eno1 Search Results


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  • 85
    Thermo Fisher gene exp eno1 rn00820594 g1
    TaqMan Gene Expression Assays Used for Real-Time PCR
    Gene Exp Eno1 Rn00820594 G1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/gene exp eno1 rn00820594 g1/product/Thermo Fisher
    Average 85 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    gene exp eno1 rn00820594 g1 - by Bioz Stars, 2024-05
    85/100 stars
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    93
    Bioss gapdh(3e12) monoclonal antibody
    TaqMan Gene Expression Assays Used for Real-Time PCR
    Gapdh(3e12) Monoclonal Antibody, supplied by Bioss, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/gapdh(3e12) monoclonal antibody/product/Bioss
    Average 93 stars, based on 1 article reviews
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    gapdh(3e12) monoclonal antibody - by Bioz Stars, 2024-05
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    95
    Cell Signaling Technology Inc enolase
    TaqMan Gene Expression Assays Used for Real-Time PCR
    Enolase, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/enolase/product/Cell Signaling Technology Inc
    Average 95 stars, based on 1 article reviews
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    enolase - by Bioz Stars, 2024-05
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    93
    Proteintech anti eno1
    (A) Venn diagram showing the number of shared and organ-specific RBPs identified. (B) Normalized signal sum of identified RBPs in ex vivo eRIC eluates (upper panel) and the corresponding input samples (middle panel) for each organ analyzed. Center lines indicate the median, box borders represent the interquartile range (IQR), and whiskers extend to ±1.5 time the IQR; outliers are shown as black dots (pairwise comparisons using t-test with FDR correction, ***p.adj < 2e-16; n.s.: not significant). Bottom panel: amount of poly(A) RNA isolated from each organ by eRIC. Note that the retrieved mass of protein (upper panel) differs extensively across the tissues analyzed (with kidney >> liver > brain) and does not necessarily correlate with the mass of RNA recovered (bottom panel) (see also Table S2). (C) Hierarchical clustering and heatmap of the RBPs identified in brain, kidney and liver, showing protein abundance in eRIC eluates (left columns) and inputs (right columns) across the three organs. (D) Representative images of the proximity ligation assay (PLA) for interactions of <t>ENO1</t> and poly(A) RNA, nuclear staining (DAPI) and ENO1 immunofluorescence in brain, kidney and liver. Scale bar, 20 µM. See quantification in Figure S2B.
    Anti Eno1, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/anti eno1/product/Proteintech
    Average 93 stars, based on 1 article reviews
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    anti eno1 - by Bioz Stars, 2024-05
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    91
    Cusabio anti eno1 antibody elisa detection reagent kit
    <t>ENO1</t> expression in liver cancer tissue and peripheral blood of patients with liver cancer. (A) ENO1 expression in liver cancer tissues (×100). (B) ENO1 was not expressed in benign liver lesions (×100). (C) Serum anti-ENO1 antibody levels in patients with liver cancer were higher than those in patients with benign liver lesions and healthy controls. (D) ENO1 expression in liver cancer tissues (×400). (E) ENO1 was not expressed in benign liver lesion (×400). (F) Receiver operating characteristic curve analysis for liver cancer diagnosis using anti-ENO1 antibody levels. The AUC was 0.741, the sensitivity was 64.3% and the specificity was 85.5%. The red dot represents the cut-off value. **P<0.01; ****P<0.0001 ENO1, <t>α-enolase;</t> AUC, area under the curve.
    Anti Eno1 Antibody Elisa Detection Reagent Kit, supplied by Cusabio, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/anti eno1 antibody elisa detection reagent kit/product/Cusabio
    Average 91 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    anti eno1 antibody elisa detection reagent kit - by Bioz Stars, 2024-05
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    Image Search Results


    TaqMan Gene Expression Assays Used for Real-Time PCR

    Journal:

    Article Title: Microarray and Real-Time PCR Analysis of Adrenal Gland Gene Expression in the 7-day-old Rat: Effects of Hypoxia from Birth

    doi: 10.1152/physiolgenomics.00245.2006

    Figure Lengend Snippet: TaqMan Gene Expression Assays Used for Real-Time PCR

    Article Snippet: Differences in gene expression, expressed as fold-change, were calculated using the 2 −ΔΔCt method using 18S as the internal control. table ft1 table-wrap mode="anchored" t5 caption a7 Gene Symbol Assay ID# Cytochrome P450, subfamily 1B, polypeptide 1 Cyp1b1 Rn00564055_m1 Guanosine monophosphate reductase Gmpr Rn00589361_m1 Xanthine dehydrogenase Xdh Rn00567654_m1 Cadherin 1 Cdh1 Rn00580109_m1 Phospholipase A2, group IVA (cytosolic, Ca-dependent) Pla2g4a Rn00591916_m1 Aldehyde oxidase Aox1 Rn00571242_m1 Regulator of G-protein signaling protein 2 Rgs2 Rn00584932_m1 Carnitine palmitoyltransferase 2 Cpt2 Rn00563995_m1 Steroid 5 alpha-reductase 1 Srd5a1 Rn00567064_m1 Enolase 1, alpha Eno1 Rn00820594_g1 N-ethylmaleimide sensitive factor Nsf Rn00572694_m1 Cytochrome P450, subfamily 11B, polypeptide 3 Cyp11b3 Rn00822066_g1 Steroidogenic acute regulatory protein StAR Rn00580695_m1 Cytochrome P450, subfamily 11A Cyp11a Rn00568733_m1 Cytochrome P450, subfamily 21A, polypeptide 1 Cyp21a1 Rn00588996_g1 3-hydroxy-3-methylglutaryl-Coenzyme A reductase Hmgcr Rn00565598_m1 Low density lipoprotein receptor Ldlr Rn00598438_m1 Vascular endothelial growth factor Vegf Rn00582935_m1 Hypoxia-inducible factor 1 alpha Hif1a Rn00577560_m1 Open in a separate window Each Gene Expression Assay consisted of a mix of sequence specific forward/reverse primers and a FAM-labeled probe.

    Techniques: Expressing

    Microarray analysis of adrenal gene expression in the 7-day-old rat: effects of hypoxia from birth.

    Journal:

    Article Title: Microarray and Real-Time PCR Analysis of Adrenal Gland Gene Expression in the 7-day-old Rat: Effects of Hypoxia from Birth

    doi: 10.1152/physiolgenomics.00245.2006

    Figure Lengend Snippet: Microarray analysis of adrenal gene expression in the 7-day-old rat: effects of hypoxia from birth.

    Article Snippet: Differences in gene expression, expressed as fold-change, were calculated using the 2 −ΔΔCt method using 18S as the internal control. table ft1 table-wrap mode="anchored" t5 caption a7 Gene Symbol Assay ID# Cytochrome P450, subfamily 1B, polypeptide 1 Cyp1b1 Rn00564055_m1 Guanosine monophosphate reductase Gmpr Rn00589361_m1 Xanthine dehydrogenase Xdh Rn00567654_m1 Cadherin 1 Cdh1 Rn00580109_m1 Phospholipase A2, group IVA (cytosolic, Ca-dependent) Pla2g4a Rn00591916_m1 Aldehyde oxidase Aox1 Rn00571242_m1 Regulator of G-protein signaling protein 2 Rgs2 Rn00584932_m1 Carnitine palmitoyltransferase 2 Cpt2 Rn00563995_m1 Steroid 5 alpha-reductase 1 Srd5a1 Rn00567064_m1 Enolase 1, alpha Eno1 Rn00820594_g1 N-ethylmaleimide sensitive factor Nsf Rn00572694_m1 Cytochrome P450, subfamily 11B, polypeptide 3 Cyp11b3 Rn00822066_g1 Steroidogenic acute regulatory protein StAR Rn00580695_m1 Cytochrome P450, subfamily 11A Cyp11a Rn00568733_m1 Cytochrome P450, subfamily 21A, polypeptide 1 Cyp21a1 Rn00588996_g1 3-hydroxy-3-methylglutaryl-Coenzyme A reductase Hmgcr Rn00565598_m1 Low density lipoprotein receptor Ldlr Rn00598438_m1 Vascular endothelial growth factor Vegf Rn00582935_m1 Hypoxia-inducible factor 1 alpha Hif1a Rn00577560_m1 Open in a separate window Each Gene Expression Assay consisted of a mix of sequence specific forward/reverse primers and a FAM-labeled probe.

    Techniques: Microarray, Expressing, Migration, Activity Assay

    Real-time PCR analysis of adrenal gene expression: verification of selected microarray results.

    Journal:

    Article Title: Microarray and Real-Time PCR Analysis of Adrenal Gland Gene Expression in the 7-day-old Rat: Effects of Hypoxia from Birth

    doi: 10.1152/physiolgenomics.00245.2006

    Figure Lengend Snippet: Real-time PCR analysis of adrenal gene expression: verification of selected microarray results.

    Article Snippet: Differences in gene expression, expressed as fold-change, were calculated using the 2 −ΔΔCt method using 18S as the internal control. table ft1 table-wrap mode="anchored" t5 caption a7 Gene Symbol Assay ID# Cytochrome P450, subfamily 1B, polypeptide 1 Cyp1b1 Rn00564055_m1 Guanosine monophosphate reductase Gmpr Rn00589361_m1 Xanthine dehydrogenase Xdh Rn00567654_m1 Cadherin 1 Cdh1 Rn00580109_m1 Phospholipase A2, group IVA (cytosolic, Ca-dependent) Pla2g4a Rn00591916_m1 Aldehyde oxidase Aox1 Rn00571242_m1 Regulator of G-protein signaling protein 2 Rgs2 Rn00584932_m1 Carnitine palmitoyltransferase 2 Cpt2 Rn00563995_m1 Steroid 5 alpha-reductase 1 Srd5a1 Rn00567064_m1 Enolase 1, alpha Eno1 Rn00820594_g1 N-ethylmaleimide sensitive factor Nsf Rn00572694_m1 Cytochrome P450, subfamily 11B, polypeptide 3 Cyp11b3 Rn00822066_g1 Steroidogenic acute regulatory protein StAR Rn00580695_m1 Cytochrome P450, subfamily 11A Cyp11a Rn00568733_m1 Cytochrome P450, subfamily 21A, polypeptide 1 Cyp21a1 Rn00588996_g1 3-hydroxy-3-methylglutaryl-Coenzyme A reductase Hmgcr Rn00565598_m1 Low density lipoprotein receptor Ldlr Rn00598438_m1 Vascular endothelial growth factor Vegf Rn00582935_m1 Hypoxia-inducible factor 1 alpha Hif1a Rn00577560_m1 Open in a separate window Each Gene Expression Assay consisted of a mix of sequence specific forward/reverse primers and a FAM-labeled probe.

    Techniques: Real-time Polymerase Chain Reaction, Expressing, Microarray

    Real-time PCR analysis of adrenal gene expression: analysis of genes not meeting microarray cutoff criteria.

    Journal:

    Article Title: Microarray and Real-Time PCR Analysis of Adrenal Gland Gene Expression in the 7-day-old Rat: Effects of Hypoxia from Birth

    doi: 10.1152/physiolgenomics.00245.2006

    Figure Lengend Snippet: Real-time PCR analysis of adrenal gene expression: analysis of genes not meeting microarray cutoff criteria.

    Article Snippet: Differences in gene expression, expressed as fold-change, were calculated using the 2 −ΔΔCt method using 18S as the internal control. table ft1 table-wrap mode="anchored" t5 caption a7 Gene Symbol Assay ID# Cytochrome P450, subfamily 1B, polypeptide 1 Cyp1b1 Rn00564055_m1 Guanosine monophosphate reductase Gmpr Rn00589361_m1 Xanthine dehydrogenase Xdh Rn00567654_m1 Cadherin 1 Cdh1 Rn00580109_m1 Phospholipase A2, group IVA (cytosolic, Ca-dependent) Pla2g4a Rn00591916_m1 Aldehyde oxidase Aox1 Rn00571242_m1 Regulator of G-protein signaling protein 2 Rgs2 Rn00584932_m1 Carnitine palmitoyltransferase 2 Cpt2 Rn00563995_m1 Steroid 5 alpha-reductase 1 Srd5a1 Rn00567064_m1 Enolase 1, alpha Eno1 Rn00820594_g1 N-ethylmaleimide sensitive factor Nsf Rn00572694_m1 Cytochrome P450, subfamily 11B, polypeptide 3 Cyp11b3 Rn00822066_g1 Steroidogenic acute regulatory protein StAR Rn00580695_m1 Cytochrome P450, subfamily 11A Cyp11a Rn00568733_m1 Cytochrome P450, subfamily 21A, polypeptide 1 Cyp21a1 Rn00588996_g1 3-hydroxy-3-methylglutaryl-Coenzyme A reductase Hmgcr Rn00565598_m1 Low density lipoprotein receptor Ldlr Rn00598438_m1 Vascular endothelial growth factor Vegf Rn00582935_m1 Hypoxia-inducible factor 1 alpha Hif1a Rn00577560_m1 Open in a separate window Each Gene Expression Assay consisted of a mix of sequence specific forward/reverse primers and a FAM-labeled probe.

    Techniques: Real-time Polymerase Chain Reaction, Expressing, Microarray

    (A) Venn diagram showing the number of shared and organ-specific RBPs identified. (B) Normalized signal sum of identified RBPs in ex vivo eRIC eluates (upper panel) and the corresponding input samples (middle panel) for each organ analyzed. Center lines indicate the median, box borders represent the interquartile range (IQR), and whiskers extend to ±1.5 time the IQR; outliers are shown as black dots (pairwise comparisons using t-test with FDR correction, ***p.adj < 2e-16; n.s.: not significant). Bottom panel: amount of poly(A) RNA isolated from each organ by eRIC. Note that the retrieved mass of protein (upper panel) differs extensively across the tissues analyzed (with kidney >> liver > brain) and does not necessarily correlate with the mass of RNA recovered (bottom panel) (see also Table S2). (C) Hierarchical clustering and heatmap of the RBPs identified in brain, kidney and liver, showing protein abundance in eRIC eluates (left columns) and inputs (right columns) across the three organs. (D) Representative images of the proximity ligation assay (PLA) for interactions of ENO1 and poly(A) RNA, nuclear staining (DAPI) and ENO1 immunofluorescence in brain, kidney and liver. Scale bar, 20 µM. See quantification in Figure S2B.

    Journal: bioRxiv

    Article Title: The RNA-binding protein landscapes differ between mammalian organs and cultured cells

    doi: 10.1101/2022.02.10.479897

    Figure Lengend Snippet: (A) Venn diagram showing the number of shared and organ-specific RBPs identified. (B) Normalized signal sum of identified RBPs in ex vivo eRIC eluates (upper panel) and the corresponding input samples (middle panel) for each organ analyzed. Center lines indicate the median, box borders represent the interquartile range (IQR), and whiskers extend to ±1.5 time the IQR; outliers are shown as black dots (pairwise comparisons using t-test with FDR correction, ***p.adj < 2e-16; n.s.: not significant). Bottom panel: amount of poly(A) RNA isolated from each organ by eRIC. Note that the retrieved mass of protein (upper panel) differs extensively across the tissues analyzed (with kidney >> liver > brain) and does not necessarily correlate with the mass of RNA recovered (bottom panel) (see also Table S2). (C) Hierarchical clustering and heatmap of the RBPs identified in brain, kidney and liver, showing protein abundance in eRIC eluates (left columns) and inputs (right columns) across the three organs. (D) Representative images of the proximity ligation assay (PLA) for interactions of ENO1 and poly(A) RNA, nuclear staining (DAPI) and ENO1 immunofluorescence in brain, kidney and liver. Scale bar, 20 µM. See quantification in Figure S2B.

    Article Snippet: Subsequently, the Duolink PLA Fluorescence protocol (Sigma) was followed using an anti-biotin antibody (mouse: 1:400; ab201341, Abcam) and either the anti-ENO1 (rabbit: 1:400; Proteintech, 11204-1-AP), anti-SLC3A2 (rabbit: 1:400; Santa Cruz Biotechnology, sc-9160), anti-DDX6 (rabbit: 1:400; Novus Biologicals, NB200-192) or anti-PKM1 antibody (rabbit: 1:400; Cell Signalling, D30G6) for detection of the protein–RNA signal.

    Techniques: Ex Vivo, Isolation, Proximity Ligation Assay, Staining, Immunofluorescence

    ENO1 expression in liver cancer tissue and peripheral blood of patients with liver cancer. (A) ENO1 expression in liver cancer tissues (×100). (B) ENO1 was not expressed in benign liver lesions (×100). (C) Serum anti-ENO1 antibody levels in patients with liver cancer were higher than those in patients with benign liver lesions and healthy controls. (D) ENO1 expression in liver cancer tissues (×400). (E) ENO1 was not expressed in benign liver lesion (×400). (F) Receiver operating characteristic curve analysis for liver cancer diagnosis using anti-ENO1 antibody levels. The AUC was 0.741, the sensitivity was 64.3% and the specificity was 85.5%. The red dot represents the cut-off value. **P<0.01; ****P<0.0001 ENO1, α-enolase; AUC, area under the curve.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: ENO1 expression in liver cancer tissue and peripheral blood of patients with liver cancer. (A) ENO1 expression in liver cancer tissues (×100). (B) ENO1 was not expressed in benign liver lesions (×100). (C) Serum anti-ENO1 antibody levels in patients with liver cancer were higher than those in patients with benign liver lesions and healthy controls. (D) ENO1 expression in liver cancer tissues (×400). (E) ENO1 was not expressed in benign liver lesion (×400). (F) Receiver operating characteristic curve analysis for liver cancer diagnosis using anti-ENO1 antibody levels. The AUC was 0.741, the sensitivity was 64.3% and the specificity was 85.5%. The red dot represents the cut-off value. **P<0.01; ****P<0.0001 ENO1, α-enolase; AUC, area under the curve.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Expressing

     ENO1  expression in pathological tissues.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: ENO1 expression in pathological tissues.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Expressing

    Comparison of the serum  anti-ENO1  antibody levels among the three groups of participants [P50 (P25-P75)].

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: Comparison of the serum anti-ENO1 antibody levels among the three groups of participants [P50 (P25-P75)].

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques:

    Validation of the siRNA interference effect on ENO1 expression in liver cancer cells. (A) RT-qPCR validation of the effect of siRNA interference on ENO1 expression in HepG2 cells. The results showed that the relative expression levels of the ENO1 gene in the si-1 and si-2 groups were lower than those in the control group. (B) RT-qPCR validation of the effect of siRNA interference on ENO1 expression in Huh7 cells. The results showed that the relative expression levels of the ENO1 gene in the si-1 and si-2 groups were lower than those in the control group. (C) Western blot validation of the effect of siRNA interference on ENO1 expression in HepG2 cells. The results showed that the relative expression levels of the ENO1 protein in HepG2 cells in the si-1 and si-2 groups were significantly lower than those in the control group. (D) Western blot validation of the effect of siRNA interference on ENO1 expression in Huh7 cells. The results showed that the relative expression levels of the ENO1 protein in Huh7 cells in the si-1 and si-2 groups were significantly lower than those in the control group. **P<0.01; ****P<0.0001. siRNA, small interfering RNA; ENO1, α-enolase; si-1, siRNA interference group 1; si-2, siRNA interference group 2; RT-qPCR, reverse transcription-quantitative PCR.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: Validation of the siRNA interference effect on ENO1 expression in liver cancer cells. (A) RT-qPCR validation of the effect of siRNA interference on ENO1 expression in HepG2 cells. The results showed that the relative expression levels of the ENO1 gene in the si-1 and si-2 groups were lower than those in the control group. (B) RT-qPCR validation of the effect of siRNA interference on ENO1 expression in Huh7 cells. The results showed that the relative expression levels of the ENO1 gene in the si-1 and si-2 groups were lower than those in the control group. (C) Western blot validation of the effect of siRNA interference on ENO1 expression in HepG2 cells. The results showed that the relative expression levels of the ENO1 protein in HepG2 cells in the si-1 and si-2 groups were significantly lower than those in the control group. (D) Western blot validation of the effect of siRNA interference on ENO1 expression in Huh7 cells. The results showed that the relative expression levels of the ENO1 protein in Huh7 cells in the si-1 and si-2 groups were significantly lower than those in the control group. **P<0.01; ****P<0.0001. siRNA, small interfering RNA; ENO1, α-enolase; si-1, siRNA interference group 1; si-2, siRNA interference group 2; RT-qPCR, reverse transcription-quantitative PCR.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Expressing, Quantitative RT-PCR, Western Blot, Small Interfering RNA, Real-time Polymerase Chain Reaction

    Effect of ENO1 siRNA on liver cancer cell proliferation. (A) HepG2 and (B) Huh7 cell proliferation was suppressed after ENO1 siRNA treatment. Results show that 72 h after transfection in the si-1 and si-2 groups, ENO1 siRNA treatment resulted in proliferation inhibition in HepG2 and Huh7 cells. In HepG2 cells, the differences in cell proliferation between the NC and the siRNA-treated groups were statistically significant (P<0.05 vs. si-2 group and P<0.01 vs. si-1 group). Cell proliferation in Huh7 cells was also significantly different. *P<0.05; **P<0.01. ENO1, α-enolase; siRNA, small interfering RNA; si-1, siRNA interference group 1; si-2, siRNA interference group 2; OD, optical density; NC, negative control.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: Effect of ENO1 siRNA on liver cancer cell proliferation. (A) HepG2 and (B) Huh7 cell proliferation was suppressed after ENO1 siRNA treatment. Results show that 72 h after transfection in the si-1 and si-2 groups, ENO1 siRNA treatment resulted in proliferation inhibition in HepG2 and Huh7 cells. In HepG2 cells, the differences in cell proliferation between the NC and the siRNA-treated groups were statistically significant (P<0.05 vs. si-2 group and P<0.01 vs. si-1 group). Cell proliferation in Huh7 cells was also significantly different. *P<0.05; **P<0.01. ENO1, α-enolase; siRNA, small interfering RNA; si-1, siRNA interference group 1; si-2, siRNA interference group 2; OD, optical density; NC, negative control.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Transfection, Inhibition, Small Interfering RNA, Negative Control

    Effect of ENO1 siRNA on the migration ability of liver cancer cells. (A) Compared with that of the NC group, HepG2 cell migration after ENO1 siRNA treatment became slower in the si-1 and si-2 groups, and the difference was statistically significant at 48 h after treatment. (B) Gap size was measured using ImageJ software and the ratio of gap size after ENO1 siRNA treatment in HepG2 cells was calculated based on the size of the wound at 0 h. (C) Compared with that of the NC group, Huh7 cell migration after ENO1 siRNA treatment became slower in the si-1 and si-2 groups, and the difference was statistically significant at 48 h after treatment. (D) Gap size was measured with the ImageJ software and the ratio of gap size after ENO1 siRNA treatment in Huh7 cell was calculated based on the size of the wound at 0 h. *P<0.05; **P<0.01. ENO1, α-enolase; siRNA, small interfering RNA; NC, negative control; si-1, siRNA interference group 1; si-2, siRNA interference group 2.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: Effect of ENO1 siRNA on the migration ability of liver cancer cells. (A) Compared with that of the NC group, HepG2 cell migration after ENO1 siRNA treatment became slower in the si-1 and si-2 groups, and the difference was statistically significant at 48 h after treatment. (B) Gap size was measured using ImageJ software and the ratio of gap size after ENO1 siRNA treatment in HepG2 cells was calculated based on the size of the wound at 0 h. (C) Compared with that of the NC group, Huh7 cell migration after ENO1 siRNA treatment became slower in the si-1 and si-2 groups, and the difference was statistically significant at 48 h after treatment. (D) Gap size was measured with the ImageJ software and the ratio of gap size after ENO1 siRNA treatment in Huh7 cell was calculated based on the size of the wound at 0 h. *P<0.05; **P<0.01. ENO1, α-enolase; siRNA, small interfering RNA; NC, negative control; si-1, siRNA interference group 1; si-2, siRNA interference group 2.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Migration, Software, Small Interfering RNA, Negative Control

    Effect of ENO1 siRNA on the invasion and migration abilities of liver cancer cells. Compared with the NC group, the in vitro invasion and migration abilities of (A) HepG2 and (B) Huh7 cells after ENO1 siRNA treatment decreased in the si-1 and si-2 groups, and the differences were statistically significant. Numbers of (C) HepG2 and (D) Huh7 cells were measured with the ImageJ software after ENO1 siRNA treatment. *P<0.05; **P<0.01; ***P<0.001; ****P<0.0001. ENO1, α-enolase; siRNA, small interfering RNA; NC, negative control; si-1, siRNA interference group 1; si-2, siRNA interference group 2.

    Journal: Oncology Letters

    Article Title: α-enolase is highly expressed in liver cancer and promotes cancer cell invasion and metastasis

    doi: 10.3892/ol.2020.12003

    Figure Lengend Snippet: Effect of ENO1 siRNA on the invasion and migration abilities of liver cancer cells. Compared with the NC group, the in vitro invasion and migration abilities of (A) HepG2 and (B) Huh7 cells after ENO1 siRNA treatment decreased in the si-1 and si-2 groups, and the differences were statistically significant. Numbers of (C) HepG2 and (D) Huh7 cells were measured with the ImageJ software after ENO1 siRNA treatment. *P<0.05; **P<0.01; ***P<0.001; ****P<0.0001. ENO1, α-enolase; siRNA, small interfering RNA; NC, negative control; si-1, siRNA interference group 1; si-2, siRNA interference group 2.

    Article Snippet: The anti-ENO1 antibody ELISA detection reagent kit (cat. no. CSB-EQ027775HU) was purchased from CUSABIO Technology LLC.

    Techniques: Migration, In Vitro, Software, Small Interfering RNA, Negative Control