pde2a (Proteintech)
Structured Review

Pde2a, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 47 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pde2a/product/Proteintech
Average 93 stars, based on 47 article reviews
Images
1) Product Images from "Metabolic profiling of the TME uncovers the contrasting impacts of CKMT2 and PDE2A in CRC progression and therapeutic response"
Article Title: Metabolic profiling of the TME uncovers the contrasting impacts of CKMT2 and PDE2A in CRC progression and therapeutic response
Journal: Frontiers in Pharmacology
doi: 10.3389/fphar.2026.1732137
Figure Legend Snippet: Prognostic TMET genes defining TMET subtype phenotypes. (A) Univariate Cox regression analysis of TMET crosstalk genes in CRC. (B) Heatmap of the top 28 prognostically relevant TMET genes with significant differential expression (|logFC| > 0.15). (C,D) KEGG pathway enrichment of C1- and C2-upregulated TMET genes. (E,F) Kaplan–Meier survival curves stratified by CKMT2 and PDE2A expression. (G) PCA plot showing subtype separation driven by CKMT2 and PDE2A expression. (H) ROC curves evaluating the discriminatory performance of CKMT2 and PDE2A.
Techniques Used: Quantitative Proteomics, Expressing
Figure Legend Snippet: Single-cell resolution of TMET gene expression. (A,B) t-SNE plots showing major cell populations in CRC single-cell datasets EMTAB8107 and GSE166555 . (C,D) Distribution of malignant, immune, and stromal lineages across datasets. (E–H) Expression patterns of C1- and C2-associated TMET genes in EMTAB8107. (I–L) Corresponding expression patterns in GSE166555 . (M–P) Dot plots showing TMET gene expression across cell types. (Q–T) t-SNE plots illustrating PDE2A and CKMT2 expression in both datasets. C1: high-risk; C2: low-risk.
Techniques Used: Single Cell, Gene Expression, Expressing
Figure Legend Snippet: Risk stratification based on PDE2A and CKMT2. (A,B) Risk stratification of CRC patients using LASSO regression based on PDE2A and CKMT2 expression. (C) Bar plot illustrating the distribution of CRC patients according to risk scores derived from PDE2A and CKMT2. (D) Kaplan-Meier survival curve comparing overall survival (OS) between risk subgroups. (E) Sankey diagram mapping the distribution of CRC patients across molecular clusters, risk subgroups, PDE2A and CKMT2 expression levels, and vital status. (F) PCA plot visualizing the dimensional separation of risk subgroups. (G) PCA plot depicting the segregation of gene-based subgroups. (H) Heatmap displaying PDE2A and CKMT2 expression across risk subgroups and their associations with clinical and molecular features. (I–L) Bar plots showing the distribution of gene-based subtypes across cancer stages and molecular classifications, including MSI, CMS, and CIMP status.
Techniques Used: Expressing, Derivative Assay
Figure Legend Snippet: Validation of PDE2A and CKMT2 in colorectal cancer. (A,C) GEPIA-based comparison of CKMT2 and PDE2A mRNA expression in normal and CRC tissues. (B,D) qPCR validation in FHC, SW480, and HCT116 cell lines. (E–H) Western blot analysis and quantification of CKMT2 and PDE2A protein expression. (I,J) Representative IHC images and quantitative comparison in CRC and adjacent normal tissues (n = 63). (K) Heatmap of protein expression in relation to clinicopathological features. (L,M) Representative IHC images and Pearson correlation analysis showing inverse expression of CKMT2 and PDE2A.
Techniques Used: Biomarker Discovery, Comparison, Expressing, Western Blot
Figure Legend Snippet: External validation of the prognostic impact of PDE2A and CKMT2. (A,B) Kaplan-Meier survival curves illustrating differences in recurrence-free survival (RFS, n = 1,336) and overall survival (OS, n = 1,061) between CRC patients with high and low PDE2A expression. (C,D) Kaplan-Meier survival curves depicting differences in recurrence-free survival (RFS, n = 1,336) and overall survival (OS, n = 1,061) between CRC patients with high and low CKMT2 expression.
Techniques Used: Biomarker Discovery, Expressing
Figure Legend Snippet: Impact of PDE2A and CKMT2 on immunotherapy response. (A,B) Kaplan-Meier survival curves showing overall survival (OS, n = 1,061) differences between patients with high and low PDE2A and CKMT2 expression. (C,D) Box plot and ROC curves comparing PDE2A expression between immunotherapy responders (n = 355) and non-responders (n = 570). (E,F) Box plot and ROC curves comparing CKMT2 expression between immunotherapy responders (n = 355) and non-responders (n = 570).
Techniques Used: Expressing
