1
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Jiang W, Hu Y, Wang X, Zhang Q, Guo X, Cheng S, Chen L, Ying J, Zhang L, Jiang B. miR-125b-5p-MAPK1-C/EBPα feedback loop regulates all-trans retinoic acid resistance in acute promyelocytic leukemia. Gene 2023; 889:147806. [PMID: 37717613 DOI: 10.1016/j.gene.2023.147806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 08/29/2023] [Accepted: 09/14/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND Various studies have highlighted the significance of miR-125b-5p in tumour chemotherapy resistance; However, whether miR-125b-5p is associated with all-trans retinoic acid (ATRA) resistance in acute promyelocytic leukemia (APL) has not been reported. METHODS Drug-resistance-related factors in APL were predicted using the DRESIS database. The expression levels of miR-125b-5p in ATRA-sensitive and ATRA-resistant APL cells were determined using quantitative reverse transcription polymerase chain reaction (qRT-PCR). A nitrotetrazolium blue (NBT) reduction assay and flow cytometry (FCM) were used to detect the effect of miR-125b-5p on ATRA resistance in APL cells. An APL xenograft tumour mouse model was established to determine the effect of miR-125b-5p on ATRA resistance. A dual-luciferase gene reporter assay, qRT-PCR, and western blotting verified the regulation by miR-125b-5p of its target gene, MAPK1, and the MAPK1 downstream factor, C/EBPα. An NBT reduction assay and FCM were used to detect the effect of C/EBPα on ATRA resistance in APL cells. Western blotting and qRT-PCR were used to assess the regulation of miR-125b-5p and MAPK1 by C/EBPα. RESULTS miR-125b-5p expression levels were dramatically increased in ATRA-resistant APL cells. Both in vitro and in vivo experiments revealed that miR-125b-5p overexpression enhanced ATRA resistance in APL. miR-125b-5p promoted ATRA resistance by sponging MAPK1. C/EBPα was negatively regulated by miR-125b-5p, which in addition, regulated ATRA resistance in APL cells. C/EBPα also regulated the miR-125b-5p-MAPK1 axis. CONCLUSION The findings of this study indicate that the miR-125b-5p-MAPK1-C/EBPα feedback loop regulated ATRA resistance in APL. Thus, miR-125b-5p may be a promising target for treating ATRA resistance in APL.
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Affiliation(s)
- Wenjuan Jiang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yongkang Hu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Xian Wang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Qi Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Xinlong Guo
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Siyu Cheng
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Langqun Chen
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jiahui Ying
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Liang Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
| | - Baoping Jiang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
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2
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Camargo-Forero N, Orozco-Arias S, Perez Agudelo JM, Guyot R. HERV-K (HML-2) insertion polymorphisms in the 8q24.13 region and their potential etiological associations with acute myeloid leukemia. Arch Virol 2023; 168:125. [PMID: 36988711 DOI: 10.1007/s00705-023-05747-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 02/03/2023] [Indexed: 03/30/2023]
Abstract
Human endogenous retroviruses (HERVs) are LTR retrotransposons that are present in the human genome. Among them, members of the HERV-K (HML-2) group are suspected to play a role in the development of different types of cancer, including lung, ovarian, and prostate cancer, as well as leukemia. Acute myeloid leukemia (AML) is an important disease that causes 1% of cancer deaths in the United States and has a survival rate of 28.7%. Here, we describe a method for assessing the statistical association between HERV-K (HML-2) transposable element insertion polymorphisms (or TIPs) and AML, using whole-genome sequencing and read mapping using TIP_finder software. Our results suggest that 101 polymorphisms involving HERV-K (HML-2) elements were correlated with AML, with a percentage between 44.4 to 56.6%, most of which (70) were located in the region from 8q24.13 to 8q24.21. Moreover, it was found that the TRIB1, LRATD2, POU5F1B, MYC, PCAT1, PVT1, and CCDC26 genes could be displaced or fragmented by TIPs. Furthermore, a general method was devised to facilitate analysis of the correlation between transposable element insertions and specific diseases. Finally, although the relationship between HERV-K (HML-2) TIPs and AML remains unclear, the data reported in this study indicate a statistical correlation, as supported by the χ2 test with p-values < 0.05.
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Affiliation(s)
- Nicolás Camargo-Forero
- School of Biology, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia
| | - Simon Orozco-Arias
- Department of Computer Science, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia.
- Department of Systems and Informatics, Universidad de Caldas, Manizales, Caldas, Colombia.
| | | | - Romain Guyot
- UMR DIADE, Université de Montpellier, Institut de recherche pour le développement, CIRAD, Montpellier, France
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
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3
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Berastegui N, Ainciburu M, Romero JP, Garcia-Olloqui P, Alfonso-Pierola A, Philippe C, Vilas-Zornoza A, San Martin-Uriz P, Ruiz-Hernández R, Abarrategi A, Ordoñez R, Alignani D, Sarvide S, Castro-Labrador L, Lamo-Espinosa JM, San-Julian M, Jimenez T, López-Cadenas F, Muntion S, Sanchez-Guijo F, Molero A, Montoro MJ, Tazón B, Serrano G, Diaz-Mazkiaran A, Hernaez M, Huerga S, Bewicke-Copley F, Rio-Machin A, Maurano MT, Díez-Campelo M, Valcarcel D, Rouault-Pierre K, Lara-Astiaso D, Ezponda T, Prosper F. The transcription factor DDIT3 is a potential driver of dyserythropoiesis in myelodysplastic syndromes. Nat Commun 2022; 13:7619. [PMID: 36494342 PMCID: PMC9734135 DOI: 10.1038/s41467-022-35192-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
Myelodysplastic syndromes (MDS) are hematopoietic stem cell (HSC) malignancies characterized by ineffective hematopoiesis, with increased incidence in older individuals. Here we analyze the transcriptome of human HSCs purified from young and older healthy adults, as well as MDS patients, identifying transcriptional alterations following different patterns of expression. While aging-associated lesions seem to predispose HSCs to myeloid transformation, disease-specific alterations may trigger MDS development. Among MDS-specific lesions, we detect the upregulation of the transcription factor DNA Damage Inducible Transcript 3 (DDIT3). Overexpression of DDIT3 in human healthy HSCs induces an MDS-like transcriptional state, and dyserythropoiesis, an effect associated with a failure in the activation of transcriptional programs required for normal erythroid differentiation. Moreover, DDIT3 knockdown in CD34+ cells from MDS patients with anemia is able to restore erythropoiesis. These results identify DDIT3 as a driver of dyserythropoiesis, and a potential therapeutic target to restore the inefficient erythroid differentiation characterizing MDS patients.
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Affiliation(s)
- Nerea Berastegui
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Marina Ainciburu
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan P Romero
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Paula Garcia-Olloqui
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Alfonso-Pierola
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
- Department of Hematology, Clínica Universidad de Navarra, Universidad de Navarra and CCUN, 31008, Pamplona, Spain
| | - Céline Philippe
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, England, UK
| | - Amaia Vilas-Zornoza
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Patxi San Martin-Uriz
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Raquel Ruiz-Hernández
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), San Sebastian, Spain
| | - Ander Abarrategi
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Raquel Ordoñez
- Institute for Systems Genetics, NYU School of Medicine, New York, NY, USA
| | - Diego Alignani
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Sarai Sarvide
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - Laura Castro-Labrador
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
| | - José M Lamo-Espinosa
- Department of Orthopedic Surgery and Traumatology, Clínica Universidad de Navarra, Universidad de Navarra and CCUN, 31008, Pamplona, Spain
| | - Mikel San-Julian
- Department of Orthopedic Surgery and Traumatology, Clínica Universidad de Navarra, Universidad de Navarra and CCUN, 31008, Pamplona, Spain
| | - Tamara Jimenez
- Department of Hematology, Hospital Universitario de Salamanca-IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - Félix López-Cadenas
- Department of Hematology, Hospital Universitario de Salamanca-IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - Sandra Muntion
- Department of Hematology, Hospital Universitario de Salamanca-IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - Fermin Sanchez-Guijo
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
- Department of Hematology, Hospital Universitario de Salamanca-IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - Antonieta Molero
- Department of Hematology, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Maria Julia Montoro
- Department of Hematology, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Bárbara Tazón
- Department of Hematology, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Guillermo Serrano
- Computational Biology Program, Institute for data science and artificial intelligence (datai), CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
| | - Aintzane Diaz-Mazkiaran
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
- Computational Biology Program, Institute for data science and artificial intelligence (datai), CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
| | - Mikel Hernaez
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
- Computational Biology Program, Institute for data science and artificial intelligence (datai), CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
| | - Sofía Huerga
- Department of Hematology, Clínica Universidad de Navarra, Universidad de Navarra and CCUN, 31008, Pamplona, Spain
| | - Findlay Bewicke-Copley
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Ana Rio-Machin
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Matthew T Maurano
- Institute for Systems Genetics, NYU School of Medicine, New York, NY, USA
- Department of Pathology, NYU School of Medicine, New York, NY, USA
| | - María Díez-Campelo
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain
- Department of Hematology, Hospital Universitario de Salamanca-IBSAL, Universidad de Salamanca, Salamanca, Spain
| | - David Valcarcel
- Department of Hematology, Experimental Hematology, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Kevin Rouault-Pierre
- Department of Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, England, UK
| | - David Lara-Astiaso
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Teresa Ezponda
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain.
| | - Felipe Prosper
- Department of Hematology-Oncology, CIMA Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Instituto de Salud Carlos III, Madrid, Spain.
- Department of Hematology, Clínica Universidad de Navarra, Universidad de Navarra and CCUN, 31008, Pamplona, Spain.
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4
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Quiroz-Figueroa K, Vitali C, Conlon DM, Millar JS, Tobias JW, Bauer RC, Hand NJ, Rader DJ. TRIB1 regulates LDL metabolism through CEBPα-mediated effects on the LDL receptor in hepatocytes. J Clin Invest 2021; 131:146775. [PMID: 34779419 DOI: 10.1172/jci146775] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 09/21/2021] [Indexed: 12/20/2022] Open
Abstract
Genetic variants near the TRIB1 gene are highly significantly associated with plasma lipid traits and coronary artery disease. While TRIB1 is likely causal of these associations, the molecular mechanisms are not well understood. Here we sought to investigate how TRIB1 influences low density lipoprotein cholesterol (LDL-C) levels in mice. Hepatocyte-specific deletion of Trib1 (Trib1Δhep) in mice increased plasma cholesterol and apoB and slowed the catabolism of LDL-apoB due to decreased levels of LDL receptor (LDLR) mRNA and protein. Simultaneous deletion of the transcription factor CCAAT/enhancer-binding protein alpha (CEBPα) with TRIB1 eliminated the effects of TRIB1 on hepatic LDLR regulation and LDL catabolism. Using RNA-seq, we found that activating transcription factor 3 (Atf3) was highly upregulated in the livers of Trib1Δhep but not Trib1Δhep CebpaΔhep mice. ATF3 has been shown to directly bind to the CEBPα protein, and to repress the expression of LDLR by binding its promoter. Blunting the increase of ATF3 in Trib1Δhep mice reduced the levels of plasma cholesterol and partially attenuated the effects on LDLR. Based on these data, we conclude that deletion of Trib1 leads to a posttranslational increase in CEBPα, which increases ATF3 levels, thereby contributing to the downregulation of LDLR and increased plasma LDL-C.
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Affiliation(s)
| | - Cecilia Vitali
- Division of Translational Medicine and Human Genetics, Department of Medicine
| | - Donna M Conlon
- Division of Translational Medicine and Human Genetics, Department of Medicine
| | - John S Millar
- Division of Translational Medicine and Human Genetics, Department of Medicine
| | | | - Robert C Bauer
- Division of Translational Medicine and Human Genetics, Department of Medicine
| | - Nicholas J Hand
- Department of Genetics.,Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daniel J Rader
- Division of Translational Medicine and Human Genetics, Department of Medicine.,Department of Genetics.,Department of Pediatrics, and.,Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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5
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Zhang X, Zhang B, Zhang C, Sun G, Sun X. Current Progress in Delineating the Roles of Pseudokinase TRIB1 in Controlling Human Diseases. J Cancer 2021; 12:6012-6020. [PMID: 34539875 PMCID: PMC8425202 DOI: 10.7150/jca.51627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 08/10/2021] [Indexed: 12/15/2022] Open
Abstract
Tribbles homolog 1 (TRIB1) is a member of the tribbles family of pseudoprotein kinases and is widely expressed in numerous tissues, such as bone marrow, skeletal muscle, liver, heart, and adipose tissue. It is closely associated with acute myeloid leukemia, prostate cancer, and tumor drug resistance, and can interfere with the hematopoietic stem cell cycle, promote tumor cell proliferation, and inhibit apoptosis. Recent studies have shown that TRIB1 can regulate acute and chronic inflammation by affecting the secretion of inflammatory factors, which is closely related to the occurrence of hyperlipidemia and cardiovascular diseases. Given the important biological functions of TRIB1, the reviews published till now are not sufficiently comprehensive. Therefore, this paper reviews the progress in TRIB1 research aimed at exploring its roles in cancer, hyperlipidemia, and cardiovascular disease, and providing a theoretical basis for further studies on the biological roles of TRIB1.
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Affiliation(s)
- Xuelian Zhang
- Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China.,Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China.,Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Beijing 100193, China.,Key Laboratory of efficacy evaluation of Chinese Medicine against Glyeolipid Metabolism Disorder Disease, State Administration of Traditional Chinese Medicine, Beijing 100193, China
| | - Bin Zhang
- Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China.,Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China.,Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Beijing 100193, China.,Key Laboratory of efficacy evaluation of Chinese Medicine against Glyeolipid Metabolism Disorder Disease, State Administration of Traditional Chinese Medicine, Beijing 100193, China
| | - Chenyang Zhang
- Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China.,Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China.,Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Beijing 100193, China.,Key Laboratory of efficacy evaluation of Chinese Medicine against Glyeolipid Metabolism Disorder Disease, State Administration of Traditional Chinese Medicine, Beijing 100193, China
| | - Guibo Sun
- Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China.,Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China.,Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Beijing 100193, China.,Key Laboratory of efficacy evaluation of Chinese Medicine against Glyeolipid Metabolism Disorder Disease, State Administration of Traditional Chinese Medicine, Beijing 100193, China
| | - Xiaobo Sun
- Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100193, China.,Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing 100193, China.,Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Beijing 100193, China.,Key Laboratory of efficacy evaluation of Chinese Medicine against Glyeolipid Metabolism Disorder Disease, State Administration of Traditional Chinese Medicine, Beijing 100193, China
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6
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McMillan HD, Keeshan K, Dunbier AK, Mace PD. Structure vs. Function of TRIB1-Myeloid Neoplasms and Beyond. Cancers (Basel) 2021; 13:3060. [PMID: 34205360 PMCID: PMC8235551 DOI: 10.3390/cancers13123060] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/31/2022] Open
Abstract
The Tribbles family of proteins-comprising TRIB1, TRIB2, TRIB3 and more distantly related STK40-play important, but distinct, roles in differentiation, development and oncogenesis. Of the four Tribbles proteins, TRIB1 has been most well characterised structurally and plays roles in diverse cancer types. The most well-understood role of TRIB1 is in acute myeloid leukaemia, where it can regulate C/EBP transcription factors and kinase pathways. Structure-function studies have uncovered conformational switching of TRIB1 from an inactive to an active state when it binds to C/EBPα. This conformational switching is centred on the active site of TRIB1, which appears to be accessible to small-molecule inhibitors in spite of its inability to bind ATP. Beyond myeloid neoplasms, TRIB1 plays diverse roles in signalling pathways with well-established roles in tumour progression. Thus, TRIB1 can affect both development and chemoresistance in leukaemia; glioma; and breast, lung and prostate cancers. The pervasive roles of TRIB1 and other Tribbles proteins across breast, prostate, lung and other cancer types, combined with small-molecule susceptibility shown by mechanistic studies, suggests an exciting potential for Tribbles as direct targets of small molecules or biomarkers to predict treatment response.
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Affiliation(s)
- Hamish D McMillan
- Biochemistry Department, School of Biomedical Sciences, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand; (H.D.M.); (A.K.D.)
| | - Karen Keeshan
- Paul O’Gorman Leukaemia Research Centre, Institute of Cancer Sciences, University of Glasgow, Scotland G12 0YN, UK;
| | - Anita K Dunbier
- Biochemistry Department, School of Biomedical Sciences, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand; (H.D.M.); (A.K.D.)
| | - Peter D Mace
- Biochemistry Department, School of Biomedical Sciences, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand; (H.D.M.); (A.K.D.)
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7
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Mickevicius T, Vilkeviciute A, Glebauskiene B, Kriauciuniene L, Liutkeviciene R. Do TRIB1 and IL-9 Gene Polymorphisms Impact the Development and Manifestation of Pituitary Adenoma? In Vivo 2021; 34:2499-2505. [PMID: 32871778 DOI: 10.21873/invivo.12066] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 05/29/2020] [Accepted: 05/31/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND/AIM To evaluate the association between TRIB1(rs6987702) and IL-9(rs1859430, rs2069870) genotypes with the development and manifestation of pituitary adenoma (PA). MATERIALS AND METHODS The study group included 141 patients with PA and the control group consisted of 287 healthy people. The genotyping of rs6987702, rs1859430 and rs2069870 was carried out using a real-time polymerase chain reaction. RESULTS Statistically significant results were obtained regarding the rs1859430, but there were no significant results regarding rs6987702. We found that the rs1859430 A/A genotype increased the odds of having recurrent PA six times (p=0.006) under the co-dominant model and four times (p=0.021) under the recessive model. Furthermore, the analysis showed that the G/A genotype increased the odds of having recurrent PA 2.3 times (p=0.003) under the co-dominant model, while G/A and A/A genotypes increased the odds 2.7 times (p=0.011) under the over-dominant model. CONCLUSION Certain genotypes of rs1859430 can be associated with PA recurrence.
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Affiliation(s)
- Tomas Mickevicius
- Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Alvita Vilkeviciute
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Brigita Glebauskiene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Loresa Kriauciuniene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Rasa Liutkeviciene
- Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
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8
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Trib1 promotes acute myeloid leukemia progression by modulating the transcriptional programs of Hoxa9. Blood 2021; 137:75-88. [PMID: 32730594 DOI: 10.1182/blood.2019004586] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 07/13/2020] [Indexed: 12/13/2022] Open
Abstract
The pseudokinase Trib1 functions as a myeloid oncogene that recruits the E3 ubiquitin ligase COP1 to C/EBPα and interacts with MEK1 to enhance extracellular signal-regulated kinase (ERK) phosphorylation. A close genetic effect of Trib1 on Hoxa9 has been observed in myeloid leukemogenesis, where Trib1 overexpression significantly accelerates Hoxa9-induced leukemia onset. However, the mechanism underlying how Trib1 functionally modulates Hoxa9 transcription activity is unclear. Herein, we provide evidence that Trib1 modulates Hoxa9-associated super-enhancers. Chromatin immunoprecipitation sequencing analysis identified increased histone H3K27Ac signals at super-enhancers of the Erg, Spns2, Rgl1, and Pik3cd loci, as well as increased messenger RNA expression of these genes. Modification of super-enhancer activity was mostly achieved via the degradation of C/EBPα p42 by Trib1, with a slight contribution from the MEK/ERK pathway. Silencing of Erg abrogated the growth advantage acquired by Trib1 overexpression, indicating that Erg is a critical downstream target of the Trib1/Hoxa9 axis. Moreover, treatment of acute myeloid leukemia (AML) cells with the BRD4 inhibitor JQ1 showed growth inhibition in a Trib1/Erg-dependent manner both in vitro and in vivo. Upregulation of ERG by TRIB1 was also observed in human AML cell lines, suggesting that Trib1 is a potential therapeutic target of Hoxa9-associated AML. Taken together, our study demonstrates a novel mechanism by which Trib1 modulates chromatin and Hoxa9-driven transcription in myeloid leukemogenesis.
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9
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Warma A, Ndiaye K. Functional effects of Tribbles homolog 2 in bovine ovarian granulosa cells†. Biol Reprod 2020; 102:1177-1190. [PMID: 32159216 DOI: 10.1093/biolre/ioaa030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 12/12/2019] [Accepted: 03/07/2020] [Indexed: 12/19/2022] Open
Abstract
Tribbles homologs (TRIB) 1, 2, and 3 represent atypical members of the serine/threonine kinase superfamily. We previously identified TRIB2 as a differentially expressed gene in granulosa cells (GCs) of bovine preovulatory follicles. The current study aimed to further investigate TRIB2 regulation and study its function in the ovary. GCs were collected from follicles at different developmental stages: small antral follicles (SF), dominant follicles (DF) at day 5 of the estrous cycle, and hCG-induced ovulatory follicles (OFs). RT-qPCR analyses showed greater expression of TRIB2 in GC of DF as compared to OF and a significant downregulation of TRIB2 steady-state mRNA amounts by hCG/LH, starting at 6 h through 24 h post-hCG as compared to 0 h. Specific anti-TRIB2 polyclonal antibodies were generated and western blot analysis confirmed TRIB2 downregulation by hCG at the protein level. In vitro studies showed that FSH stimulates TRIB2 expression in GC. Inhibition of TRIB2 using CRISPR/Cas9 resulted in a significant increase in PCNA expression and an increase in steroidogenic enzyme CYP19A1 expression, while TRIB2 overexpression tended to decrease GC proliferation. TRIB2 inhibition also resulted in a decrease in transcription factors connective tissue growth factor (CTGF) and ankyrin repeat domain-containing protein 1 (ANKRD1) expression, while TRIB2 overexpression increased CTGF and ANKRD1. Additionally, western blot analyses showed reduction in ERK1/2 (MAPK3/1) and p38MAPK (MAPK14) phosphorylation levels following TRIB2 inhibition, while TRIB2 overexpression increased p-ERK1/2 and p-p38MAPK. These results provide evidence that TRIB2 modulates MAPK signaling in GC and that TRIB2 could act as a regulator of GC proliferation and function, which could affect steroidogenesis during follicular development.
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Affiliation(s)
- Aly Warma
- Département de Biomédecine Vétérinaire, Faculté de Médecine Vétérinaire, Centre de Recherche en Reproduction et Fertilité (CRRF), Université de Montréal, St-Hyacinthe, Québec, Canada
| | - Kalidou Ndiaye
- Département de Biomédecine Vétérinaire, Faculté de Médecine Vétérinaire, Centre de Recherche en Reproduction et Fertilité (CRRF), Université de Montréal, St-Hyacinthe, Québec, Canada
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10
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Chen H, Li M, Sanchez E, Soof CM, Bujarski S, Ng N, Cao J, Hekmati T, Zahab B, Nosrati JD, Wen M, Wang CS, Tang G, Xu N, Spektor TM, Berenson JR. JAK1/2 pathway inhibition suppresses M2 polarization and overcomes resistance of myeloma to lenalidomide by reducing TRIB1, MUC1, CD44, CXCL12, and CXCR4 expression. Br J Haematol 2019; 188:283-294. [PMID: 31423579 DOI: 10.1111/bjh.16158] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 06/24/2019] [Indexed: 12/16/2022]
Abstract
Monocytes polarize into pro-inflammatory macrophage-1 (M1) or alternative macrophage-2 (M2) states with distinct phenotypes and physiological functions. M2 cells promote tumour growth and metastasis whereas M1 macrophages show anti-tumour effects. We found that M2 cells were increased whereas M1 cells were decreased in bone marrow (BM) from multiple myeloma (MM) patients with progressive disease (PD) compared to those in complete remission (CR). Gene expression of Tribbles homolog 1 (TRIB1) protein kinase, an inducer of M2 polarization, was increased in BM from MM patients with PD compared to those in CR. Ruxolitinib (RUX) is an inhibitor of the Janus kinase family of protein tyrosine kinases (JAKs) and is effective for treating patients with myeloproliferative disorders. RUX markedly reduces both M2 polarization and TRIB1 gene expression in MM both in vitro and in vivo in human MM xenografts in severe combined immunodeficient mice. RUX also downregulates the expression of CXCL12, CXCR4, MUC1, and CD44 in MM cells and monocytes co-cultured with MM tumour cells; overexpression of these genes is associated with resistance of MM cells to the immunomodulatory agent lenalidomide. These results provide the rationale for evaluation of JAK inhibitors, including MM BM in combination with lenalidomide, for the treatment of MM patients.
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Affiliation(s)
- Haiming Chen
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Mingjie Li
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Eric Sanchez
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Camilia M Soof
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Sean Bujarski
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Nicole Ng
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Jasmin Cao
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Tara Hekmati
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Brian Zahab
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Jason D Nosrati
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Mingxiang Wen
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Cathy S Wang
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - George Tang
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | - Ning Xu
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
| | | | - James R Berenson
- Institute for Myeloma & Bone Cancer Research, West Hollywood, CA, USA
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11
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Trib1 regulates eosinophil lineage commitment and identity by restraining the neutrophil program. Blood 2019; 133:2413-2426. [PMID: 30917956 DOI: 10.1182/blood.2018872218] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 03/26/2019] [Indexed: 12/14/2022] Open
Abstract
Eosinophils and neutrophils are critical for host defense, yet gaps in understanding how granulocytes differentiate from hematopoietic stem cells (HSCs) into mature effectors remain. The pseudokinase tribbles homolog 1 (Trib1) is an important regulator of granulocytes; knockout mice lack eosinophils and have increased neutrophils. However, how Trib1 regulates cellular identity and function during eosinophilopoiesis is not understood. Trib1 expression markedly increases with eosinophil-lineage commitment in eosinophil progenitors (EoPs), downstream of the granulocyte/macrophage progenitor (GMP). Using hematopoietic- and eosinophil-lineage-specific Trib1 deletion, we found that Trib1 regulates both granulocyte precursor lineage commitment and mature eosinophil identity. Conditional Trib1 deletion in HSCs reduced the size of the EoP pool and increased neutrophils, whereas deletion following eosinophil lineage commitment blunted the decrease in EoPs without increasing neutrophils. In both modes of deletion, Trib1-deficient mice expanded a stable population of Ly6G+ eosinophils with neutrophilic characteristics and functions, and had increased CCAAT/enhancer binding protein α (C/EBPα) p42. Using an ex vivo differentiation assay, we found that interleukin 5 (IL-5) supports the generation of Ly6G+ eosinophils from Trib1-deficient cells, but is not sufficient to restore normal eosinophil differentiation and development. Furthermore, we demonstrated that Trib1 loss blunted eosinophil migration and altered chemokine receptor expression, both in vivo and ex vivo. Finally, we showed that Trib1 controls eosinophil identity by modulating C/EBPα. Together, our findings provide new insights into early events in myelopoiesis, whereby Trib1 functions at 2 distinct stages to guide eosinophil lineage commitment from the GMP and suppress the neutrophil program, promoting eosinophil terminal identity and maintaining lineage fidelity.
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12
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Liu ZZ, Han ZD, Liang YK, Chen JX, Wan S, Zhuo YJ, Cai ZD, Deng YL, Lin ZY, Mo RJ, He HC, Zhong WD. TRIB1 induces macrophages to M2 phenotype by inhibiting IKB-zeta in prostate cancer. Cell Signal 2019; 59:152-162. [PMID: 30926388 DOI: 10.1016/j.cellsig.2019.03.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 03/18/2019] [Accepted: 03/19/2019] [Indexed: 11/27/2022]
Abstract
Immunotherapy has made great breakthroughs in the field of cancer. However, the immunotherapeutic effect of prostate cancer is unsatisfactory. We found that the expression of TRIB1 was significantly correlated with the infiltration of CD163+ macrophages in prostate cancer. This study focused on the effects of TRIB1 on macrophage polarization in the immune microenvironment of prostate cancer. RNA sequencing analysis demonstrated that TRIB1 has significant effects on the regulation of the nuclear factor (NF)-κB signaling pathway and downstream cytokines. Flow cytometry and enzyme-linked immunosorbent assay were used to examine THP-1 cells cultured in conditioned medium from prostate cancer cells overexpressing TRIB1 and showed that overexpression of TRIB1 promoted the secretion of CXCL2 and interleukin (IL)8 by PC3 cells, which increased the secretion of IL12 by THP-1 cells as well as the expression of CD163 on THP-1 cells. IKB-zeta, regulated by TRIB1, was expressed in PC3 cells but was barely detectable in DU145 cells. The reductions in CXCL2 and IL8 by the inhibition of TRIB1 were rescued by the deletion of IKB-zeta. Here we showed that TRIB1 promoted the secretion of cytokines from prostate cancer cells and induced the differentiation of monocytes/macrophages into M2 macrophages.
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Affiliation(s)
- Ze-Zhen Liu
- Department of Urology, Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China; Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China; Guangdong Provincial Institute of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Zhao-Dong Han
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Ying-Ke Liang
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Jun-Xu Chen
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Song Wan
- Department of Urology, Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China
| | - Yang-Jia Zhuo
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Zhi-Duan Cai
- Department of Urology, Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China; Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Yu-Lin Deng
- Department of Urology, Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China; Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Zhuo-Yuan Lin
- Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510260, China
| | - Ru-Jun Mo
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China
| | - Hui-Chan He
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510230, China
| | - Wei-De Zhong
- Department of Urology, Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China; Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China; Guangdong Provincial Institute of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
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13
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Xie XP, Xie YF, Liu YT, Wang HQ. Adaptively capturing the heterogeneity of expression for cancer biomarker identification. BMC Bioinformatics 2018; 19:401. [PMID: 30390627 PMCID: PMC6215657 DOI: 10.1186/s12859-018-2437-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 10/15/2018] [Indexed: 11/25/2022] Open
Abstract
Background Identifying cancer biomarkers from transcriptomics data is of importance to cancer research. However, transcriptomics data are often complex and heterogeneous, which complicates the identification of cancer biomarkers in practice. Currently, the heterogeneity still remains a challenge for detecting subtle but consistent changes of gene expression in cancer cells. Results In this paper, we propose to adaptively capture the heterogeneity of expression across samples in a gene regulation space instead of in a gene expression space. Specifically, we transform gene expression profiles into gene regulation profiles and mathematically formulate gene regulation probabilities (GRPs)-based statistics for characterizing differential expression of genes between tumor and normal tissues. Finally, an unbiased estimator (aGRP) of GRPs is devised that can interrogate and adaptively capture the heterogeneity of gene expression. We also derived an asymptotical significance analysis procedure for the new statistic. Since no parameter needs to be preset, aGRP is easy and friendly to use for researchers without computer programming background. We evaluated the proposed method on both simulated data and real-world data and compared with previous methods. Experimental results demonstrated the superior performance of the proposed method in exploring the heterogeneity of expression for capturing subtle but consistent alterations of gene expression in cancer. Conclusions Expression heterogeneity largely influences the performance of cancer biomarker identification from transcriptomics data. Models are needed that efficiently deal with the expression heterogeneity. The proposed method can be a standalone tool due to its capacity of adaptively capturing the sample heterogeneity and the simplicity in use. Software availability The source code of aGRP can be downloaded from https://github.com/hqwang126/aGRP. Electronic supplementary material The online version of this article (10.1186/s12859-018-2437-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xin-Ping Xie
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230022, Anhui, China
| | - Yu-Feng Xie
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230022, Anhui, China.,Institute of Intelligent Machines, Hefei Institutes of Physical Science, CAS, 350 Shushanhu Road, P.O.Box 1130, Hefei, 230031, Anhui, China.,Present Address: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710100, China
| | - Yi-Tong Liu
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, 230022, Anhui, China.,Institute of Intelligent Machines, Hefei Institutes of Physical Science, CAS, 350 Shushanhu Road, P.O.Box 1130, Hefei, 230031, Anhui, China
| | - Hong-Qiang Wang
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, CAS, 350 Shushanhu Road, P.O.Box 1130, Hefei, 230031, Anhui, China.
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14
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Yu T. Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach. Stat Anal Data Min 2018; 11:188-197. [DOI: 10.1002/sam.11381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Tianwei Yu
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health; Emory University; Atlanta Georgia
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15
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Eyers PA, Keeshan K, Kannan N. Tribbles in the 21st Century: The Evolving Roles of Tribbles Pseudokinases in Biology and Disease. Trends Cell Biol 2016; 27:284-298. [PMID: 27908682 PMCID: PMC5382568 DOI: 10.1016/j.tcb.2016.11.002] [Citation(s) in RCA: 160] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 11/01/2016] [Accepted: 11/03/2016] [Indexed: 11/26/2022]
Abstract
The Tribbles (TRIB) pseudokinases control multiple aspects of eukaryotic cell biology and evolved unique features distinguishing them from all other protein kinases. The atypical pseudokinase domain retains a regulated binding platform for substrates, which are ubiquitinated by context-specific E3 ligases. This plastic configuration has also been exploited as a scaffold to support the modulation of canonical MAPK and AKT modules. In this review, we discuss the evolution of TRIBs and their roles in vertebrate cell biology. TRIB2 is the most ancestral member of the family, whereas the emergence of TRIB3 homologs in mammals supports additional biological roles, many of which are currently being dissected. Given their pleiotropic role in diseases, the unusual TRIB pseudokinase conformation provides a highly attractive opportunity for drug design. Pseudoenzymes are inactive counterparts of classical enzymes and have evolved in all kingdoms of life, where they regulate a vast array of biological processes. The pseudokinases are one of the best-studied families of human pseudoenzymes. Eukaryotic TRIB pseudokinases evolved from a common ancestor (the human TRIB2 homolog), and contain a highly atypical pseudokinase domain fused to a unique docking site in an extended C tail that binds to ubiquitin E3 ligases. TRIB evolution has led to the appearance of three mammalian TRIB pseudokinases, termed TRIB1, TRIB2, and TRIB3, which contain both unique and shared features. In cells, TRIB pseudokinases act as modulators of substrate ubiquitination and as molecular scaffolds for the assembly and regulation of signaling modules, including the C/EBPα transcription factor and AKT and ERK networks. TRIB1 and TRIB2 have potent oncogenic activities in vertebrate cells, and recent evidence also suggests that TRIB2 acts as a tumour suppressor, consistent with the requirement for balanced TRIB signaling in the regulation of transcription, differentiation, proliferation, and apoptosis.
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Affiliation(s)
- Patrick A Eyers
- Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
| | - Karen Keeshan
- Paul O'Gorman Leukemia Research Centre, Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 0YN, UK.
| | - Natarajan Kannan
- Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA.
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