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TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 <t>cells.</t> <t>RT-qPCR</t> and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.
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TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 <t>cells.</t> <t>RT-qPCR</t> and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.
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TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 <t>cells.</t> <t>RT-qPCR</t> and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.
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TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 <t>cells.</t> <t>RT-qPCR</t> and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.
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Proposed pipeline for episignature detection. Two main paths exist depending on whether other <t>methylation</t> profiles are available for comparison. If not, an external facility is required. If so, the user can either develop their own episignature or test any open-access model, searching for the disease of interest by consulting the studies summarized in this review. In the principal component analysis (PCA) and hierarchical clustering colors indicate case (orange) and control (green/blue) samples. Icons downloaded from BioRender.org. There is no copyright issue.
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TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 cells. RT-qPCR and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.

Journal: Iranian Journal of Biotechnology

Article Title: Targeting TPX2 to Enhance Metastasis Control and Radiosensitivity in Esophageal Squamous Cell Carcinoma Through PI3K/AKT Pathway Modulation

doi: 10.30498/ijb.2025.549444.4243

Figure Lengend Snippet: TPX2 promotes the invasion and migration ability of ESCC cells. A) Western blot analysis was conducted to assess TPX2 expression levels in ESCC cell lines (K150, K180, K410, K450, K510 and TE-1 cells). B-E) Lentivirus transfection was employed to enhance TPX2 expression in KYSE150 and KYSE510 cells. RT-qPCR and Western blotting analyses demonstrated a substantial increase in TPX2 mRNA and protein levels. Statistical analyses were performed by Student’s t-test. F) Effects of TPX2 overexpression on wound healing in K150 cells; G, H) Transwell assay was performed to analyze the effect of TPX2 on K150 cell migration and invasion in vitro . (Scale bar = 100 µm); I) Effects of TPX2 overexpression on wound healing in K510 cells; J, K) Transwell assay was performed to analyze the effect of TPX2 on K510 cell migration and invasion in vitro. (Scale bar = 100 µm) Each bar displays the mean ± SD of 3 independent experiments as analyzed by paired two-tailed Student’s t-test. * indicates p<0.05, ** indicates p<0.01, *** indicates p<0.001.

Article Snippet: For RT-qPCR gene expression analysis, SYBR Green (cat. # C0008, Target Mol) was utilized following the manufacturer’s instructions.

Techniques: Migration, Western Blot, Expressing, Transfection, Quantitative RT-PCR, Over Expression, Transwell Assay, In Vitro, Two Tailed Test

TPX2 affects the expression of TPX2 in surrounding cells through exosomes. A-D) Characterization of exosomes was performed using transmission electron microscopy (TEM), nanotracker (NTA). E) Western blot analysis with positive markers CD63 and TSG101. F) Labeling exosomes with the fluorescent dye PKH26 confirmed their uptake by cells. G) RT-qPCR data showed significantly higher levels of TPX2 mRNA in exosomes derived from cells overexpressing TPX2 compared to exosomes from control cells. H, I) we examined whether neighboring cells could absorb TPX2 from these exosomes. Exosomes from different sources were incubated with K150 and K510 cells. After 24 hours, cells were collected, and a Western blot analysis of TPX2 expression was conducted. *** indicates p<0.001.

Journal: Iranian Journal of Biotechnology

Article Title: Targeting TPX2 to Enhance Metastasis Control and Radiosensitivity in Esophageal Squamous Cell Carcinoma Through PI3K/AKT Pathway Modulation

doi: 10.30498/ijb.2025.549444.4243

Figure Lengend Snippet: TPX2 affects the expression of TPX2 in surrounding cells through exosomes. A-D) Characterization of exosomes was performed using transmission electron microscopy (TEM), nanotracker (NTA). E) Western blot analysis with positive markers CD63 and TSG101. F) Labeling exosomes with the fluorescent dye PKH26 confirmed their uptake by cells. G) RT-qPCR data showed significantly higher levels of TPX2 mRNA in exosomes derived from cells overexpressing TPX2 compared to exosomes from control cells. H, I) we examined whether neighboring cells could absorb TPX2 from these exosomes. Exosomes from different sources were incubated with K150 and K510 cells. After 24 hours, cells were collected, and a Western blot analysis of TPX2 expression was conducted. *** indicates p<0.001.

Article Snippet: For RT-qPCR gene expression analysis, SYBR Green (cat. # C0008, Target Mol) was utilized following the manufacturer’s instructions.

Techniques: Expressing, Transmission Assay, Electron Microscopy, Western Blot, Labeling, Quantitative RT-PCR, Derivative Assay, Control, Incubation

Proposed pipeline for episignature detection. Two main paths exist depending on whether other methylation profiles are available for comparison. If not, an external facility is required. If so, the user can either develop their own episignature or test any open-access model, searching for the disease of interest by consulting the studies summarized in this review. In the principal component analysis (PCA) and hierarchical clustering colors indicate case (orange) and control (green/blue) samples. Icons downloaded from BioRender.org. There is no copyright issue.

Journal: Biomedicines

Article Title: Analysis Methods for Diagnosing Rare Neurodevelopmental Diseases with Episignatures: A Systematic Review of the Literature

doi: 10.3390/biomedicines13123043

Figure Lengend Snippet: Proposed pipeline for episignature detection. Two main paths exist depending on whether other methylation profiles are available for comparison. If not, an external facility is required. If so, the user can either develop their own episignature or test any open-access model, searching for the disease of interest by consulting the studies summarized in this review. In the principal component analysis (PCA) and hierarchical clustering colors indicate case (orange) and control (green/blue) samples. Icons downloaded from BioRender.org. There is no copyright issue.

Article Snippet: , Qlucore , Web-based , Methylation analysis. , .

Techniques: Methylation, Comparison, Control

Full episignature detection pipeline using methylation arrays. Continuous dark green lines and boxes indicate steps conducted in most studies or considered key. Dotted light-green lines and boxes indicate processes that sometimes are not conducted, but were considered important to keep in mind. In the PCA, hierarchical clustering, epimutation plot, and discovery/validation plot, colors indicate cases (orange) and controls (green/blue). In the external validation plot, colors represent different diseases to illustrate validation using cases of the studied episignature (positive controls) and controls plus other cases that should not respond to the episignature (negative controls). Icons downloaded from BioRender.org. There is no copyright issue.

Journal: Biomedicines

Article Title: Analysis Methods for Diagnosing Rare Neurodevelopmental Diseases with Episignatures: A Systematic Review of the Literature

doi: 10.3390/biomedicines13123043

Figure Lengend Snippet: Full episignature detection pipeline using methylation arrays. Continuous dark green lines and boxes indicate steps conducted in most studies or considered key. Dotted light-green lines and boxes indicate processes that sometimes are not conducted, but were considered important to keep in mind. In the PCA, hierarchical clustering, epimutation plot, and discovery/validation plot, colors indicate cases (orange) and controls (green/blue). In the external validation plot, colors represent different diseases to illustrate validation using cases of the studied episignature (positive controls) and controls plus other cases that should not respond to the episignature (negative controls). Icons downloaded from BioRender.org. There is no copyright issue.

Article Snippet: , Qlucore , Web-based , Methylation analysis. , .

Techniques: Methylation, Biomarker Discovery