Publications by authors named "Keyun Wang"

By using a limited-proteolysis strategy that employs a large amount of trypsin to generate peptides directly from native proteins, we found that ligand-induced protein local stability shifts can be sensitively detected on a proteome-wide scale. This enabled us to develop the peptide-centric local stability assay, a modification-free approach that achieves unprecedented sensitivity in proteome-wide target identification and binding-region determination. We demonstrate the broad applications of the peptide-centric local stability assay by investigating interactions across various biological contexts.

View Article and Find Full Text PDF

Protein methylation is a functionally important post-translational modification that occurs on diverse amino acid residues. The current proteomics approaches are inefficient to discover the methylation on residues other than Arg and Lys, which hinders the deep understanding of the functional role of rare protein methylation. Herein, we present a methyl-specific metabolic labeling approach for global methylome mapping, which enable the acquisition of methylome dataset covering diverse methylation types.

View Article and Find Full Text PDF

Arginine methylation is one of the most important post-translational modifications involved in the regulation of numerous biological processes. To better understand the biological significance of arginine methylation, enrichment methods need to be developed to analyze the methylated proteome at large-scale. Unfortunately, the prevailing enrichment method based on immunoaffinity purification can only enrich a subset of them due to the lack of pan-specific antibodies.

View Article and Find Full Text PDF

Introduction: Cardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to support clinical decision making and improve patient prognosis.

Methods: Electronic medical records from patients with CKD at a single center from 2015 to 2020 were used to develop machine learning models for the prediction of CVD.

View Article and Find Full Text PDF

Introduction: There are no standardized assessment criteria for selecting nutritional risk screening tools or indicators to assess reduced muscle mass (RMM) in the Global Leadership Initiative on Malnutrition (GLIM) criteria. We aimed to compare the consistency of different GLIM criteria with Subjective Global Assessment (SGA) and protein-energy wasting (PEW).

Methods: In this study, nutritional risk screening 2002 first four questions (NRS-2002-4Q), Nutritional Risk Screening 2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST), and Mini-Nutritional Assessment Short-Form (MNA-SF) tools were used as the first step of nutritional risk screening for the GLIM.

View Article and Find Full Text PDF

The fusion peptide (FP) on the HIV-1 envelope (Env) trimer can be targeted by broadly neutralizing antibodies (bNAbs). Here, we evaluated the ability of a human FP-directed bNAb, VRC34.01, along with two vaccine-elicited anti-FP rhesus macaque mAbs, DFPH-a.

View Article and Find Full Text PDF

CDK11 is an emerging druggable target for cancer therapy due to its prevalent roles in phosphorylating critical transcription and splicing factors and in facilitating cell cycle progression in cancer cells. Like other cyclin-dependent kinases, CDK11 requires its cognate cyclin, cyclin L1 or cyclin L2, for activation. However, little is known about how CDK11 activities might be modulated by other regulators.

View Article and Find Full Text PDF

Protein methylation is receiving more and more attention due to its essential role in diverse biological processes. Large-scale analysis of protein methylation requires the efficient identification of methylated peptides at the proteome level; unfortunately, a significant number of methylated peptides are highly hydrophilic and hardly retained during reversed-phase chromatography, making it difficult to be identified by conventional approaches. Herein, we report the development of a novel strategy by combining hydrophobic derivatization and high pH strong cation exchange enrichment, which significantly expands the identification coverage of the methylproteome.

View Article and Find Full Text PDF

Target proteins are often stabilized after binding with a ligand and thereby typically become more resistant to denaturation. Based on this phenomenon, several methods without the need to covalently modify the ligand have been developed to identify target proteins for a specific ligand. These methods usually employ complicated workflows with high cost and limited throughput.

View Article and Find Full Text PDF

To decipher the biological function of protein arginine methyltransferases (PRMTs), the identification of their substrate proteins is crucial. However, this is not a trivial task as the stable and strong interacting proteins always prevail over the weak and transient substrate proteins. Herein, we report the development of a novel photoreactive probe-based strategy to identify the substrate proteins of methyltransferases.

View Article and Find Full Text PDF

Histidine methylation serves as an intriguing strategy to introduce altered traits of target proteins, including metal ion chelation, histidine-based catalysis, molecular assembly, and translation regulation. As a newly identified histidine methyltransferase, METTL9 catalyzes N1-methylation of protein substrates containing the "His-x-His" motif (HxH, x denotes small side chain residue). Here our structural and biochemical studies revealed that METTL9 specifically methylates the second histidine of the "HxH" motif, while exploiting the first one as a recognition signature.

View Article and Find Full Text PDF
Article Synopsis
  • The study focuses on acute and early HIV infection (AEH) among men who have sex with men (MSM) in Tianjin, China, highlighting that nearly 50% of HIV-1 transmissions occur during this stage.
  • Researchers identified three sexual behavior trajectories (consistent low risk, consistent high risk, and high to low risk) using group-based trajectory modeling, with a significantly higher risk of AEH infection in the high-risk groups compared to the low-risk group.
  • The findings suggest that age and recent HIV testing are associated with higher-risk behavior trajectories, indicating a need for targeted interventions among MSM, particularly those in the high-risk categories.
View Article and Find Full Text PDF

Fully understanding the target spaces of drugs is essential for investigating the mechanism of drug action and side effects, as well as for drug discovery and repurposing. In this study, we present an energetics-based approach, termed pH-dependent protein precipitation (pHDPP), to probe the ligand-induced protein stability shift for proteome-wide drug target identification. We demonstrate that pHDPP works for a diverse array of ligands, including a folate derivative, an ATP analog, a CDK inhibitor and an immunosuppressant, enabling highly specific identification of target proteins from total cell lysates.

View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to create a prostate cancer risk prediction model using common clinical indicators and evaluate AI technology's effectiveness in healthcare.
  • After preparing the data and selecting features, the study applied various machine learning models (random forest, support vector machine, back propagation neural network, and convolutional neural network) to predict prostate cancer risk, identifying random forest as the most effective model.
  • The research highlighted the significance of clinical indicators like inorganic phosphorus and triglycerides while developing an online tool for risk assessment, demonstrating the potential benefits of AI in enhancing medical diagnosis.
View Article and Find Full Text PDF

Protein lysine monomethylation is an important post-translational modification participated in regulating many biological processes. There is growing interest in identifying these methylation events. However, the introduction of one methyl group on lysine residues has negligible effect on changing the physical and chemical properties of proteins or peptides, making enriching and identifying monomethylated lysine (Kme1) proteins or peptides extraordinarily challenging.

View Article and Find Full Text PDF

Background: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution.

Methods: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects.

View Article and Find Full Text PDF

Broadly neutralizing antibodies (bNAbs) represent an alternative to drug therapy for the treatment of HIV-1 infection. Immunotherapy with single bNAbs often leads to emergence of escape variants, suggesting a potential benefit of combination bNAb therapy. Here, a trispecific bNAb reduces viremia 100- to 1000-fold in viremic SHIV-infected macaques.

View Article and Find Full Text PDF

Starch branching enzymes (SBEs) are key determinants of the structure and amount of the starch in plant organs, and as such, they have the capacity to influence plant growth, developmental, and fitness processes, and in addition, the industrial end-use of starch. However, little is known about the role of SBEs in determining starch structure-function relations in economically important horticultural crops such as fruit and leafy greens, many of which accumulate starch transiently. Further, a full understanding of the biological function of these types of starches is lacking.

View Article and Find Full Text PDF

Protein methylation as one of the most important post-translational modifications has been under the spotlight due to its essential role in many biological processes. Development of methods for large-scale analysis of protein methylation greatly accelerates the related researches. To date, antibody-based enrichment strategy is the most common approach for methylproteomics analysis.

View Article and Find Full Text PDF
Article Synopsis
  • Protein methylation, particularly on arginine and lysine, plays a key role in various cellular functions, and studying it helps understand its regulatory mechanisms.
  • A new chemical strategy was developed to effectively remove interfering histidine-containing peptides during protein analysis, allowing for better detection of low-abundance methylpeptides.
  • As a result, the study identified 333 methylation forms from 207 proteins, increasing identification by about 50%, with data accessible through ProteomeXchange (identifier PXD023845).
View Article and Find Full Text PDF

Thermal proteome profiling is a powerful energetic-based chemical proteomics method to reveal the ligand-protein interaction. However, the costly multiplexed isotopic labeling reagent, mainly Multiplexed isobaric tandem mass tag (TMT), and the long mass spectrometric time limits the wide application of this method. Here a simple and cost-effective strategy by using dimethyl labeling technique instead of TMT labeling is reported to quantify proteins and by using the peptides derived from the same protein to determine significantly changed proteins in one LC-MS run.

View Article and Find Full Text PDF

Protein methylation is one of the common post-translational modifications involved in diverse biological processes including signal transduction, transcriptional regulation, DNA repairing, gene activation, gene repression, and RNA processing. Due to technique limitation, the investigation of protein methylation in cancer cells is not well achieved, which hinders our understanding of the contribution of protein methylation to drug resistance. In this study, we analyzed the methylproteomes of both 5-fluorouracil (5-Fu) resistant Bel/5-Fu cell line and its parental Bel cell line by employing SPE-SCX based label-free quantitative proteomics.

View Article and Find Full Text PDF

Vertical transmission accounts for most human immunodeficiency virus (HIV) infection in children, and treatments for newborns are needed to abrogate infection or limit disease progression. We showed previously that short-term broadly neutralizing antibody (bNAb) therapy given 24 h after oral exposure cleared simian-human immunodeficiency virus (SHIV) in a macaque model of perinatal infection. Here, we report that all infants given either a single dose of bNAbs at 30 h, or a 21-day triple-drug ART regimen at 48 h, are aviremic with almost no virus in tissues.

View Article and Find Full Text PDF

VRC01 protects macaques from vaginal SHIV infection after a single high-dose challenge. Infusion of a simianized anti-α4β7 mAb (Rh-α4β7) just prior to, and during repeated vaginal exposures to SIVmac251 partially protected macaques from vaginal SIV infection and rescued CD4+ T cells. To investigate the impact of combining VRC01 and Rh-α4β7 on SHIV infection, 3 groups of macaques were treated with a suboptimal dosing of VRC01 alone or in combination with Rh-α4β7 or with control antibodies prior to the initiation of weekly vaginal exposures to a high dose (1000 TCID50) of SHIVAD8-EO.

View Article and Find Full Text PDF