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Human Protein Atlas mmp14 protein abundance
Single-cell transcriptome analysis of the relationship between <t>MMP14</t> 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.
Mmp14 Protein Abundance, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mmp14 protein abundance/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
mmp14 protein abundance - by Bioz Stars, 2026-02
90/100 stars

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1) Product Images from "Overexpression of MMP14 is associated with poor prognosis and immune cell infiltration in colon cancer"

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

Journal: Frontiers in Oncology

doi: 10.3389/fonc.2025.1564375

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.
Figure Legend 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.

Techniques Used: Expressing

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.
Figure Legend 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.

Techniques Used:

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.
Figure Legend 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.

Techniques Used: Expressing, Selection, Construct, Biomarker Discovery

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.
Figure Legend 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.

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

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.
Figure Legend 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.

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



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Human Protein Atlas mmp14 protein abundance
Single-cell transcriptome analysis of the relationship between <t>MMP14</t> 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.
Mmp14 Protein Abundance, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mmp14 protein abundance/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
mmp14 protein abundance - by Bioz Stars, 2026-02
90/100 stars
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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.

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

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.

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:

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.

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

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.

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

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.

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