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met  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc met
    Multi-omic approach to identify miR-411ed <t>MET-independent</t> DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, <t>P-MET,</t> <t>STAT3</t> and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
    Met, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+met+antibody/bio_rxiv__64898__2026__03__31__715663-32-7-8
    Average 86 stars, based on 1 article reviews
    met - by Bioz Stars, 2026-10
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    Images

    1) Product Images from "A multi-omics approach to identify the impact of miR-411ed on NSCLC TKI resistance"

    Article Title: A multi-omics approach to identify the impact of miR-411ed on NSCLC TKI resistance

    Journal: bioRxiv

    doi: 10.64898/2026.03.31.715663

    Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
    Figure Legend Snippet: Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.

    Techniques Used: Biomarker Discovery, Comparison, RNA sequencing, Western Blot, Control

    Related Articles

    Blocking Assay:

    Article Title: Overexpressed MET drives aggressive thyroid cancer phenotypes and serves as a precision therapeutic target
    Article Snippet: .. Following serum blocking (20 min), slides were incubated with a primary anti-MET antibody (1:100 dilution, CST) overnight at 4 °C. ..

    Article Title: Overexpressed MET drives aggressive thyroid cancer phenotypes and serves as a precision therapeutic target.
    Article Snippet: .. Following serum blocking (20 min), slides were incubated with a primary anti-MET antibody (1:100 dilution, CST) overnight at 4 °C. ..

    Incubation:

    Article Title: Overexpressed MET drives aggressive thyroid cancer phenotypes and serves as a precision therapeutic target
    Article Snippet: .. Following serum blocking (20 min), slides were incubated with a primary anti-MET antibody (1:100 dilution, CST) overnight at 4 °C. ..

    Article Title: Overexpressed MET drives aggressive thyroid cancer phenotypes and serves as a precision therapeutic target.
    Article Snippet: .. Following serum blocking (20 min), slides were incubated with a primary anti-MET antibody (1:100 dilution, CST) overnight at 4 °C. ..

    Immunoprecipitation:

    Article Title: Moderate increase of MET in hepatocytes protects against cholestatic liver injury by promoting an effective antioxidant response.
    Article Snippet: cholestatic liver injury by promoting an effective antioxidant response Carlos González-Corralejo, Juan Garcı́a-Sáez, Marı́a Figueroa-Fuentes, Annalisa Addante, Cesáreo Roncero, Nerea Lazcanoiturburu, Beatriz Pacheco, Julián Sanz, Cristina Gato, Eva Fernández-Calderón, Marı́a de la O López, Águeda González-Rodrı́guez, Almudena Porras, Flavio Maina, Isabel Fabregat, Blanca Herrera and Aránzazu Sánchez

    Western Blot:

    Article Title: Ligand Binding to the Membrane-Distal Domain of the Met Receptor Induces Dimerization at the Membrane-Proximal Domain.
    Article Snippet: Activation of cytokine and growth factor receptors by ligands triggers crucial cellular responses in various physiological processes.. However, our understanding of their structural basis remains incomplete due to the limited information on the active ligand−receptor complex structure.. Their structural analysis poses two significant challenges: preserving the complex structure during isolation from living cells and achieving high-resolution characterization.

    Silver Staining:

    Article Title: Ligand Binding to the Membrane-Distal Domain of the Met Receptor Induces Dimerization at the Membrane-Proximal Domain.
    Article Snippet: Activation of cytokine and growth factor receptors by ligands triggers crucial cellular responses in various physiological processes.. However, our understanding of their structural basis remains incomplete due to the limited information on the active ligand−receptor complex structure.. Their structural analysis poses two significant challenges: preserving the complex structure during isolation from living cells and achieving high-resolution characterization.



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    Multi-omic approach to identify miR-411ed <t>MET-independent</t> DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, <t>P-MET,</t> <t>STAT3</t> and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
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    Multi-omic approach to identify miR-411ed <t>MET-independent</t> DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, <t>P-MET,</t> <t>STAT3</t> and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
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    Image Search Results


    Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.

    Journal: bioRxiv

    Article Title: A multi-omics approach to identify the impact of miR-411ed on NSCLC TKI resistance

    doi: 10.64898/2026.03.31.715663

    Figure Lengend Snippet: Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.

    Article Snippet: The antibodies used are P-MET (Invitrogen #700139), MET (Cell Signaling #4560), STAT3 (Cell Signaling #7907), and GAPDH (Cell Signaling #3683).

    Techniques: Biomarker Discovery, Comparison, RNA sequencing, Western Blot, Control