacterial and algal pathways. Because these pathways are distinct from the human host, the apicoplast is an excellent source of novel antimalarial targets. Despite its biomedical importance and evolutionary significance, the absence of a reliable apicoplast proteome has limited most studies to the handful of pathways identified by homology to bacteria or primary chloroplasts, precluding our ability to study the most novel apicoplast pathways. Here we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate a high-confidence apicoplast proteome consisting of 346 proteins. Critically, the high accuracy of this proteome significantly outperforms previous prediction-based methods and extends beyond other BioID studies of unique parasite compartments. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways derived from secondary endosymbiosis and prioritizing antimalarial drug targets.

Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites

Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a nonphotosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote–eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamation of bacterial and algal pathways. Because these pathways are distinct from the human host, the apicoplast is an excellent source of novel antimalarial targets. Despite its biomedical importance and evolutionary significance, the absence of a reliable apicoplast proteome has limited most studies to the handful of pathways identified by homology to bacteria or primary chloroplasts, precluding our ability to study the most novel apicoplast pathways. Here, we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate a high-confidence apicoplast proteome consisting of 346 proteins. Critically, the high accuracy of this proteome significantly outperforms previous prediction-based methods and extends beyond other BioID studies of unique parasite compartments. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways derived from secondary endosymbiosis and prioritizing antimalarial drug targets.

Parallel genome-wide CRISPR analysis identifies a role for heterotypic ubiquitin chains in ER-associated degradation

The ubiquitin proteasome system (UPS) maintains the integrity of the proteome and controls the abundance of key regulators of cellular function by selective protein degradation, but how foldingdefective proteins in the secretory system are selected from the large and diverse constellation of membrane and secretory proteins and efficiently delivered to proteasomes in the cytosol is not well understood. To determine the basis of substrate selectivity in human cells, we developed a transcriptional shut off approach to conduct parallel, unbiased, genome-wide CRISPR analysis of structurally and topologically diverse ER-associated degradation (ERAD) clients. Highly quantitative screen metrics allowed precise dissection of entire pathways, enabling identification of unique substrate-specific combinations of recognition and ubiquitin conjugation modules. Our analysis identified cytosolic ubiquitin conjugating machinery that has not been previously linked to ERAD but collaborates with membrane-integrated ubiquitin ligases to conjugate branched or mixed ubiquitin chains to promote efficient and processive substrate degradation.

Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors

Significance Biological membranes are semipermeable barriers that are composed primarily of phospholipid bilayers or monolayers and proteins. Proteins embedded within membranes are extremely diverse in structure and function. Some membrane-integrated proteins do not fully span phospholipid bilayers but play key roles in organizing membrane surfaces. How these monolayer-integrated proteins interact with membranes has not been systematically investigated, primarily because they are very difficult to distinguish from the far more common class of proteins that fully traverse the phospholipid bilayer. We describe an approach to systematically identify monolayer-integrated proteins and demonstrate that interfacial α-helices are a structural motif that directs membrane integration for this important class of membrane protein. Despite not spanning phospholipid bilayers, monotopic integral proteins (MIPs) play critical roles in organizing biochemical reactions on membrane surfaces. Defining the structural basis by which these proteins are anchored to membranes has been hampered by the paucity of unambiguously identified MIPs and a lack of computational tools that accurately distinguish monolayer-integrating motifs from bilayer-spanning transmembrane domains (TMDs). We used quantitative proteomics and statistical modeling to identify 87 high-confidence candidate MIPs in lipid droplets, including 21 proteins with predicted TMDs that cannot be accommodated in these monolayer-enveloped organelles. Systematic cysteine-scanning mutagenesis showed the predicted TMD of one candidate MIP, DHRS3, to be a partially buried amphipathic α-helix in both lipid droplet monolayers and the cytoplasmic leaflet of endoplasmic reticulum membrane bilayers. Coarse-grained molecular dynamics simulations support these observations, suggesting that this helix is most stable at the solvent–membrane interface. The simulations also predicted similar interfacial amphipathic helices when applied to seven additional MIPs from our dataset. Our findings suggest that interfacial helices may be a common motif by which MIPs are integrated into membranes, and provide high-throughput methods to identify and study MIPs.

From mystery to mechanism: can proteomics build systems-level understanding of our gut microbes?

Research over the past decade has firmly established gut microbiota as a critical component of human health. This immensely complex ecosystem is characterized by dynamic interactions between the host, diet, and the gut microbiota, and contributes to metabolic disorders, autoimmunity, and cancer [1,2]. Driven by large 16S ribosomal RNA (16S) and metagenomic sequencing efforts, foundational studies have described stereotypical changes in microbiota composition which reflect numerous states of health and pathology [3]. However, the mechanisms shaping how these fluctuations occur, and how these changes influence host physiology are poorly understood. Multi-omic, systems-level analyses stand to describe host–microbiota interactions with even greater resolution, and therefore promise to more rapidly unlock the gut microbiota’s therapeutic potential [4]*. A handful of recent studies have demonstrated the powerful, yet underexploited capability mass spectometry-based proteomics has for building quantitative models of the gut environment. Such ‘metaproteomic’ approaches represent an important way to add functional annotations to the extremely deep microbiome sequencing data generated across the globe. However, methodological and computational limitations in metaproteomic workflows will need to be overcome in order to build truly mechanistic understanding of host–microbe relationships.