Image7_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image8_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image5_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image3_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image6_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

First-in-human study to assess the safety, pharmacokinetics, and pharmacodynamics of BMS-986141, a novel, reversible, small-molecule, PAR4 agonist in non-Japanese and Japanese healthy participants

BMS-986141 is a novel, oral, protease-activated, receptor 4 (PAR4)-antagonist that exhibited robust antithrombotic activity and low bleeding risk in preclinical studies. The pharmacokinetic, pharmacodynamic, and tolerability profiles of BMS-986141 in healthy participants were assessed in a randomized, double-blind, placebo-controlled, single-ascending-dose (SAD; N = 60) study; a multiple-ascending-dose (MAD; N = 32) study; and a Japanese MAD (JMAD; N = 32) study. Exposure was dose-proportional for BMS-986141 2.5 mg and 150 mg; maximum concentrations were 17.6 ng/mL and 958 ng/mL; and areas under the curve (AUC) to infinity were 183 h* × ng/mL and 9207 h* × ng/mL, respectively. Mean half-life ranged from 33.7 to 44.7 hours across dose panels. The accumulation index following once-daily administration for 7 days suggested a 1.3- to 2-fold AUC increase at steady state. In the SAD study, BMS-986141 75 and 150 mg produced ≥80% inhibition of 25–100 µM PAR4 agonist peptide (AP)-induced platelet aggregation, without affecting PAR1-AP-induced platelet aggregation, through ≥24 hours postdose. In the MAD and JMAD studies, BMS-986141 doses ≥10 mg completely inhibited 12.5 μM and 25 μM PAR4-AP-induced platelet aggregation through 24 hours. This study found BMS-986141 was safe and well tolerated, with dose-proportional pharmacokinetics and concentration-dependent pharmacodynamics in healthy participants over a wide dose range. ClinicalTrials.gov ID: NCT02341638. Why was the study done?Antiplatelet therapies have shortcomings that limit their clinical utility, and there is an unmet need for a new, safe, and effective antiplatelet agent with reduced bleeding risk.PAR4 antagonists are a promising novel class of antiplatelet drugs due to late-stage inhibition of thrombus growth with minimal effects on platelet-driven hemostasis.BMS-986141 is a novel, potent, orally bioavailable, small-molecule antagonist specific for PAR4. Antiplatelet therapies have shortcomings that limit their clinical utility, and there is an unmet need for a new, safe, and effective antiplatelet agent with reduced bleeding risk. PAR4 antagonists are a promising novel class of antiplatelet drugs due to late-stage inhibition of thrombus growth with minimal effects on platelet-driven hemostasis. BMS-986141 is a novel, potent, orally bioavailable, small-molecule antagonist specific for PAR4. What is new?BMS-986141 is safe and well tolerated, with dose-proportional pharmacokinetics and concentration-dependent pharmacodynamics in healthy participants over a wide dose range.BMS-986141 has robust antithrombotic activity and low bleeding risk. BMS-986141 is safe and well tolerated, with dose-proportional pharmacokinetics and concentration-dependent pharmacodynamics in healthy participants over a wide dose range. BMS-986141 has robust antithrombotic activity and low bleeding risk. What is the impact?BMS-986141 has the potential to improve the benefit–risk of antiplatelet therapy in patients with atherothrombosis. BMS-986141 has the potential to improve the benefit–risk of antiplatelet therapy in patients with atherothrombosis.</p

Image1_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIFF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image4_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

Image2_Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration.TIF

Transcriptomes and DNA methylation of colon cancer at the single-cell level are used to identify marker genes and improve diagnoses and therapies. Seven colon cancer subtypes are recognized based on the single-cell RNA sequence, and the differentially expressed genes regulated by dysregulated methylation are identified as marker genes for different types of colon cancer. Compared with normal colon cells, marker genes of different types show very obvious specificity, especially upregulated genes in tumors. Functional enrichment analysis for marker genes indicates a possible relation between colon cancer and nervous system disease, moreover, the weak immune system is verified in colon cancer. The heightened expression of markers and the reduction of methylation in colon cancer promote tumor development in an extensive mechanism so that there is no biological process that can be enriched in different types.</p

An optimized agonist peptide of protease-activated receptor 4 and its use in a validated platelet-aggregation assay

Protease-activated receptor 4 (PAR4) is a promising drug target to improve the efficacy/safety window of antiplatelet agents. The native peptide GYPGQV, and the more-potent peptide AYPGKF, are PAR4-specific activators. However, these PAR4 agonist peptides (APs) elicit an agonist response, for example, platelet aggregation, at concentrations of 50 to 1000 µM in platelet-function assays, thereby limiting their utility to monitor the pharmacodynamic effects of PAR4 antagonists over a wide concentration range. Improved pharmacodynamic assays are needed for clinical development of PAR4 antagonists. We attempted to identify potent PAR4 APs to aid development of robust assays for optimization of PAR4 antagonists. Using an AYPG-based biased phage-display peptide library approach followed by chemical peptide optimization, A-Phe(4-F)-PGWLVKNG was identified. This peptide demonstrated an EC50 value of 3.4 µM in a platelet-aggregation assay, which is 16-fold more potent than AYPGKF. Using this new PAR4 AP, a platelet-rich plasma-aggregation assay using light-transmission aggregometry was developed and validated in a series of precision and reproducibility tests. PAR4 antagonist responses to PAR4 AP A-Phe(4-F)-PGWLVKNG (12.5 µM to 100 µM) were subsequently evaluated in this assay in vitro and ex vivo in a human study using BMS-986120, a PAR4 antagonist that entered clinical studies.</p