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Biomax Inc colon cancer human tissue array
(a) International <t>Cancer</t> Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of <t>human</t> normal and CRC <t>tissue</t> microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Colon Cancer Human Tissue Array, supplied by Biomax 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/result/colon cancer human tissue array/product/Biomax Inc
Average 86 stars, based on 1 article reviews
colon cancer human tissue array - by Bioz Stars, 2026-05
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1) Product Images from "Loss of colonic fidelity enables multilineage plasticity and metastasis"

Article Title: Loss of colonic fidelity enables multilineage plasticity and metastasis

Journal: Nature

doi: 10.1038/s41586-025-09125-5

(a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Figure Legend Snippet: (a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.

Techniques Used: Functional Assay, Staining, Microarray, Negative Staining, Expressing, Immunohistochemistry, Mutagenesis, Western Blot, Injection, Control, Two Tailed Test, MANN-WHITNEY



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Biomax Inc colon cancer human tissue array
(a) International <t>Cancer</t> Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of <t>human</t> normal and CRC <t>tissue</t> microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Colon Cancer Human Tissue Array, supplied by Biomax 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/result/colon cancer human tissue array/product/Biomax Inc
Average 86 stars, based on 1 article reviews
colon cancer human tissue array - by Bioz Stars, 2026-05
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Biomax Inc colon cancer human tissue array co804b
(a) International <t>Cancer</t> Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of <t>human</t> normal and CRC <t>tissue</t> microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Colon Cancer Human Tissue Array Co804b, supplied by Biomax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/colon cancer human tissue array co804b/product/Biomax Inc
Average 90 stars, based on 1 article reviews
colon cancer human tissue array co804b - by Bioz Stars, 2026-05
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Biomax Inc human colon cancer tissue arrays
(a) International <t>Cancer</t> Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of <t>human</t> normal and CRC <t>tissue</t> microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Human Colon Cancer Tissue Arrays, supplied by Biomax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biomax Inc human tissue microarrays (tmas) one colon cancer tissue array
(a) International <t>Cancer</t> Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of <t>human</t> normal and CRC <t>tissue</t> microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.
Human Tissue Microarrays (Tmas) One Colon Cancer Tissue Array, supplied by Biomax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biomax Inc colon cancer human tissue arrays co804b
a A sample of cores taken from a <t>human</t> <t>colon</t> <t>cancer</t> <t>tissue</t> microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .
Colon Cancer Human Tissue Arrays Co804b, supplied by Biomax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/colon cancer human tissue arrays co804b/product/Biomax Inc
Average 90 stars, based on 1 article reviews
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OriGene cdna arrays derived from human colon cancer tissues #hcrt104
a A sample of cores taken from a <t>human</t> <t>colon</t> <t>cancer</t> <t>tissue</t> microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .
Cdna Arrays Derived From Human Colon Cancer Tissues #Hcrt104, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene human colon cancer tissues
a A sample of cores taken from a <t>human</t> <t>colon</t> <t>cancer</t> <t>tissue</t> microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .
Human Colon Cancer Tissues, supplied by OriGene, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Advanced Cell Diagnostics Inc human colon cancer tissue array
a A sample of cores taken from a <t>human</t> <t>colon</t> <t>cancer</t> <t>tissue</t> microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .
Human Colon Cancer Tissue Array, supplied by Advanced Cell Diagnostics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.

Journal: Nature

Article Title: Loss of colonic fidelity enables multilineage plasticity and metastasis

doi: 10.1038/s41586-025-09125-5

Figure Lengend Snippet: (a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.

Article Snippet: The commercial colon cancer human tissue array used was CO804b (Biomax) (Extended Data Fig. ).

Techniques: Functional Assay, Staining, Microarray, Negative Staining, Expressing, Immunohistochemistry, Mutagenesis, Western Blot, Injection, Control, Two Tailed Test, MANN-WHITNEY

a A sample of cores taken from a human colon cancer tissue microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .

Journal: Nature Communications

Article Title: RNA splicing is a key mediator of tumour cell plasticity and a therapeutic vulnerability in colorectal cancer

doi: 10.1038/s41467-022-30489-z

Figure Lengend Snippet: a A sample of cores taken from a human colon cancer tissue microarray (TMA), with the same respective core stained for SRSF1 or PROX1 on different sections. Scale bar 500 µm. b Linear regression analysis showing the correlation of SRSF1 and PROX1 staining (based on histoscore) on the TMA shown in a , with each datapoint representing a core taken from a patient. c Relationship between SRSF1 immunohistochemistry staining and tumour stage in human patients, using TMA CO2081b, n = 54 vs 56 biologically independent tumour cores. d Representative images of patient-derived organoids (PDOs) treated with control or Srsf1 shRNAs. MD175 (polyp), MD20853 (CRC), MD20910 (CRC), MD19648 (FAP rectum Tumour), MD20043 (rectal carcinoma), C-002 (liver metastasis). Scale bar 1000 µm. e Number of surviving organoid clones after shRNA treatment and f size of indicated PDOs, n = 3 vs 3 independent experiments. g Viability of PDO MD20043 after Srsf1 shRNA treatment and h mRNA expression (qPCR) of indicated genes, n = 3 vs 3 independent experiments. i Model outlining the role of SRSF1 in modulating tumour cell plasticity and invasion in colorectal cancer. Data in bar charts are represented as mean and error bars are SD with data analysed with two-tailed, unpaired t- tests, p values are indicated in figure panels. All biological replicates are shown as individual value plots and n > 3. See also Figure .

Article Snippet: The colon cancer human tissue arrays used were CO804b and CO2081b. (Biomax).

Techniques: Microarray, Staining, Immunohistochemistry, Derivative Assay, Control, Clone Assay, shRNA, Expressing, Two Tailed Test