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lin28b  (Proteintech)


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    Proteintech lin28b
    Lin28b, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 20 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lin28b/product/Proteintech
    Average 93 stars, based on 20 article reviews
    lin28b - by Bioz Stars, 2026-05
    93/100 stars

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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
    Gene Exp Lin28b Mm01190673 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of <t>Lin28b</t> mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.
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    (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated. </p/>(D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of Lin28b mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.

    Journal: Cell reports

    Article Title: Ribosomal protein control of hematopoietic stem cell transformation through regulation of metabolism

    doi: 10.1016/j.celrep.2025.116688

    Figure Lengend Snippet: (A) Leukemia explants from MLL-AF9-knockin Rpl22 +/+ (M82) and Rpl22 −/− (M109) mice were analyzed by RNA-seq. A heatmap of 2,671 differentially expressed genes is displayed. (B) Top 20 upregulated essential genes in Rpl22 −/− leukemias identified using the CRISPR DEPMAP CERES dataset across human leukemia cell lines and displayed as a bubble plot of the impact of their genetic disruption on leukemia survival. (C) Differentially expressed genes were subjected to pathway analysis (Protein Analysis Through Evolutionalary Relationships; PANTHER) with the top upregulated and downregulated pathways displayed. The number of differentially expressed genes per pathway is indicated.

    (D) Bubble plot of the top five Reactome pathways depicting the most upregulated metabolic pathways in Rpl22 −/− MLL-AF9 leukemias. (E) qPCR analysis of Lin28b mRNA expression in Rpl22 +/+ and Rpl22 −/− MLL-AF9 leukemias. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized Lin28b expression is depicted graphically as the mean +/− SD. (F) Heatmap of 103 Lin28b gene targets induced in Rpl22 −/− MLL-AF9 leukemias, subdivided based on whether they are direct Lin28b targets or are indirectly regulated through Lin28b modulation of Let7 micro-RNAs (mIRs). (G) Lipid content of Rpl22 +/+ and Rpl22 −/− leukemias as measured by Nile red staining. Statistical significance was calculated using a two-tailed t test with Welch’s correction. Normalized lipid content is depicted graphically as mean +/− SD. (H) Triacylglycerol (TG) levels were measured on detergent extracts of Rpl22 +/+ and Rpl22 −/− leukemias using a colorimetric assay quantifying oxidized glycerol liberated by lipase digestion. Mean ± SD of triplicate measures of nMol TG per ng of protein were expressed graphically. Statistical significance was determined using one-way ANOVA. (I) The effect of inhibiting TG synthesis using DGAT1 inhibitor (DGAT1-IN-1) at 25 μM on the growth of Rpl22 +/+ and Rpl22 −/− leukemias was assessed by 3-(4,5 dimethylthiazol-2-yl)-2,5-diphenyltetrazoliumbromide (MTT) assay. Triplicate measures were expressed graphically as mean ± SD for each different drug concentration. Statistical significance was determined by two-way ANOVA.

    Article Snippet: Lin28b Taqman Primer/Probe set , ThermoFisher , Mm01190673_m1.

    Techniques: Knock-In, RNA Sequencing, CRISPR, Disruption, Expressing, Two Tailed Test, Staining, Colorimetric Assay, MTT Assay, Concentration Assay