RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer

Abstract Background Breast cancer and heart failure are major public health issues globally, characterized by significant genetic heterogeneity and complex molecular mechanisms. This study aims to explore potential genetic targets in heart failure and breast cancer through combining genetic inferenc...

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Main Authors: Yue Li, Ying Huang, Ning An, Xiaomiao Guan, Bing Liu, Huiying Li, Tingting Jiang
Format: Article
Language:English
Published: Springer 2024-10-01
Series:Journal of Cancer Research and Clinical Oncology
Subjects:
Online Access:https://doi.org/10.1007/s00432-024-06010-y
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author Yue Li
Ying Huang
Ning An
Xiaomiao Guan
Bing Liu
Huiying Li
Tingting Jiang
author_facet Yue Li
Ying Huang
Ning An
Xiaomiao Guan
Bing Liu
Huiying Li
Tingting Jiang
author_sort Yue Li
collection DOAJ
description Abstract Background Breast cancer and heart failure are major public health issues globally, characterized by significant genetic heterogeneity and complex molecular mechanisms. This study aims to explore potential genetic targets in heart failure and breast cancer through combining genetic inference and single-cell expression analysis, and to assess the causal relationships of these targets using Mendelian randomization methods. Methods We first identified genetic variants associated with heart failure and breast cancer using genome-wide association study (GWAS) data. Subsequently, we analyzed the expression patterns of these genetic variants in different cell types through single-cell RNA sequencing technology. Furthermore, we utilized in vitro experiment to assess the effects of ITM2B on MCF7 using immunofluorescence. Results Our study identified multiple genetic variants associated with heart failure and breast cancer, showing specific expression patterns in heart and breast cells. The ITM2B gene is highly expressed in breast cancer. ITM2B shows the highest expression in T cells and the lowest expression in proliferating cells. Silencing the ITM2B gene can promote apoptosis and inhibit proliferation and migration of MCF7 breast cancer cells. Conclusion By integrating genetic inference and single-cell expression analysis, this study revealed potential genetic targets in heart failure and breast cancer, and validated the causal effects of these targets using Mendelian randomization methods.
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spelling doaj-art-59e9328eea5340e5b01521c4ae041fb22025-08-20T02:15:06ZengSpringerJournal of Cancer Research and Clinical Oncology1432-13352024-10-011501011610.1007/s00432-024-06010-yRETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancerYue Li0Ying Huang1Ning An2Xiaomiao Guan3Bing Liu4Huiying Li5Tingting Jiang6Department of Cardiovascular, Liaoning Jinqiu HospitalDepartment of Cardiovascular, Liaoning Jinqiu HospitalDepartment of Cardiovascular, Liaoning Jinqiu HospitalDepartment of Nursing, Shengjing Hospital of China Medical UniversityDepartment of Nursing, Shengjing Hospital of China Medical UniversityDepartment of Nursing, Shengjing Hospital of China Medical UniversityDepartment of Nursing, Shengjing Hospital of China Medical UniversityAbstract Background Breast cancer and heart failure are major public health issues globally, characterized by significant genetic heterogeneity and complex molecular mechanisms. This study aims to explore potential genetic targets in heart failure and breast cancer through combining genetic inference and single-cell expression analysis, and to assess the causal relationships of these targets using Mendelian randomization methods. Methods We first identified genetic variants associated with heart failure and breast cancer using genome-wide association study (GWAS) data. Subsequently, we analyzed the expression patterns of these genetic variants in different cell types through single-cell RNA sequencing technology. Furthermore, we utilized in vitro experiment to assess the effects of ITM2B on MCF7 using immunofluorescence. Results Our study identified multiple genetic variants associated with heart failure and breast cancer, showing specific expression patterns in heart and breast cells. The ITM2B gene is highly expressed in breast cancer. ITM2B shows the highest expression in T cells and the lowest expression in proliferating cells. Silencing the ITM2B gene can promote apoptosis and inhibit proliferation and migration of MCF7 breast cancer cells. Conclusion By integrating genetic inference and single-cell expression analysis, this study revealed potential genetic targets in heart failure and breast cancer, and validated the causal effects of these targets using Mendelian randomization methods.https://doi.org/10.1007/s00432-024-06010-yGenetic inferenceSingle cell expression analysisHeart failureBreast cancerPotential target
spellingShingle Yue Li
Ying Huang
Ning An
Xiaomiao Guan
Bing Liu
Huiying Li
Tingting Jiang
RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
Journal of Cancer Research and Clinical Oncology
Genetic inference
Single cell expression analysis
Heart failure
Breast cancer
Potential target
title RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
title_full RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
title_fullStr RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
title_full_unstemmed RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
title_short RETRACTED ARTICLE: Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
title_sort retracted article genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer
topic Genetic inference
Single cell expression analysis
Heart failure
Breast cancer
Potential target
url https://doi.org/10.1007/s00432-024-06010-y
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