Journal: Frontiers in Oncology

Article Title: Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer

doi: 10.3389/fonc.2025.1564375

Figure Lengend Snippet: Single-cell transcriptome analysis of the relationship between MMP14 and colorectal cancer. (A) CD45 negative non-immune cell annotated tSNE; (B) Expression of MMP14 in different cell subsets of tSNE; (C) The expression of MMP14 among different cell subsets; (D) Fibroblasts subgroup subdivision; (E) The expression of MMP14 in different subpopulations after Fibroblasts subgroups; (F) Fib6 ratio among different samples; (G) Fib6 and other Fib difference analysis volcano map; (H) GO enrichment analysis of differential genes; (I) KEGG enrichment analysis of differential genes.

Article Snippet: This was further corroborated by Human Protein Atlas (HPA) data, which confirmed notably higher MMP14 protein abundance in CRC compared to normal tissues.

Techniques: Expressing

Journal: Frontiers in Oncology

Article Title: Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer

doi: 10.3389/fonc.2025.1564375

Figure Lengend Snippet: Single-cell transcriptome analysis of the relationship between MMP14 and colorectal cancer. (A) CD45-positive immune cell annotated tSNE; (B) Histogram of the proportional accumulation of immune cells between different samples; (C) A 50-point bitmap of the significant difference of immune cells between the two groups. Statistical significance is denoted as **P < 0.01. ns means no significant difference, p greater than 0.05.

Article Snippet: This was further corroborated by Human Protein Atlas (HPA) data, which confirmed notably higher MMP14 protein abundance in CRC compared to normal tissues.

Techniques:

Journal: Frontiers in Oncology

Article Title: Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer

doi: 10.3389/fonc.2025.1564375

Figure Lengend Snippet: Development of prognostic gene markers based on MMP14-associated co-expression genes and MMP14. (A) Univariate Cox regression analysis to assess prognostic significance; (B, C) LASSO assays for feature selection; (D) Multivariate Cox regression analysis to construct prognostic model; (E, F) Evaluation of the impact of the prognostic model on OS and PFS; (G) ROC curves for model validation. (H-J) Heat map illustrating expression patterns of six genes, the distribution of risk score, and the survival status of CRC patients.

Article Snippet: This was further corroborated by Human Protein Atlas (HPA) data, which confirmed notably higher MMP14 protein abundance in CRC compared to normal tissues.

Techniques: Expressing, Selection, Construct, Biomarker Discovery

Journal: Frontiers in Oncology

Article Title: Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer

doi: 10.3389/fonc.2025.1564375

Figure Lengend Snippet: Experimental detection of MMP14 expression in clinical samples. (A) qRT-PCR for MMP14 expression detection; (B) Western blot for detection of MMP14 expression; (C) Immunofluorescence for the detection of MMP14 expression, with DAPI staining for cellular localization; (D) H&E staining of three pairs of cancerous and adjacent tissues. Statistical significance is denoted as *P < 0.05, **P < 0.01.

Article Snippet: This was further corroborated by Human Protein Atlas (HPA) data, which confirmed notably higher MMP14 protein abundance in CRC compared to normal tissues.

Techniques: Expressing, Quantitative RT-PCR, Western Blot, Immunofluorescence, Staining

Journal: Frontiers in Oncology

Article Title: Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer

doi: 10.3389/fonc.2025.1564375

Figure Lengend Snippet: Construction of MMP14-silenced CRC cell system. (A) qRT-PCR detection of IL-1 β mRNA expression; (B) Knockdown of MMP14 detected by qRT-PCR; (C) Flow cytometry was used to detect cell apoptosis following MMP14 silencing. Statistical significance is denoted as **P < 0.01, and ****P < 0.0001.

Article Snippet: This was further corroborated by Human Protein Atlas (HPA) data, which confirmed notably higher MMP14 protein abundance in CRC compared to normal tissues.

Techniques: Quantitative RT-PCR, Expressing, Knockdown, Flow Cytometry

Journal: Nature Communications

Article Title: Multi-omics characterization of the monkeypox virus infection

doi: 10.1038/s41467-024-51074-6

Figure Lengend Snippet: a – g Transcriptomes, proteomes, and phosphoproteomes of HFFs infected with MPXV (MOI 3) were profiled at 0, 6, 12, or 24 hours post-infection (h.p.i.). Bayesian linear modeling was used to determine the statistical significance of observed changes on distinct omics layers relative to time-matched mock controls. a Schematic representation of the multi-omics profiling of the MPXV-infected primary HFFs. b , d , f Numbers of significantly changed host transcripts b , proteins d , or phosphosites f at the indicated times after MPXV infection. In d , Euler diagram shows the number proteins significantly changed by MPXV (this study), VACV , and MVA infection. c , e , g Scatterplots depicting fold-changes of the abundance of transcripts c , proteins e , or phosphosites g between MPXV-infected HFFs and timepoint-matched mock controls. Statistically significant events are yellow (at either time point) or orange (at both time points), viral transcripts, proteins, or phosphosites are black. Histones c , collagens e , or Serine and arginine Rich Splicing Factors (SRSFs) g are crosses. Diamonds: log2 fold change was truncated to fit into the plot. h Expression levels, as measured by RT–qPCR, of MPXV G2 and host transcripts relative to RPLP0 in MPXV-infected (MOI 3) HFFs at indicated time points. Error bars: mean and standard deviation (Two-sided Welch’s t-test, unadjusted p -value, n = 4 independent experiments). i Abundances of MPXV protein C19 and human proteins as determined by proteomic analysis of MPXV-infected HFFs. j Expression of MPXV protein C19 and human proteins in MPXV-infected HFFs ( n = 3 independent experiments). k Abundance of CTNNB1 phospho-S552 and MAPK14 phospho-T180/Y182 and abundance of CTNNB1 and MAPK14 proteins as determined by proteomics analysis. l Representative western blots showing abundance changes of the phosphorylated and total CTNNB1 and P38 (MAPK11-14) in MPXV-infected HFFs ( n = 3 independent experiments). For i and k , the line indicated the modeled median, and the shaded region and the dotted line represented 50% and 95% credible intervals, respectively ( n = 5 independent experiments). Bayesian linear model-based unadjusted two-sided p -value: *: p -value ≤ 0.05; **: p -value ≤ 0.01; ***: p -value ≤ 0.001; ****: p -value ≤ 0.0001. Source data are provided as a Source Data file.

Article Snippet: For protein abundance detection via western blot, antibodies against MPXV C19 (Cop-F13, a gift from Michael Way, Francis Crick Institute, 1:8000), MMP14 (Abcam, ab51074, 1:2000), PTGS2 (Cell Signaling, 12282, 1:1000), LMNA (Abcam, ab26300, 1:500), THBS1 (Invitrogen, PA5-85678, 1:1000), DAB2 (Cell Signaling, 12906, 1:1000), CTNNB1 (Sigma-Aldrich, C7207, 1:1000), pCTNNB1-S552 (Cell Signaling, 9566, 1:1000), P38 MAPK (Cell Signaling, 8690, 1:1000), pP38 MAPK - T180/Y182 (Cell Signaling, 4511, 1:1000), HA (coupled to horseradish peroxidase (HRP), Sigma-Aldrich, H6533, 1:2500), StrepTagTM II (coupled to HRP, Sigma-Aldrich, 71591, 1:4000) and ACTB (β-actin) (coupled to HRP, Santa Cruz, sc-47778, 1:2500) were used.

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