antibodies ptgds  (Proteintech)

Journal: Scientific Reports

Article Title: PTGDS is a potential marker for lung adenocarcinoma identified in a pancancer analysis

doi: 10.1038/s41598-026-38688-0

Figure Lengend Snippet: Single-cell data analysis of PTGDS expression and biological functions. (A) Correlation of PTGDS expression with functional status across 12 cancers according to the pancancer analysis. (B) Positive correlation between PTGDS expression and angiogenesis and differentiation in lung adenocarcinoma (LUAD). (C) PTGDS expression in the single-cell atlas of the normal human lung from the HPA database. (D) Relationships between PTGDS expression and the expression of various cell marker genes. (E) Single-cell atlas of the normal human lung. (F) PTGDS-specific expression in the single-cell atlas of the normal human lung as reported by Kyle et al.

Article Snippet: Additionally, data from the Human Protein Atlas (HPA) revealed PTGDS-specific expression in normal immune cells, notably in plasmacytoid dendritic cells and natural killer cells (Fig. E–G).

Techniques: Single Cell, Expressing, Functional Assay, Marker

Journal: Journal of Inflammation Research

Article Title: Integrative Machine Learning Analysis of Programmed Cell Death Pathways Identifies Novel Diagnostic Biomarkers for Atrial Fibrillation

doi: 10.2147/JIR.S568171

Figure Lengend Snippet: Prediction of drugs and molecular docking. ( A ) The top 10 candidate drugs were predicted for hub genes using CMAP database. ( B – E ) Todralazine docking to NPC2 (PDB 5KWY), PTGDS (3O22), RCAN1 (6UUQ), and SGPL1 (8AYF) using CB-Dock2. Reported Vina scores indicate favorable binding (<−5).

Article Snippet: Membranes were blocked with 5% non-fat milk (TBST, 1 h, 20–25 °C), incubated with primary antibodies against NPC2 and PTGDS (Proteintech, Wuhan, China) and against RCAN1 and SGPL1 (Cell Signaling Technology, MA, USA) overnight (4 °C), washed, and probed with HRP-conjugated secondaries (1 h, 20–25 °C).

Techniques: Binding Assay

Journal: Journal of Inflammation Research

Article Title: Integrative Machine Learning Analysis of Programmed Cell Death Pathways Identifies Novel Diagnostic Biomarkers for Atrial Fibrillation

doi: 10.2147/JIR.S568171

Figure Lengend Snippet: Experimental validation in HL-1 cells and human PBMCs. qRT-PCR analysis of NPC2 ( A ), RCAN1 ( B ), SGPL1 ( C ) and PTGDS ( D ) expression in AF cell models; qRT-PCR analysis of NPC2 ( E ) and SGPL1 ( F ) in PBMCs from AF patients and healthy controls. ( G ) Western blot analysis of NPC2, RCAN1, SGPL1 and PTGDS expression in AF cell models. * P <0.05; ** P <0.01.

Article Snippet: Membranes were blocked with 5% non-fat milk (TBST, 1 h, 20–25 °C), incubated with primary antibodies against NPC2 and PTGDS (Proteintech, Wuhan, China) and against RCAN1 and SGPL1 (Cell Signaling Technology, MA, USA) overnight (4 °C), washed, and probed with HRP-conjugated secondaries (1 h, 20–25 °C).

Techniques: Biomarker Discovery, Quantitative RT-PCR, Expressing, Western Blot