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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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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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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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anti human phospho met tyr1234 1235 mab  (Cell Signaling Technology Inc)
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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