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Lin, S.-Y.

Publications and source records attributed to Lin, S.-Y..

At least 19 recordsLinked to original sources

Siglec-G on B cells restrains the germinal center response by controlling T cell help during positive selection

The germinal center (GC) reaction requires tight regulation of B cell and T follicular helper (Tfh) cell interactions to ensure B cell expansion and antibody affinity maturation, while preventing oncogenesis. However, regulatory mechanisms fine-tuning B-T cell interactions within the GC to prevent aberrant activation and proliferation remain incompletely understood. Here, we identify Siglec-G, the mouse ortholog of human Siglec-10, as an immune checkpoint that restrains the GC by dampening B-T cell interactions. Selective and temporal ablation of Siglec-G on B cells after immunization triggers GC hyperplasia and enhanced plasma cell and antibody output. While Siglec-G is dispensable in B cell receptor (BCR)-mediated processes, it acts as an intrinsic inhibitory receptor of B-T cell interactions in the GC, ultimately limiting Myc and mTORC activation within positively selected GC B cells. Trans interactions of Siglec-G and its glycan ligands on Tfh likely contribute in fine-tuning the strength of bidirectional signaling following contact between GC B cells and Tfh cells. This interaction is further reinforced by glycan remodeling that occurs in the GC, resulting in concurrent decreased in glycan ligands on GC B cells and increased in glycan ligands on Tfh. This augmented binding of Siglec-G/10 on Tfh is mainly due to the upregulation of 2-6 linked sialic acid ligands. Moreover, APEX2-based proximity labeling revealed several candidate Siglec-G/10 binding partners on T cells, including BTLA, CD6, and Slamf6, which are known negative regulators of Tfh cell activation. Taken together, our findings identified that Siglec-G acts as a GC checkpoint receptor, restricting B cell proliferation by tuning T cell help following B-T cell interactions.

immunology↗

The abscopal effect of Combination IRE with anti-PD-1 achieves local ablation and systemic control of PDAC

Irreversible electroporation (IRE) has shown promise for treating pancreatic ductal adenocarcinoma (PDAC), but whether IRE can induce an abscopal effect is not established. We demonstrated that the combination of IRE and anti-PD-1 antibody could trigger robust abscopal effects in preclinical models of metastatic PDAC. Data from multiple in vivo models, RNA-seq, scRNA-seq, and spatial immunofluorescence provide compelling evidence that IRE induced mitochondrial dysfunction and cellular stress, which triggered activation of the cGAS-STING pathway and subsequent systemic antitumor effects. IRE also led to inflammatory response characterized by tumor infiltration of myeloid cells and their polarization toward M1 state, turning immunologically "cold" tumors into "hot" tumors. Moreover, the presence of T cell/B cell clusters in tumors from mice treated with IRE plus PD-1 and the lack of antitumor efficacy in B cell knockout mice bearing orthotopic murine PDAC tumors indicate that B cells play an important role in IRE-mediated systemic antitumor immunity. SignificanceThis study shows that IRE plus a checkpoint inhibitor represents a promising therapeutic strategy for PDAC and supports advancing this treatment toward clinical translation. Our data also support potential combination strategies with immunomodulatory agents that can recruit and reprogram B cells to support T cell activation and cytotoxic effector functions.

immunology↗

Investigating the skin response of Striped Catfish to acute ammonia stress reveals a potential exosome-based ammonia excretion system

Ammonia can rapidly accumulate in intensive aquaculture and pose serious threats to fish health. Fish skin functions as a vital immune-related organ and a significant surface barrier against ammonia; however, little is known about the skins response and to acute ammonia stress. In this study, Striped catfish were exposed to a half-lethal concentration of ammonia to evaluate skin responses. We found generalized inflammation in the liver, spleen, and skin. However, the skin tissue showed subtle signs of damage, with tissue ammonia concentration accumulating and then decreasing. Further transcriptomic analysis of skin gene function suggested a hypothesized ammonia regulation occurring within cell compartments. Cellular examination by transmission electron microscopy further showed that accumulated exosome-suspecting vesicles near the epithelial surface were associated with ammonia regulation during acute ammonia stress. Using a newly established Striped catfish skin epithelial cell line, along with an exosome inhibitor, confirms the presence of exosome vesicles and their role in ammonia excretion. In conclusion, acute ammonia stress induces inflammation in Striped catfish skin, while active ammonia excretion via exosomes may alleviate ammonia accumulation, thereby maintaining skin tissue integrity. This study explores Striped catfish skin responses to acute ammonia stress and highlights a newly identified mechanism of ammonia regulation in the skin. HighlightsO_LIFish skin can regulate ammonia concentrations and stress. C_LIO_LIExosomal vesicles are involved in the excretion of ammonia from the skin. C_LI

immunology↗

Phylogenetic Insights into Antifungal Susceptibility: Comparing Environmental and Clinical Scedosporium and Lomentospora Isolates from Taiwan

ObjectivesScedosporium and Lomentospora species are intrinsically resistant molds increasingly implicated in invasive infections with poor outcomes. Olorofim, a novel orotomide antifungal, has demonstrated potent activity against various molds. This study evaluated the antifungal susceptibility of clinical and environmental isolates, focusing on olorofim, and examined these data in a phylogenetic context. MethodsA total of 216 isolates (Scedosporium spp., n=205; L. prolificans, n=11) were collected from clinical and environmental sources across Taiwan. Species identification was confirmed by sequencing of the ITS and {beta}-tubulin regions, followed by maximum-likelihood phylogenetic analysis. Antifungal susceptibility was determined using CLSI M38-A3 method. Cross-resistance was evaluated using correlation analyses. Phylogenetic signal, Mantel tests, and variance partitioning were applied to assess the evolutionary structuring of minimum inhibitory concentrations (MICs). ResultsScedosporium apiospermum (46.3%) and S. boydii (15.7%) were the predominant species, exhibiting comparable triazole susceptibility profiles (MIC90: voriconazole 1-2 mg/L, posaconazole 4 mg/L, and isavuconazole 8 mg/L). L. prolificans displayed pan-resistance to all agents except olorofim. Among triazoles, voriconazole yielded the lowest MICs for most Scedosporium isolates. Olorofim exhibited the lowest MICs across Scedosporium spp. and L. prolificans (all MIC90 [≤]0.12 mg/L). Rare taxa (S. marinum, S. haikouense, S. multisporum, S. minutisporum, S. sp. nov.1) were also identified, exhibiting variable triazole MICs but consistently low olorofim MICs. The association between antifungal susceptibility and species relatedness varied by drug: moderate for posaconazole, amphotericin B, and voriconazole; intermediate for olorofim; weak for isavuconazole; and absent for itraconazole. Most MIC variability (72.5-89.2%) occurred within rather than between species. ConclusionsAntifungal susceptibility among Scedosporium spp. and L. prolificans was drug dependent. Olorofim demonstrated consistently low MICs across species, whereas amphotericin B and triazoles showed variable, species-specific activity. These findings highlight olorofim as a promising therapeutic option and emphasize the need for target gene-based investigations to elucidate the evolutionary basis of antifungal resistance.

microbiology↗

Correction: Replication of BRIT1/MCPH1 G2/M Checkpoint Function Confirms Original Conclusions

In our 2005 PNAS publication1, we reported that BRIT1/MCPH1 is required for proper activation of the G2/M checkpoint in response to DNA damage. A recent analysis using image comparison software, Proofig, identified a duplicated panel in Figure 2A, stemming from a figure assembly error in which data from a prior experiment involving a different gene (Claspin)2 were inadvertently reused. As the original data are no longer accessible due to the age of the experiment, we have independently repeated the G2/M checkpoint analysis. The new results fully confirm the original conclusion: BRIT1 depletion compromises G2/M arrest following ionizing radiation. This replication supports the integrity of our original findings and is provided in support of a formal correction requested by PNAS.

cell biology↗

An ultrasensitive and modular platform to detect Siglec ligands and control immune cell function

Siglecs are immunomodulatory receptors that regulate immune cell function. A fundamental challenge in studying Siglec-ligand interactions is the low affinity of Siglecs for their ligands. Inspired by how nature uses multivalency, we developed Siglec-liposomes as a highly multivalent and versatile platform for detecting Siglec glycan ligands in which recombinant Siglecs were conjugated to liposomes using the SpyCatcher-SpyTag system. Siglec-liposomes offer tunable multivalency and a modular assembly, enabling presentation of different Siglecs on the same liposome. Using Siglec-liposomes, we profiled Siglec ligands on human leukocytes, revealing new insights into Siglec ligands. Moreover, Siglec-liposomes are in vivo compatible, where we demonstrated that Siglec-7-liposomes bind to the brain vasculature in a mucin-dependent manner. Given the abundance of Siglec ligands on T cells, we investigated whether Siglec-liposomes modulate T cell function and find that Siglec-7-liposomes increase T cell proliferation in a ST3Gal1-dependent and CD43-independent manner. Taken together, Siglec-liposomes are a versatile and sensitive tool for detecting Siglec ligands and immunomodulation.

biochemistry↗

The unique molecular recognition features of Siglec-10: structural insights into sialoglycan and antibody interactions

Siglec-10 is a sialic acid-binding immunoglobulin-like lectin implicated in immune regulation, yet the molecular basis for ligand recognition and how this is functionally linked to immune modulation remains poorly defined. Herein, we present a multidisciplinary study encompassing structural, biochemical, and cellular approaches to elucidate Siglec-10-carbohydrate interactions and their functional consequences. The crystal structure of the extracellular domain of Siglec-10 in complex with 2-6 sialyllactose revealed the presence of two key arginine residues within the Siglec-10 binding site that interact with the carboxyl group of sialic acid, the canonical R119 and R127, suggesting potential dual contributions to ligand engagement. Saturation Transfer Difference (STD)-Nuclear Magnetic Resonance (NMR) confirmed that R119 is essential for sialoglycan binding in solution, whereas R127 appears dispensable for interactions with glycans under these conditions. In contrast, cell-based binding assays using primary human T cells and engineered monocytic lines demonstrated that both arginine residues (R119 and R127) are critical for cellular recognition, revealing a context-dependent interaction. By obtaining direct images at a molecular resolution of 6-7 nm, super-resolution microscopy further revealed glycan-independent dimerization of the Siglec-10 receptor on the surface of human monocytes. Ligand blockade mediated by anti-Siglec-10 mAb (clone S10A) restores CAR-T cell cytotoxicity in vitro, supporting its role as an immune checkpoint receptor. Finally, although CD24 was not identified as a Siglec-10 ligand on T cells, proximity labeling and mass spectrometry uncovered other sialylated glycoproteins that may mediate this interaction. Together, these results identify Siglec-10 as a modulatory receptor with structural and functional features distinct from other Siglec family members and highlight its potential for therapeutic targeting in cancer immunotherapy.

molecular biology↗

Structural basis of K11/K48-branched ubiquitin chain recognition by the human 26S proteasome

Beyond the canonical K48-linked homotypic polyubiquitination for proteasome-targeted proteolysis, K11/K48-branched ubiquitin (Ub) chains are involved in fast-tracking protein turnover during cell cycle progression and proteotoxic stress. Here, we report cryo-EM structures of human 26S proteasome in a complex with a K11/K48-branched Ub chain. The structures revealed a multivalent substrate recognition mechanism involving a hitherto unknown K11-linked Ub binding site at the groove formed by RPN2 and RPN10 in addition to the canonical K48-linkage binding site formed by RPN10 and RPT4/5 coiled-coil. Additionally, RPN2 recognizes an alternating K11-K48 linkage through a conserved motif similar to the K48-specific T1 binding site of RPN1. The insights gleaned from these structures explain the molecular mechanism underlying the recognition of the K11/K48 branched Ub as a priority signal in the ubiquitin-mediated proteasomal degradation.

biochemistry↗

Adaptive protein coevolution preserves telomere integrity

Many essential conserved functions depend, paradoxically, on proteins that evolve rapidly under positive selection. How such adaptively evolving proteins promote biological innovation while preserving conserved, essential functions remains unclear. Here, we experimentally test the hypothesis that adaptive protein-protein coevolution within an essential multi-protein complex mitigates the deleterious incidental byproducts of innovation under pressure from selfish genetic elements. We swapped a single, adaptively evolving subunit of a telomere protection complex from Drosophila yakuba into its close relative, D. melanogaster. The heterologous subunit uncovered a catastrophic interspecies incompatibility that caused lethal telomere fusions. Restoring six adaptively evolving sites on the protein-protein interaction surface, or introducing the D. yakuba interaction partner, rescued telomere integrity and viability. Our in vivo, evolution-guided manipulations illuminate how adaptive protein-protein coevolution preserves essential functions threatened by an evolutionary pressure to innovate.

evolutionary biology↗

The Taiwan Precision Medicine Initiative: A Cohort for Large-Scale Studies

The Taiwan Precision Medicine Initiative (TPMI), a project initiated by the Academia Sinica in collaboration with 16 major medical centers around Taiwan, has recruited 565,390 participants who consented to provide DNA samples for genetic profiling and grant access to their electronic medical records (EMR) for studies to develop precision medicine. Access to the EMR is both retrospective and prospective, allowing researchers to conduct prospective studies over time. Genetic profiling is done with population-optimized SNP arrays for the Han Chinese populations that enable genetic analyses such as genome-wide association, phenome-wide association, and polygenic risk score studies to evaluate common disease risk and pharmacogenetic response. Furthermore, the TPMI participants agree to be contacted for future research opportunities related to their genetic risks and receive personalized genetic risk profiles with health management recommendations. TPMI has established the TPMI Data Access Platform (TDAP), a central database and analysis platform that both safeguards the security of the data and facilitates academic research. The TPMI is the largest non-European cohort that merges genetic profiles with EMR in the world. With a cohort that can be followed over time, it can be utilized to validate genetic risk prediction models, conduct clinical trials to show the efficacy of risk-based health management, and optimize health policies based on genetic risks. In this report, we describe the TPMI study design, the population and genetic characteristics of the TPMI cohort, and the power it provides to conduct crucial studies in developing precision medicine on a population and personal level. As Han Chinese represent almost 20% of the worlds population, the results of TPMI studies will benefit >1.4 billion people around the world and serve as a model for developing population-based precision medicine.

genetics↗

Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway

Despite being essential for fertility, genome defence pathway genes often evolve rapidly. However, little is known about the molecular basis of this adaptation. Here, we characterize the evolution of a protein interaction network within the PIWI-interacting small RNA (piRNA) genome defence pathway in Drosophila at unprecedented scale and evolutionary resolution. We uncover pervasive rapid evolution of a protein interaction network anchored at the Heterochromatin Protein 1 (HP1) paralog Rhino. Using complementary phylogenetic analysis, high-throughput yeast-two-hybrid matrix screening, and in vivo interaction analyses in cross-species transgenic flies, we characterized three distinct evolutionary protein interaction trajectories across [~]40 million years of Drosophila evolution. The data set covering 11 piRNA pathway proteins of five Drosophila species revealed several protein interactions that are fully conserved, indicating functional conservation despite overall rapid amino acid sequence change. Other interactions are preserved through co-evolution and were detected only between proteins within or from closely related species. We also identified sets of species-restricted protein interactions which, through rewiring of a Rhino-anchored transcription factor network, may preserve critical roles in enabling and adapting piRNA production from heterochromatic loci. In sum, our analyses dissected principles of interaction evolution in an adaptively evolving protein-protein interaction network uncovering evolutionary and functional insight into germline piRNA production across Drosophila species. Our work provides key experimental evidence in support of a model proposing that intermolecular interaction innovation is a major molecular mechanism of evolutionary adaptation in protein-coding genes.

molecular biology↗

Spectroscopic assessment of flavor-related chemical compounds in fresh tea shoots using deep learning

This study employs a deep-learning method, Y-Net, to estimate 10 tea flavor-related chemical compounds (TFCC), including gallic acid, caffeine and eight catechin isomers, using fresh tea shoot reflectance and transmittance. The unique aspect of Y-Net lies in its utilization of dual inputs, reflectance and transmittance, which are seamlessly integrated within the Y-Net architecture. This architecture harnesses the power of a convolutional neural network-based residual network to fuse tea shoot spectra effectively. This strategic combination enhances the capacity of the model to discern intricate patterns in the optical characteristics of fresh tea shoots, providing a comprehensive framework for TFCC estimation. In this study, we destructively sampled tea shoots from tea farms in Alishan (Ali-Mountain) in Central Taiwan within the elevation range of 879-1552 m a.s.l. Tea shoot reflectance and transmittance data (n = 2032) within the optical region (400-2500 nm) were measured using a portable spectroradiometer and pre-processed using an algorithm; corresponding TFCC were qualified using the high-performance liquid chromatography analysis. To enhance the robustness and performance of Y-Net, we employed data augmentation techniques for model training. We compared the performances of Y-Net and seven other commonly utilized statistical, machine-/deep-learning models (partial least squared regression, Gaussian process, cubist, random forests and three feedforward neural networks) using root-mean-square error (RMSE). Furthermore, we assessed the prediction accuracies of Y-Net and Y-Net using spectra within the visible and near-infrared (VNIR) regions (for higher energy throughput and low-cost instruments) and reflectance only (for airborne and spaceborne remote sensing applications). The results showed that overall Y-Net (mean RMSE {+/-} standard deviation [SD] = 2.51 {+/-} 2.20 mg g-1) outperformed the other statistical, machine- and deep-learning models ([≥] 2.59 {+/-} 2.64 mg g-1), demonstrating its superiority in predicting TFCC. In addition, this original Y-Net also yielded slightly lower mean RMSE ({+/-} SD) compared with VNIR (2.76 {+/-} 2.41 mg g-1) and reflectance-only (2.68 {+/-} 2.74 mg g-1) Y-Nets using validation data. This study highlights the feasibility of using spectroscopy and Y-Net to assess minor biochemical components in fresh tea shoots and sheds light on the potential of the proposed approach for effective regional monitoring of tea shoot quality.

biochemistry↗

TIMAHAC: Streamlined Tandem IMAC-HILIC Workflow for Simultaneous and High-Throughput Plant Phosphoproteomics and N-glycoproteomics

Protein post-translational modifications (PTMs) are crucial in plant cellular processes, particularly in protein folding and signal transduction. N-glycosylation and phosphorylation are notably significant PTMs, playing essential roles in regulating plant responses to environmental stimuli. However, current sequential enrichment methods for simultaneous analysis of phosphoproteome and N-glycoproteome are labor-intensive and time-consuming, limiting their throughput. Addressing this challenge, this study introduces a novel tandem S-Trap-IMAC-HILIC (S-Trap: suspension trapping; IMAC: immobilized metal ion affinity chromatography; HILIC: hydrophilic interaction chromatography) strategy, termed TIMAHAC, for simultaneous analysis of plant phosphoproteomics and N-glycoproteomics. This approach integrates IMAC and HILIC into a tandem tip format, streamlining the enrichment process of phosphopeptides and N-glycopeptides. The key innovation lies in the use of a unified buffer system and an optimized enrichment sequence to enhance efficiency and reproducibility. The applicability of TIMAHAC was demonstrated by analyzing the Arabidopsis phosphoproteome and N-glycoproteome in response to abscisic acid (ABA) treatment. Up to 1,954 N-glycopeptides and 11,255 phosphopeptides were identified from Arabidopsis, indicating its scalability for plant tissues. Notably, distinct perturbation patterns were observed in the phosphoproteome and N-glycoproteome, suggesting their unique contributions to ABA response. Our results reveal that TIMAHAC offers a comprehensive approach to studying complex regulatory mechanisms and PTM interplay in plant biology, paving the way for in-depth investigations into plant signaling networks.

biochemistry↗

Probucol mitigates high-fat diet-induced cognitive and social impairments through disruption of redox-inflammation association

Obesity and its detrimental metabolic consequences are commonly recognized as risk factors for impairments in the central nervous system (CNS). However, the direct link between metabolic abnormalities and brain functions during high-fat feeding remains unclear. Here, we show that treatment with probucol, a cholesterol-lowering drug, counteracts the cognitive and social impairments induced by a high-fat diet in mice, while having no effect on mood disorders. Unexpectedly, the beneficial effects of probucol do not result from rectifying obesity or restoring glucose and lipid homeostasis, as evidenced by the lack of change in body weight, blood glucose and serum cholesterol levels. Interestingly, high-fat feeding led to association among the levels of redox factors, including oxidized low-density lipoprotein, glutathione and malondialdehyde, as well as a significant negative correlation between malondialdehyde levels and behavioral performance. Probucol treatment interrupts these linkages and differentially regulates the proteins for the generation of reactive oxygen species and reactive nitrogen species in the brain. These findings prompt a reconsideration of the mechanism of action of probucol, as well as the roles of altered metabolic profiles and free radicals in brain function.

animal behavior and cognition↗

Hydrogen Sulfide Coordinates Glucose Metabolism Switch through Destabilizing Tetrameric Pyruvate Kinase M2

Cancer cells reprogram their glucose metabolic pathway from oxidative phosphorylation toward aerobic glycolysis. Pyruvate kinase M2 (PKM2), which converts phosphoenolpyruvate (PEP) to pyruvate, is considered the rate-limiting enzyme involved in cancer glucose metabolism. By reducing PKM2 enzyme activity, cancer cells attain a greater fraction of glycolytic metabolites for macromolecule synthesis needed for rapid proliferation. Here we demonstrate that hydrogen sulfide (H2S) destabilizes PKM2 tetramer into dimer/monomer, leading to reduced PKM2 enzyme activity and an increase in the activation of nuclear transcriptional genes mediated by dimeric PKM2. Proteomic profiling of endogenous PKM2 reveals the occurrence of sulfhydration at cysteines, notably at cysteine 326. Blocking PKM2 sulfhydration at cysteine 326 through amino acid mutation stabilizes PKM2 tetramer and crystal structure further indicating that the tetramer organization of PKM2C326S is different from the currently known T or R states, revealing PKM2C326S as a newly identified form. The presence of a PKM2C326S mutant in cancer cells effectively rewires glucose metabolism to mitochondrial respiration, resulting in the significant inhibition of tumor growth. Collectively, PKM2 sulfhydration by H2S serves as a glucose metabolic rewiring mechanism in promoting tumorigenesis, and inhibition of PKM2 sulfhydration may be applied as a new therapeutic approach targeting cancer metabolism. One-Sentence SummaryH2S rewires glucose metabolism by destabilizing PKM2 tetramerization majorly through sulfhydration at cysteine 326 HighlightsO_LIH2S enhances PKM2 dissociation from tetramer to dimer to facilitate dimeric PKM2 nuclear translocation. C_LIO_LIH2S modifies PKM2 sulfhydration, notably at cysteine 326. C_LIO_LIThe crystal structure reveals PKM2C326S as a unique tetramer conformation. C_LIO_LIBlockage of PKM2 sulfhydration at C326 rewires cancer glucose metabolism and significantly inhibits tumor growth. C_LI

cancer biology↗

AMPK targets PDZD8 to trigger carbon source shift to glutamine

The shift of carbon utilisation from glucose to other nutrients is a fundamental metabolic adaptation to cope with the decreased glucose oxidation during fasting or starvation1. AMP-activated protein kinase (AMPK) plays crucial roles in manifesting physiological benefits accompanying glucose starvation or calorie restriction2. However, the underlying mechanisms are unclear. Here, we show that low glucose-induced activation of AMPK plays a decisive role in the shift of carbon utilisation from glucose to glutamine. We demonstrate that endoplasmic reticulum (ER)-localised PDZD8, which we identify to be a new substrate of AMPK, is required for the glucose starvation-promoted glutaminolysis. AMPK phosphorylates PDZD8 at threonine 527 (T527), and promotes it to interact with and activate the mitochondrial glutaminase 1 (GLS1), a rate-limiting enzyme of glutaminolysis3-5, and as a result the ER-mitochondria contact is strengthened. In vivo, PDZD8 enhances glutaminolysis, and triggers mitohormesis that is required for extension of lifespan and healthspan in Caenorhabditis elegans subjected to glucose starvation or caloric restriction. Muscle-specific re-introduction of wildtype PDZD8, but not the AMPK-unphosphorylable PDZD8-T527A mutant, to PDZD8-/- mice is able to rescue the increase of glutaminolysis, and the rejuvenating effects of caloric restriction in aged mice, including grip strength and running capacity. Together, these findings reveal an AMPK-PDZD8-GLS1 axis that promotes glutaminolysis and executes the anti-ageing effects of calorie restriction by promoting inter-organelle crosstalk between ER and mitochondria.

cell biology↗

A Suspension Trapping-Based Sample Preparation Workflow for Sensitive Plant Phosphoproteomics

Plant phosphoproteomics provides a global view of phosphorylation-mediated signaling in plants; however, it demands high-throughput methods with sensitive detection and accurate quantification. Although protein precipitation is indispensable for removing contaminants and improving sample purity, it limits the sensitivity and throughput of plant phosphoproteomic analysis. The multiple handling steps involved in protein precipitation lead to sample loss and process variability. Herein, we developed an approach based on suspension trapping (S-Trap), termed tandem S-Trap-IMAC (immobilized metal ion affinity chromatography), by integrating an S-Trap micro column with an Fe-IMAC tip. Compared with a precipitation-based workflow, the tandem S-Trap-IMAC method deepened the coverage of the Arabidopsis (Arabidopsis thaliana) phosphoproteome by more than 30%, with improved quantification accuracy and short sample processing time. We applied the tandem S-Trap-IMAC method for studying abscisic acid (ABA) signaling in Arabidopsis seedlings. We thus identified 24,055 phosphopeptides and quantified several key phosphorylation sites on core ABA signaling components across four time points. Our results show that the optimized workflow aids high-throughput phosphoproteome profiling of low-input plant samples.

biochemistry↗

Beyond BRCA: Discovery of novel causes and consequences of homologous recombination deficiencies

Since the discovery of BRCA1 and BRCA2 mutations as cancer risk factors, we have gained substantial insight into their role in maintaining genomic stability through homologous recombination (HR) DNA repair. However, upon pan-cancer analysis of tumors from The Cancer Genome Atlas (TCGA), we found that mutations in BRCA1/2 and other classical HR genes only identified 10-20% of tumors that display genomic evidence of HR deficiency (HRD), suggesting that the cause of the vast majority of HR defects in tumors is unknown. As HRD both predisposes individuals to cancer development and leads to therapeutic vulnerabilities, it is critical to define the spectrum of genetic events that drive HRD. Here, we employed a network-based approach leveraging the abundance of molecular characterization data from TCGA to identify novel drivers of HRD. We discovered that over half of putative genes driving HRD originated outside of canonical DNA damage response genes, with a particular enrichment for RNA binding protein (RBP)-encoding genes. These novel drivers of HRD were cross-validated using an independent ICGC cohort, and were enriched in GWAS loci associated with cancer risk. Experimental approaches validated over 90% of our predictions in a panel of 50 genes tested by siRNA and 31 additional engineered mutations identified from TCGA patient tumors. Moreover, genetic suppression of identified RBPs or pharmacological inhibition of RBPs induced PARP inhibition. Further mechanistic studies indicate that some RBPs are recruited to sites of DNA damage to facilitate repair, whereas others control the expression of canonical HR genes. Overall, this study greatly expands the repertoire of known drivers of HRD and their contributions to DNA damage repair, which has implications for not only future mechanistic studies, but also for genetic screening and therapy stratification. HIGHLIGHTSO_LIThe majority of HR deficiencies detected cannot be directly attributed to aberrations in canonical HR genes. C_LIO_LIIntegrated network analysis identifies RNA binding proteins (RBPs) as a novel driver of HR deficiency in patient tumors. C_LIO_LIRBP dysfunction can produce HR deficiencies through both dysregulation of canonical HR genes and action at sites of DNA damage. C_LI

systems biology↗