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Procell Inc murine endothelial cell line svec4 10
A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , <t>I</t> <t>SVEC4-10</t> endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.
Murine Endothelial Cell Line Svec4 10, supplied by Procell Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/murine+endothelial+cell+line+svec4+10/cell+endothelial+medium/pmc12992918-419-18-44
Average 86 stars, based on 1 article reviews
murine endothelial cell line svec4 10 - by Bioz Stars, 2026-09
86/100 stars

Images

1) Product Images from "Hepatocytes functionally reprogrammed by KIAA1199-high colorectal cancer cells favour the accumulation of pro-metastatic Egr1 + neutrophils"

Article Title: Hepatocytes functionally reprogrammed by KIAA1199-high colorectal cancer cells favour the accumulation of pro-metastatic Egr1 + neutrophils

Journal: Nature Communications

doi: 10.1038/s41467-026-69250-1

A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , I SVEC4-10 endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.
Figure Legend Snippet: A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , I SVEC4-10 endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.

Techniques Used: Injection, Control, Immunofluorescence, CCK-8 Assay, Functional Assay, Migration, Scratch Wound Assay Assay



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A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , <t>I</t> <t>SVEC4-10</t> endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.
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Fig. 2. Functional assessment of Az-EVs in 2D <t>endothelial</t> culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.
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Fig. 2. Functional assessment of Az-EVs in 2D <t>endothelial</t> culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.
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Fig. 2. Functional assessment of Az-EVs in 2D <t>endothelial</t> culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.
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Fig. 2. Functional assessment of Az-EVs in 2D <t>endothelial</t> culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.
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Image Search Results


A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , I SVEC4-10 endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.

Journal: Nature Communications

Article Title: Hepatocytes functionally reprogrammed by KIAA1199-high colorectal cancer cells favour the accumulation of pro-metastatic Egr1 + neutrophils

doi: 10.1038/s41467-026-69250-1

Figure Lengend Snippet: A Subcutaneous tumor growth in mice co-injected with CRC cells and either Egr1⁺ or control neutrophils. Tumor volume was monitored for 21 days. Inset shows representative tumors at endpoint ( n = 5 mice, two-way ANOVA). B CD31 immunofluorescence (green) and vascular density quantification in subcutaneous tumors. Yellow arrowheads indicate endothelial structures ( n = 5 mice, Student’s t test). Scale bars: 100 µm. C mIHC of pre-metastatic livers (day 14) showing spatial association of Egr1 + neutrophils (white arrowheads) and CD31⁺ vessels (yellow arrowheads). Scale bars: 100 µm. D , E Co-localization analysis of Egr1⁺ neutrophils and CD31⁺ vasculature in mouse ( D , n = 2 mice) and human ( E , n = 2 patients) CRLM samples, highlighting the tumor boundary. Scale bars: 100 µm. F , I SVEC4-10 endothelial cell viability (CCK-8) ( n = 3 independent experiments, Student’s t test). G , J Endothelial functional assays using supernatants from triple co-cultures treated with Rog or WRW4 ( n = 3 independent experiments, Student’s t test). H , K Endothelial migration (scratch wound assay) ( n = 3 independent experiments, Student’s t test). L Representative tube formation images (HUVEC and SVEC4-10) treated with neutrophil-conditioned media ( n = 3 independent experiments). Scale bars: 20 µm. M , N Quantification of vessel numbers ( M ) and junction points ( N ) ( n = 3 independent experiments, Student’s t test). Where applicable, all statistical tests are two-sided. Data are presented as mean ± s.d. Source data and exact p values are provided as a Source Data file.

Article Snippet: Murine colorectal cancer cell lines MC38 (Cat# CL-0972) and CT26 (Cat# CL-0071), murine hepatocyte line AML12 (Cat# CL-0602), murine endothelial cell line SVEC4-10 (Cat# CL-0221), human umbilical vein endothelial cells (HUVEC, Cat# CL-0675), and human myeloid cell line HL-60 (Cat# CL-0110) were obtained from Procell Life Science & Technology Co., Ltd. (Wuhan, China).

Techniques: Injection, Control, Immunofluorescence, CCK-8 Assay, Functional Assay, Migration, Scratch Wound Assay Assay

Fig. 2. Functional assessment of Az-EVs in 2D endothelial culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.

Journal: Journal of dairy science

Article Title: Chemical interactions among caseins during rennet coagulation of milk.

doi: 10.3168/jds.2021-21071

Figure Lengend Snippet: Fig. 2. Functional assessment of Az-EVs in 2D endothelial culture. (A,B) Immunofluorescence staining (A) and quantification (B) of EV cellular uptake by HUVECs. MSC-EVs with Ac4ManNAz labeling with and without neuraminidase post-labeling treatment and MSC-EVs without Ac4ManNAz labeling (DMSO) were stained with lipophilic dye (PKH26) and DBCO-AF488. Cells were co-stained with Phalloidin and DAPI (n = 9). (C–E) Brightfield imaging (C) and quantification of tube length (D) and number of branch points (E) of HUVECs tube formation assay over 6 and 12 h culture periods. Cell were exposed to 0, 5 or 10 μg/mL Az-EVs (AE) or non-Az-EVs (NE) (n = 3). (F,G) Brightfield imaging (F) and quantification (G) of endothelial scratch wound healing assay using HUVECs and SVECs over 6 and 12 h culture periods. Cell were exposed to 0 or 20 μg/mL Az-EVs (n = 3). (H,I) Imaging (H) and quantification (I) of endothelial transwell migration using HUVECs and SVECs when exposed to varying concentrations of Az-EVs (5, 10, and 20 μg/mL). As a positive control, cells were treated with medium supplemented with FBS and 10 ng/mL epidermal growth factor (EGF) (n = 3). One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.

Article Snippet: Murine lymphatic endothelial cell line (SVEC4-10, CRL-2181 ATCC) were grown and maintained in high (4.5 g/L) glucose containing Dulbecco’s Modified Eagle’s Medium (DMEM, Thermo Fisher) supplemented with 10% heat-inactivated exosome-depleted fetal bovine serum (FBS; Thermo Fisher).

Techniques: Functional Assay, Immunofluorescence, Staining, Labeling, Imaging, Tube Formation Assay, Wound Healing Assay, Migration, Positive Control

Fig. 5. Assessing host vascular ingrowth and macrophage recruitment in EV-functionalized collagen implants. (A,B) Histological analysis (A) and quanti fication (B) of host vascular ingrowth via endothelial CD31 staining (n = 7). (C,D) Histological analysis (C) and quantification (D) of M1 macrophage staining (CCR7) (n = 7). (E,F) Histological analysis (E) and quantification (F) of M2 macrophage staining (MMR) (n = 7). (G,H) IVIS images (G) and the quantification of fluorescence intensities (H) of the lectin accumulation in the implants 20 min after i.v. injection (n = 4). (I) Representative images for lectin perfused vasculature in the implants. One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.

Journal: Journal of dairy science

Article Title: Chemical interactions among caseins during rennet coagulation of milk.

doi: 10.3168/jds.2021-21071

Figure Lengend Snippet: Fig. 5. Assessing host vascular ingrowth and macrophage recruitment in EV-functionalized collagen implants. (A,B) Histological analysis (A) and quanti fication (B) of host vascular ingrowth via endothelial CD31 staining (n = 7). (C,D) Histological analysis (C) and quantification (D) of M1 macrophage staining (CCR7) (n = 7). (E,F) Histological analysis (E) and quantification (F) of M2 macrophage staining (MMR) (n = 7). (G,H) IVIS images (G) and the quantification of fluorescence intensities (H) of the lectin accumulation in the implants 20 min after i.v. injection (n = 4). (I) Representative images for lectin perfused vasculature in the implants. One-way ANOVA was used for statistical analysis and quantitative data were displayed as with mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001.

Article Snippet: Murine lymphatic endothelial cell line (SVEC4-10, CRL-2181 ATCC) were grown and maintained in high (4.5 g/L) glucose containing Dulbecco’s Modified Eagle’s Medium (DMEM, Thermo Fisher) supplemented with 10% heat-inactivated exosome-depleted fetal bovine serum (FBS; Thermo Fisher).

Techniques: Staining, Fluorescence, Injection