MTFAP: a comprehensive platform for predicting and analyzing master transcription factors
Abstract Master transcription factors (MTFs) activate gene expression in pluripotent embryonic stem cells (ESCs) by binding to enhancers and super-enhancers, which precisely control ESC fate. Compelling evidence reveals a strong correlation between the operation of MTFs and the initiation and progre...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-83686-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559438785249280 |
|---|---|
| author | Jianyuan Zhou Haojie Yu Chunhui Lou Min Yang Yanshang Li Qian Yang Shuhan Li Chunwang Ji Song Li Shuang Wang Haotian Cao Xuecang Li Lian Liu |
| author_facet | Jianyuan Zhou Haojie Yu Chunhui Lou Min Yang Yanshang Li Qian Yang Shuhan Li Chunwang Ji Song Li Shuang Wang Haotian Cao Xuecang Li Lian Liu |
| author_sort | Jianyuan Zhou |
| collection | DOAJ |
| description | Abstract Master transcription factors (MTFs) activate gene expression in pluripotent embryonic stem cells (ESCs) by binding to enhancers and super-enhancers, which precisely control ESC fate. Compelling evidence reveals a strong correlation between the operation of MTFs and the initiation and progression of cancer. Nevertheless, the challenge of identifying MTFs imposes a barrier for researchers. Therefore, we developed a master transcription factors prediction and analysis web resource (MTFAP). MTFAP is a comprehensive web tool designed to predict and analyze MTFs with different data types. To enhance user experience and facilitate exploration of interest MTFs, MTFAP offers search and browse functionalities. Furthermore, we have developed a Docker file to empower users with the capability to conduct localized analyses Additionally, MTFAP extends support for further analysis and data visualization for the MTFs identified by Coltron and CRCmapper. The platform is freely available at http://www.xiejjlab.bio/MTFAP/ |
| format | Article |
| id | doaj-art-77300b4e6a0e4121b716b5739ff323f5 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-77300b4e6a0e4121b716b5739ff323f52025-01-05T12:27:42ZengNature PortfolioScientific Reports2045-23222024-12-011411810.1038/s41598-024-83686-9MTFAP: a comprehensive platform for predicting and analyzing master transcription factorsJianyuan Zhou0Haojie Yu1Chunhui Lou2Min Yang3Yanshang Li4Qian Yang5Shuhan Li6Chunwang Ji7Song Li8Shuang Wang9Haotian Cao10Xuecang Li11Lian Liu12Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversitySchool of Medical Informatics, Harbin Medical University, Daqing CampusSchool of Medical Informatics, Harbin Medical University, Daqing CampusDepartment of Biochemistry and Molecular Biology, Medical College of Shantou UniversityDepartment of Biochemistry and Molecular Biology, Medical College of Shantou UniversityDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityDepartment of Oral & Maxillofacial Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen UniversitySchool of Medical Informatics, Harbin Medical University, Daqing CampusDepartment of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityAbstract Master transcription factors (MTFs) activate gene expression in pluripotent embryonic stem cells (ESCs) by binding to enhancers and super-enhancers, which precisely control ESC fate. Compelling evidence reveals a strong correlation between the operation of MTFs and the initiation and progression of cancer. Nevertheless, the challenge of identifying MTFs imposes a barrier for researchers. Therefore, we developed a master transcription factors prediction and analysis web resource (MTFAP). MTFAP is a comprehensive web tool designed to predict and analyze MTFs with different data types. To enhance user experience and facilitate exploration of interest MTFs, MTFAP offers search and browse functionalities. Furthermore, we have developed a Docker file to empower users with the capability to conduct localized analyses Additionally, MTFAP extends support for further analysis and data visualization for the MTFs identified by Coltron and CRCmapper. The platform is freely available at http://www.xiejjlab.bio/MTFAP/https://doi.org/10.1038/s41598-024-83686-9Master transcription factorsCore regulatory circuitBulk RNA-seqSingle-cell RNA-seq |
| spellingShingle | Jianyuan Zhou Haojie Yu Chunhui Lou Min Yang Yanshang Li Qian Yang Shuhan Li Chunwang Ji Song Li Shuang Wang Haotian Cao Xuecang Li Lian Liu MTFAP: a comprehensive platform for predicting and analyzing master transcription factors Scientific Reports Master transcription factors Core regulatory circuit Bulk RNA-seq Single-cell RNA-seq |
| title | MTFAP: a comprehensive platform for predicting and analyzing master transcription factors |
| title_full | MTFAP: a comprehensive platform for predicting and analyzing master transcription factors |
| title_fullStr | MTFAP: a comprehensive platform for predicting and analyzing master transcription factors |
| title_full_unstemmed | MTFAP: a comprehensive platform for predicting and analyzing master transcription factors |
| title_short | MTFAP: a comprehensive platform for predicting and analyzing master transcription factors |
| title_sort | mtfap a comprehensive platform for predicting and analyzing master transcription factors |
| topic | Master transcription factors Core regulatory circuit Bulk RNA-seq Single-cell RNA-seq |
| url | https://doi.org/10.1038/s41598-024-83686-9 |
| work_keys_str_mv | AT jianyuanzhou mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT haojieyu mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT chunhuilou mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT minyang mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT yanshangli mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT qianyang mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT shuhanli mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT chunwangji mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT songli mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT shuangwang mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT haotiancao mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT xuecangli mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors AT lianliu mtfapacomprehensiveplatformforpredictingandanalyzingmastertranscriptionfactors |