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kras gene fragment  (New England Biolabs)


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    Structured Review

    New England Biolabs kras gene fragment
    A ) CRISPR screening strategy to identify regulators of <t>KRAS</t> protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.
    Kras Gene Fragment, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 95/100, based on 301 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation"

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    Journal: bioRxiv

    doi: 10.64898/2026.01.07.698128

    A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.
    Figure Legend Snippet: A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.

    Techniques Used: CRISPR, Expressing, Mass Spectrometry, Control, Western Blot, Transduction, shRNA, Plasmid Preparation, Comparison, Activity Assay, Disruption



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    New England Biolabs kras gene fragment
    A ) CRISPR screening strategy to identify regulators of <t>KRAS</t> protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.
    Kras Gene Fragment, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Twist Bioscience synthetic kras gene fragments
    A ) CRISPR screening strategy to identify regulators of <t>KRAS</t> protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.
    Synthetic Kras Gene Fragments, supplied by Twist Bioscience, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.

    Article Snippet: Briefly, 150 ng of KRAS gene fragment was combined with 1 μL of SnaBI-linearized BioID-2 vector and 4 μL of 2× NEBuilder HiFi DNA Assembly Master Mix (New England Biolabs) and incubated for 1 h at 50 °C.

    Techniques: CRISPR, Expressing, Mass Spectrometry, Control, Western Blot, Transduction, shRNA, Plasmid Preparation, Comparison, Activity Assay, Disruption

    A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) CRISPR screening strategy to identify regulators of KRAS protein stability. B ) Volcano plot of average KRAS stability scores (n=3). Significant hits for genes that either decrease (pink) or increase (purple) KRAS expression are indicated. Callouts represent genes identified as RAS interaction partners by mass spectrometry . C ) Venn diagram of overlapping genes from KRAS stability screen (≤-0.8 KRAS stability score and P≤0.05), RAS BioID2 proteomics (≥1.0 log2 enrichment vs. control, from ref: ), and genes essential in RAS-dependent MM cell lines (≤-1.0 CSS, from ref: ). D ) Western blot analysis of RAS, PPP1R2, and GAPDH 3 days after transduction with control shRNA (shCTRL) or PPP1R2-targeting shRNAs in XG7, RPMI 8226, and MM.1S MM lines, n=3. E ) PPP1R2-BioID2 enrichment over empty vector in RPMI 8226 cells. F ) Western blot analysis of RAS, PPP1R2, PP1C, and GAPDH 3 days after transduction with shCTRL, shPPP1R2.1, and/or ectopic expression of DN PP1C, n=3. G ) Comparison of protein expression levels between KRAS (x-axis) and average PP1C (PPP1CA, PPP1CB, PPP1CC, and PPP1CC;PPP1CB) in 115 MM patient tumors. Display line is simple linear regression; R 2 =0.1593, P<0.0001. I ) Model of PPP1R2 and PP1C regulation of KRAS protein expression. Under a normal state, PPP1R2 inhibits PP1C activity. Following PPP1R2 disruption, PP1C activity reduces KRAS levels. In contrast, PP1C disruption increases KRAS expression.

    Article Snippet: Synthetic KRAS gene fragments (Twist Bioscience) were cloned into the mNG–8xlinker–pBMN–LYT2 vector via Gibson assembly (New England Biolabs) (Table S4).

    Techniques: CRISPR, Expressing, Mass Spectrometry, Control, Western Blot, Transduction, shRNA, Plasmid Preparation, Comparison, Activity Assay, Disruption

    A ) Schematic of KRAS oncogenic hotspot mutations and putative serine/threonine phosphorylation sites. B ) Representative FACS data for mNG-KRAS G12D constructs harboring indicated S/T to A mutations XG7, RPMI 8226, and MM.1S MM cells, n=3. C ) Average normalized mNG-KRAS G12D phospho-mutant FACS data. Error bars depict standard deviation, n=3. D ) Western blot analysis for mNG-KRAS, PP1C, and GAPDH in XG7 cells expressing indicated mNG-KRAS mutants and either empty vector (-) or DN PP1C (+), n=3. E ) Western blot analysis of in vitro phosphatase assays performed on mNG-KRAS G12D immunoprecipitated from XG7 cells, n=4. F ) Model depicting PP1C directly dephosphorylating KRAS T148. G ) Enrichment of KRAS G12D+T148A (x-axis) vs. KRAS G12D+T148D (y-axis) BioID2 constructs. H ) Representative images from proximity ligation assay (PLA) (red) of RAS and indicated downstream effectors in XG7 cells. DAPI (blue), wheat germ agglutinin (WGA; green). Scale bar is 10 μm. I ) PLA score of indicated PLA pairs normalized to empty vector condition, **** P<0.0001, n=3.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) Schematic of KRAS oncogenic hotspot mutations and putative serine/threonine phosphorylation sites. B ) Representative FACS data for mNG-KRAS G12D constructs harboring indicated S/T to A mutations XG7, RPMI 8226, and MM.1S MM cells, n=3. C ) Average normalized mNG-KRAS G12D phospho-mutant FACS data. Error bars depict standard deviation, n=3. D ) Western blot analysis for mNG-KRAS, PP1C, and GAPDH in XG7 cells expressing indicated mNG-KRAS mutants and either empty vector (-) or DN PP1C (+), n=3. E ) Western blot analysis of in vitro phosphatase assays performed on mNG-KRAS G12D immunoprecipitated from XG7 cells, n=4. F ) Model depicting PP1C directly dephosphorylating KRAS T148. G ) Enrichment of KRAS G12D+T148A (x-axis) vs. KRAS G12D+T148D (y-axis) BioID2 constructs. H ) Representative images from proximity ligation assay (PLA) (red) of RAS and indicated downstream effectors in XG7 cells. DAPI (blue), wheat germ agglutinin (WGA; green). Scale bar is 10 μm. I ) PLA score of indicated PLA pairs normalized to empty vector condition, **** P<0.0001, n=3.

    Article Snippet: Synthetic KRAS gene fragments (Twist Bioscience) were cloned into the mNG–8xlinker–pBMN–LYT2 vector via Gibson assembly (New England Biolabs) (Table S4).

    Techniques: Phospho-proteomics, Construct, Mutagenesis, Standard Deviation, Western Blot, Expressing, Plasmid Preparation, In Vitro, Immunoprecipitation, Proximity Ligation Assay

    A ) IP-western blot analysis of ubiquitin binding to indicated ectopically expressed KRAS constructs. B ) Scatter plot of ubiquitin-related genes from the KRAS stability screens in . C ) Venn diagram of ubiquitin-related genes with increased KRAS expression (P≤0.05), KRAS interaction partners from BioID2 studies (≥1.0 log2 fold enrichment, ref: ), and tumor suppressor genes identified in RAS-dependent MM lines (CSS≥0.5, ). D ) LZTR1 CSS for KRAS-dependent (pink) vs. RAS-independent (gray) MM lines. E ) Western blot analysis of RAS, LZTR1, and GAPDH following expression of shCTRL or 2 shRNAs targeting LZTR1 in XG7, RPMI 8226, and MM.1S MM lines. F ) The essential interactome of LZTR1. Average CSS for RPMI 8226 and XG7 (x-axis) plotted against average enrichment for proteins from LZTR1-BioID2 experiments in the same lines (y-axis). Pink shading denotes proteins with ≥1.0 log2 fold enrichment and CSS ≤1; purple are callouts discussed in text. G ) Co-IP of indicated KRAS G12D phospho-mutants with LZTR1 in XG7, RPMI 8226, and MM.1S MM cells. H ) Representative images from PLA (red) of RAS and LZTR1 in XG7 cells expressing indicated KRAS mutants. DAPI (blue), wheat germ agglutinin (WGA; green). Scale bar is 10 μm. I ) PLA score of LZTR1-RAS normalized to empty vector condition, **** P<0.0001, * P<0.01, n=3. J ) Western blot analysis of RAS, pT148-RAS, PPP1R2, LZTR1, and GAPDH following transduction with control, PPP1R2, and/or LZTR1 shRNAs. K ) Bar graph of relative changes in mNG-KRAS expression measured by FACS for indicated mutants in shLZTR1 vs. shCTRL treated cells. L ) Immunoblot of ubiquitin binding following mNG-KRAS pulldown in cells transduced harboring G12D, T148A, T148D, K147R or K147R+T148A mutations with ubiquitin in XG7 cells, n=2.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) IP-western blot analysis of ubiquitin binding to indicated ectopically expressed KRAS constructs. B ) Scatter plot of ubiquitin-related genes from the KRAS stability screens in . C ) Venn diagram of ubiquitin-related genes with increased KRAS expression (P≤0.05), KRAS interaction partners from BioID2 studies (≥1.0 log2 fold enrichment, ref: ), and tumor suppressor genes identified in RAS-dependent MM lines (CSS≥0.5, ). D ) LZTR1 CSS for KRAS-dependent (pink) vs. RAS-independent (gray) MM lines. E ) Western blot analysis of RAS, LZTR1, and GAPDH following expression of shCTRL or 2 shRNAs targeting LZTR1 in XG7, RPMI 8226, and MM.1S MM lines. F ) The essential interactome of LZTR1. Average CSS for RPMI 8226 and XG7 (x-axis) plotted against average enrichment for proteins from LZTR1-BioID2 experiments in the same lines (y-axis). Pink shading denotes proteins with ≥1.0 log2 fold enrichment and CSS ≤1; purple are callouts discussed in text. G ) Co-IP of indicated KRAS G12D phospho-mutants with LZTR1 in XG7, RPMI 8226, and MM.1S MM cells. H ) Representative images from PLA (red) of RAS and LZTR1 in XG7 cells expressing indicated KRAS mutants. DAPI (blue), wheat germ agglutinin (WGA; green). Scale bar is 10 μm. I ) PLA score of LZTR1-RAS normalized to empty vector condition, **** P<0.0001, * P<0.01, n=3. J ) Western blot analysis of RAS, pT148-RAS, PPP1R2, LZTR1, and GAPDH following transduction with control, PPP1R2, and/or LZTR1 shRNAs. K ) Bar graph of relative changes in mNG-KRAS expression measured by FACS for indicated mutants in shLZTR1 vs. shCTRL treated cells. L ) Immunoblot of ubiquitin binding following mNG-KRAS pulldown in cells transduced harboring G12D, T148A, T148D, K147R or K147R+T148A mutations with ubiquitin in XG7 cells, n=2.

    Article Snippet: Synthetic KRAS gene fragments (Twist Bioscience) were cloned into the mNG–8xlinker–pBMN–LYT2 vector via Gibson assembly (New England Biolabs) (Table S4).

    Techniques: Western Blot, Ubiquitin Proteomics, Binding Assay, Construct, Expressing, Co-Immunoprecipitation Assay, Plasmid Preparation, Transduction, Control

    A ) Bar graph of KRAS A146 mutations as a percentage of all KRAS mutations across various tumor types. Hematologic malignancies are highlighted in pink. Adapted from ref: 1 . B,C ) Western blot analysis of RAS, PPP1R2, and GAPDH following transduction with control or PPP1R2 shRNAs ( B ) or indicated ectopically expressed RAS mutants ( C ), n=3. D ) Co-IP of indicated KRAS mutants with PPP1R2 or PP1C in XG7 and AMO1 MM cells, n=3. E ) Western blot analysis of pT148 RAS phosphorylation of endogenous RAS in XG7, RPMI 8226, AMO1, and H1112 MM lines, n=3. F ) Western blot analysis of ubiquitin binding following mNG-KRAS pulldown in H1112 cells harboring G12D, A146T, or A146V, n=3. G ) Quantification of immunoblots of RAS expression normalized to GAPDH from indicated MM lines following a time course of treatment with 10 nM cycloheximide (CHX) for the indicated timepoints (n=2; error bars depict standard deviation; representative blots in Fig. S4G). H ) Western blot analysis of RAS, LZTR1, and GAPDH following transduction with control or LZTR1 shRNAs in XG7, AMO1, and H1112 cells, n=3. I ) Scatter plot showing the percentage of KRAS A146 mutations among all KRAS mutations from (x-axis) versus the LZTR1 CHRONOS score from DepMap. J ) Quantification of immunoblots of RAS expression normalized to GAPDH from indicated cell lines (COAD, blue; PAAD, black; GCB DLBCL, orange; AML, red) following a time course of treatment with 10 nM cycloheximide (CHX) for the indicated timepoints (n=2; error bars depict standard deviation; representative blots in Fig. S4G). K ) Dot plot showing the RAS half-life in indicated cell lines (MM, pink; MM KRAS A146, pink hollow circle; COAD, blue; PAAD, black; GCB DLBCL, orange; AML, red). L,M ) Immunoblot analysis of RAS expression following transduction with control shRNA or LZTR1 shRNAs in adenocarcinoma lines ( L ) and GCB DLBCL lines ( M ), n=3.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) Bar graph of KRAS A146 mutations as a percentage of all KRAS mutations across various tumor types. Hematologic malignancies are highlighted in pink. Adapted from ref: 1 . B,C ) Western blot analysis of RAS, PPP1R2, and GAPDH following transduction with control or PPP1R2 shRNAs ( B ) or indicated ectopically expressed RAS mutants ( C ), n=3. D ) Co-IP of indicated KRAS mutants with PPP1R2 or PP1C in XG7 and AMO1 MM cells, n=3. E ) Western blot analysis of pT148 RAS phosphorylation of endogenous RAS in XG7, RPMI 8226, AMO1, and H1112 MM lines, n=3. F ) Western blot analysis of ubiquitin binding following mNG-KRAS pulldown in H1112 cells harboring G12D, A146T, or A146V, n=3. G ) Quantification of immunoblots of RAS expression normalized to GAPDH from indicated MM lines following a time course of treatment with 10 nM cycloheximide (CHX) for the indicated timepoints (n=2; error bars depict standard deviation; representative blots in Fig. S4G). H ) Western blot analysis of RAS, LZTR1, and GAPDH following transduction with control or LZTR1 shRNAs in XG7, AMO1, and H1112 cells, n=3. I ) Scatter plot showing the percentage of KRAS A146 mutations among all KRAS mutations from (x-axis) versus the LZTR1 CHRONOS score from DepMap. J ) Quantification of immunoblots of RAS expression normalized to GAPDH from indicated cell lines (COAD, blue; PAAD, black; GCB DLBCL, orange; AML, red) following a time course of treatment with 10 nM cycloheximide (CHX) for the indicated timepoints (n=2; error bars depict standard deviation; representative blots in Fig. S4G). K ) Dot plot showing the RAS half-life in indicated cell lines (MM, pink; MM KRAS A146, pink hollow circle; COAD, blue; PAAD, black; GCB DLBCL, orange; AML, red). L,M ) Immunoblot analysis of RAS expression following transduction with control shRNA or LZTR1 shRNAs in adenocarcinoma lines ( L ) and GCB DLBCL lines ( M ), n=3.

    Article Snippet: Synthetic KRAS gene fragments (Twist Bioscience) were cloned into the mNG–8xlinker–pBMN–LYT2 vector via Gibson assembly (New England Biolabs) (Table S4).

    Techniques: Western Blot, Transduction, Control, Co-Immunoprecipitation Assay, Phospho-proteomics, Ubiquitin Proteomics, Binding Assay, Expressing, Standard Deviation, shRNA

    A ) Schematic for a putative kinase phosphorylating RAS T148. B ) Scatter plot of kinase-related genes from the KRAS stability screens in . C ) Venn diagram of kinase genes with decreased KRAS expression (≥0.5 KRAS stability score), RAS interaction partners from BioID2 studies (≥0.8 log2 fold enrichment, ), and essential genes identified in RAS-dependent MM lines (CSS<-1.0, 19 ). D ) Western blot analysis of RAS expression following treatment with 100 nM of the indicated drugs for 24 and 48 hours in XG7, RPMI 8226, and SKMM1 MM cells, n=5. E ) Evaluation of pT148 RAS phosphorylation in cells treated with MG-132 for 8 hours before lysis and the indicated drugs for 48 hours, n=3. F ) Co-IP of PAK1 and PAK2 with ectopically expressed mNG-KRAS G12D in the indicated MM lines, n=2. G ). Indicated cells expressing listed shRNAs or DN PP1C were treated with a dose titration of RMC-6236. Data shown is the ratio of experiment (listed shRNA or DN PP1C) versus shCTRL. Values shown are the average of 2 experiments. H ) in vitro kinase assay of recombinant PAK1 on recombinant KRAS as a substrate. Western blot analysis of phospho-T148 RAS was used as a readout. Inhibition with FRAX597 was used to demonstrate specificity, n=4. I ) Cell viability in XG7 cells ectopically expressing KRAS G12D or KRAS G12D+T148D and treated with indicated drugs: either 100 nM FRAX527 and/or 8 nM RMC-6236. J ) Tumor volume for MM.1S xenografts treated with vehicle (gray), 3 mg/kg FRAX597 (purple), 5 mg/kg RMC-6236 (pink), or the combination of both drugs (red). K ) Inhibition with FRAX597 primes RAS for degradation.

    Journal: bioRxiv

    Article Title: Phosphorylation Protects Oncogenic RAS from LZTR1-Mediated Degradation

    doi: 10.64898/2026.01.07.698128

    Figure Lengend Snippet: A ) Schematic for a putative kinase phosphorylating RAS T148. B ) Scatter plot of kinase-related genes from the KRAS stability screens in . C ) Venn diagram of kinase genes with decreased KRAS expression (≥0.5 KRAS stability score), RAS interaction partners from BioID2 studies (≥0.8 log2 fold enrichment, ), and essential genes identified in RAS-dependent MM lines (CSS<-1.0, 19 ). D ) Western blot analysis of RAS expression following treatment with 100 nM of the indicated drugs for 24 and 48 hours in XG7, RPMI 8226, and SKMM1 MM cells, n=5. E ) Evaluation of pT148 RAS phosphorylation in cells treated with MG-132 for 8 hours before lysis and the indicated drugs for 48 hours, n=3. F ) Co-IP of PAK1 and PAK2 with ectopically expressed mNG-KRAS G12D in the indicated MM lines, n=2. G ). Indicated cells expressing listed shRNAs or DN PP1C were treated with a dose titration of RMC-6236. Data shown is the ratio of experiment (listed shRNA or DN PP1C) versus shCTRL. Values shown are the average of 2 experiments. H ) in vitro kinase assay of recombinant PAK1 on recombinant KRAS as a substrate. Western blot analysis of phospho-T148 RAS was used as a readout. Inhibition with FRAX597 was used to demonstrate specificity, n=4. I ) Cell viability in XG7 cells ectopically expressing KRAS G12D or KRAS G12D+T148D and treated with indicated drugs: either 100 nM FRAX527 and/or 8 nM RMC-6236. J ) Tumor volume for MM.1S xenografts treated with vehicle (gray), 3 mg/kg FRAX597 (purple), 5 mg/kg RMC-6236 (pink), or the combination of both drugs (red). K ) Inhibition with FRAX597 primes RAS for degradation.

    Article Snippet: Synthetic KRAS gene fragments (Twist Bioscience) were cloned into the mNG–8xlinker–pBMN–LYT2 vector via Gibson assembly (New England Biolabs) (Table S4).

    Techniques: Expressing, Western Blot, Phospho-proteomics, Lysis, Co-Immunoprecipitation Assay, Titration, shRNA, In Vitro, Kinase Assay, Recombinant, Inhibition