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antibodies against atg5  (Proteintech)
96
Proteintech antibodies against atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Antibodies Against Atg5, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/ATG5+Antibody/pmc13653537-98-10-17
Average 96 stars, based on 1 article reviews
antibodies against atg5 - by Bioz Stars, 2026-10
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48938s atg5 monoclonal antibody mouse  (Santa Cruz Biotechnology)
96
Santa Cruz Biotechnology 48938s atg5 monoclonal antibody mouse
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
48938s Atg5 Monoclonal Antibody Mouse, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/ATG5+Antibody/pm42821379-85-14-23
Average 96 stars, based on 1 article reviews
48938s atg5 monoclonal antibody mouse - by Bioz Stars, 2026-10
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atg5  (Cell Signaling Technology Inc)
96
Cell Signaling Technology Inc atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Atg5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/Atg5+Antibody/pm42822730-68-38-40
Average 96 stars, based on 1 article reviews
atg5 - by Bioz Stars, 2026-10
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atg5 atg12  (Santa Cruz Biotechnology)
96
Santa Cruz Biotechnology atg5 atg12
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Atg5 Atg12, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/ATG5+Antibody/10__1016_slash_j__apsb__2026__09__023-90-44-46
Average 96 stars, based on 1 article reviews
atg5 atg12 - by Bioz Stars, 2026-10
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skim milk  (Cell Signaling Technology Inc)
96
Cell Signaling Technology Inc skim milk
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Skim Milk, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/Atg5+Rabbit+mAb/10__1002_slash_fsn3__72313-91-4-6
Average 96 stars, based on 1 article reviews
skim milk - by Bioz Stars, 2026-10
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anti autophagy related protein 5 atg5  (Cell Signaling Technology Inc)
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Cell Signaling Technology Inc anti autophagy related protein 5 atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Anti Autophagy Related Protein 5 Atg5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/Beclin-1+Rabbit+mAb/pm42509425-50-30-34
Average 96 stars, based on 1 article reviews
anti autophagy related protein 5 atg5 - by Bioz Stars, 2026-10
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atg5  (Proteintech)
96
Proteintech atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Atg5, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/atg5/ATG5+Antibody/pm42503036-126-26-27
Average 96 stars, based on 1 article reviews
atg5 - by Bioz Stars, 2026-10
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atg5  (ABclonal Biotechnology)
95
ABclonal Biotechnology atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Atg5, supplied by ABclonal Biotechnology, 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/product/atg5/ATG5+Rabbit+pAb/pm41850409-133-23-25
Average 95 stars, based on 1 article reviews
atg5 - by Bioz Stars, 2026-10
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anti atg5  (ABclonal Biotechnology)
95
ABclonal Biotechnology anti atg5
(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, <t>ATG5,</t> IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.
Anti Atg5, supplied by ABclonal Biotechnology, 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/product/atg5/%5BKO+Validated%5D+ATG5+Rabbit+mAb/pm42394282-47-67-69
Average 95 stars, based on 1 article reviews
anti atg5 - by Bioz Stars, 2026-10
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Image Search Results


(A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, ATG5, IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.

Journal: PeerJ

Article Title: Prediction of prognosis and treatment effect of cervical cancer by immunogenic cell death-related genes

doi: 10.7717/peerj.21635

Figure Lengend Snippet: (A) UniCox analysis was performed to identify prognostic genes: Visualization of HR values in forest map, green represents low-risk genes, red represents high-risk genes. (B) The graph of lasso regression. (C) The graph of cross validation. (D), (E) ROC curves corresponding to prediction models in TCGA database (G) and GEO database (H). TCGA verification & GEO verification based on the patient’s risk score, the sample was divided into two groups: high and low risk, with low risk shown in blue and high risk in red. The abscissa is the survival time and the ordinate is the survival rate. (F) Risk curve: the abscissa represents the sorted samples. Risk curve: the vertical axis represents the risk score. The risk to patients increases from left to right. According to the median risk score of the patients, the sample was divided into high- and low-risk groups, with the low-risk group represented in green and the high-risk group represented in red. In the small graph survival state, the ordinate represents the survival time. The points in the graph are shown in red for patients who died and in green for those who survived. As the risk to patients increases, the risk of death also increases, ATG5, IL-1B, PDIA3, and TNF were high-risk genes, while FOXP3 and IFNG were low-risk genes. (I) Univariate COX regression analysis: risk score is correlated with patient outcome. (J) Multivariate COX regression analysis showed that risk scores could be used as independent prognostic predictor.

Article Snippet: The sections were incubated overnight at 4 °C with primary antibodies against ATG5 (Cat# 10181-2-AP, RRID: AB_10694400; Proteintech, Rosemont, IL, USA) or PDIA3 (Cat# 15967-1-AP, RRID: AB_2881232; Proteintech, Rosemont, IL, USA).

Techniques: Analysis, Biomarker Discovery

(A) ATG5 expression in normal cervical tissues. (B) ATG5 expression in CC. (C) PDIA3 expression in normal cervical tissues. (D) PDIA3 expression in CC.

Journal: PeerJ

Article Title: Prediction of prognosis and treatment effect of cervical cancer by immunogenic cell death-related genes

doi: 10.7717/peerj.21635

Figure Lengend Snippet: (A) ATG5 expression in normal cervical tissues. (B) ATG5 expression in CC. (C) PDIA3 expression in normal cervical tissues. (D) PDIA3 expression in CC.

Article Snippet: The sections were incubated overnight at 4 °C with primary antibodies against ATG5 (Cat# 10181-2-AP, RRID: AB_10694400; Proteintech, Rosemont, IL, USA) or PDIA3 (Cat# 15967-1-AP, RRID: AB_2881232; Proteintech, Rosemont, IL, USA).

Techniques: Expressing