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Utsumi T, Tsumura M, Yashiro M, Kato Z, Noma K, Sakura F, Kagawa R, Mizoguchi Y, Karakawa S, Ohnishi H, Cunningham-Rundles C, Arkwright PD, Kobayashi M, Kanegane H, Bogunovic D, Boisson B, Casanova JL, Asano T, Okada S. Exclusive Characteristics of the p.E555K Dominant-Negative Variant in Autosomal Dominant E47 Deficiency. J Clin Immunol 2024; 44:167. [PMID: 39073655 PMCID: PMC11286708 DOI: 10.1007/s10875-024-01758-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 06/21/2024] [Indexed: 07/30/2024]
Abstract
PURPOSE Transcription factor 3 (TCF3) encodes 2 transcription factors generated by alternative splicing, E12 and E47, which contribute to early lymphocyte differentiation. In humans, autosomal dominant (AD) E47 transcription factor deficiency is an inborn error of immunity characterized by B-cell deficiency and agammaglobulinemia. Only the recurrent de novo p.E555K pathogenic variant has been associated with this disease and acts via a dominant-negative (DN) mechanism. In this study, we describe the first Asian patient with agammaglobulinemia caused by the TCF3 p.E555K variant and provide insights into the structure and function of this variant. METHODS TCF3 variant was identified by inborn errors of immunity-related gene panel sequencing. The variant E555K was characterized by alanine scanning of the E47 basic region and comprehensive mutational analysis focused on position 555. RESULTS The patient was a 25-year-old male with B-cell deficiency, agammaglobulinemia, and mild facial dysmorphic features. We confirmed the diagnosis of AD E47 transcription factor deficiency by identifying a heterozygous missense variant, c.1663 G>A; p.E555K, in TCF3. Alanine scanning of the E47 basic region revealed the structural importance of position 555. Comprehensive mutational analysis focused on position 555 showed that only the glutamate-to-lysine substitution had a strong DN effect. 3D modeling demonstrated that this variant not only abolished hydrogen bonds involved in protein‒DNA interactions, but also inverted the charge on the surface of the E47 protein. CONCLUSIONS Our study reveals the causative mutation hotspot in the TCF3 DN variant and highlights the weak negative selection associated with the TCF3 gene.
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Affiliation(s)
- Takanori Utsumi
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Miyuki Tsumura
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masato Yashiro
- Department of Pediatrics, Okayama University Hospital, Okayama, Japan
| | - Zenichiro Kato
- Department of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan
- Structural Medicine, United Graduate School of Drug Discovery and Medical Information Science, Gifu University, Gifu, Japan
| | - Kosuke Noma
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Fumiaki Sakura
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Department of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan
| | - Reiko Kagawa
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoko Mizoguchi
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Shuhei Karakawa
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hidenori Ohnishi
- Department of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Charlotte Cunningham-Rundles
- Division of Allergy and Clinical Immunology, Departments of Medicine and Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter D Arkwright
- Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Masao Kobayashi
- Japanese Red Cross Chugoku-Shikoku Block Blood Center, Hiroshima, Japan
| | - Hirokazu Kanegane
- Department of Child Health and Development, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Dusan Bogunovic
- Center for Inborn Errors of Immunity, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bertrand Boisson
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Descartes University, Imagine Institute, Paris, France
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Descartes University, Imagine Institute, Paris, France
- Pediatric Hematology-Immunology Unit, Necker Hospital for Sick Children, AP-HP, Paris, France
- Howard Hughes Medical Institute (HHMI), New York, NY, USA
| | - Takaki Asano
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
- Department of Genetics and Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.
| | - Satoshi Okada
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
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Galli M, Chen Z, Ghandour T, Chaudhry A, Gregory J, Li M, Zhang X, Dong Y, Song G, Walley JW, Chuck G, Whipple C, Kaeppler HF, Huang SSC, Gallavotti A. Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.31.596834. [PMID: 38895211 PMCID: PMC11185568 DOI: 10.1101/2024.05.31.596834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Regulatory elements are important constituents of plant genomes that have shaped ancient and modern crops. Their identification, function, and diversity in crop genomes however are poorly characterized, thus limiting our ability to harness their power for further agricultural advances using induced or natural variation. Here, we use DNA affinity purification-sequencing (DAP-seq) to map transcription factor (TF) binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production, providing empirical binding site annotation for 5.3% of the maize genome. TF binding site comparison in B73 and Mo17 inbreds reveals widespread differences, driven largely by structural variation, that correlate with gene expression changes. TF binding site presence-absence variation helps clarify complex QTL such as vgt1, an important determinant of maize flowering time, and DICE, a distal enhancer involved in herbivore resistance. Modification of TF binding regions via CRISPR-Cas9 mediated editing alters target gene expression and phenotype. Our functional catalog of maize TF binding events enables collective and comparative TF binding analysis, and highlights its value for agricultural improvement.
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Affiliation(s)
- Mary Galli
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Zongliang Chen
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Tara Ghandour
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Amina Chaudhry
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Jason Gregory
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Miaomiao Li
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Xuan Zhang
- Department of Genetics, University of Georgia, Athens, GA, USA
| | - Yinxin Dong
- Department of Genetics, University of Georgia, Athens, GA, USA
| | - Gaoyuan Song
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011
| | - Justin W. Walley
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011
| | - George Chuck
- Plant Gene Expression Center, Albany, CA 94710, USA
| | - Clinton Whipple
- Department of Biology, Brigham Young University, 4102 LSB, Provo, UT 84602, USA
| | - Heidi F. Kaeppler
- Department of Agronomy, University of Wisconsin, Madison, WI, USA
- Wisconsin Crop Innovation Center, University of Wisconsin, Middleton, WI, USA
| | - Shao-shan Carol Huang
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Andrea Gallavotti
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
- Department of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA
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Gao F, Dubos C. The arabidopsis bHLH transcription factor family. TRENDS IN PLANT SCIENCE 2024; 29:668-680. [PMID: 38143207 DOI: 10.1016/j.tplants.2023.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 12/26/2023]
Abstract
Basic helix-loop-helices (bHLHs) are present in all eukaryotes and form one of the largest families of transcription factors (TFs) found in plants. bHLHs function as transcriptional activators and/or repressors of genes involved in key processes involved in plant growth and development in interaction with the environment (e.g., stomata and root hair development, iron homeostasis, and response to heat and shade). Recent studies have improved our understanding of the functioning of bHLH TFs in complex regulatory networks where a series of post-translational modifications (PTMs) have critical roles in regulating their subcellular localization, DNA-binding capacity, transcriptional activity, and/or stability (e.g., protein-protein interactions, phosphorylation, ubiquitination, and sumoylation). Further elucidating the function and regulation of bHLHs will help further understanding of the biology of plants in general and for the development of new tools for crop improvement.
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Affiliation(s)
- Fei Gao
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China.
| | - Christian Dubos
- IPSiM, University of Montpellier, CNRS, INRAE, Institut Agro, Montpellier, France.
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Qin X, Li Y, Li C, Li X, Wu Y, Wu Q, Wen H, Jiang D, Liu S, Nan W, Liang Y, Zhang H. A Rapid and Simplified Method to Isolate Specific Regulators Based on Biotin-Avidin Binding Affinities in Crops. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:883-893. [PMID: 38118073 DOI: 10.1021/acs.jafc.3c05638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Transcription factors (TFs) are indispensable components of transcriptional regulatory pathways involved in crop growth and development. Herein, we developed a new method for the identification of upstream TFs specific to genes in crops based on the binding affinities of biotin and avidin. First, we constructed and verified the new biotin and avidin system (BAS) by a coprecipitation assay. Subsequently, the feasibility of DNA-based BAS (DBAS) was further proved by in vivo and in vitro assays. Furthermore, we cloned the promoter of rice OsNRT1.1B and the possible regulators were screened and identified. Additionally, partial candidates were validated by the electrophoresis mobility shift assay (EMSA), yeast one-hybrid, and luciferase activity assays. Remarkably, the results showed that the candidates PIP3 and PIP19 both responded to nitrate immediately and overexpression of PIP3 caused retard growth, which indicates that the candidates are functional and the new DBAS method is useful to isolate regulators in crops.
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Affiliation(s)
- Xiaojian Qin
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Yuntong Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Cuiping Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Xiaowei Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Yuanyuan Wu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Qian Wu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Huan Wen
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Dan Jiang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Shifeng Liu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
| | - Wenbin Nan
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Yongshu Liang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
| | - Hanma Zhang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
- Key Laboratory of Molecular Biology of Plants Environmental Adaptations, Chongqing Normal University, Chongqing 401331, China
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Mukherjee S, Sarkar AK, Lahiri A, Sengupta Bandyopadhyay S. Analysis of the interaction of a non-canonical twin half-site of Cyclic AMP-Response Element (CRE) with CRE-binding protein. Biochimie 2023; 211:25-34. [PMID: 36842626 DOI: 10.1016/j.biochi.2023.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/23/2022] [Accepted: 02/17/2023] [Indexed: 02/26/2023]
Abstract
Differential regulation of a gene having either canonical or non-canonical cyclic AMP response element (CRE) in its promoter is primarily accomplished by its interactions with CREB (cAMP-response element binding protein). The present study aims to delineate the mechanism of the CREB-CRE interactions at the Oncostatin-M (osm) promoter by in vitro and in silico approaches. The non-canonical CREosm consists of two half-CREs separated by a short intervening sequence of 9 base pairs. In this study, in vitro binding assays revealed that out of the two CRE half-sites, the right half-CRE was indispensable for binding of CREB, while the left sequence showed weaker binding ability and specificity. Genome-wide modeling and high throughput free energy calculations for the energy-minimized models containing CREB-CREosm revealed that there was no difference in the binding of CREB to the right half of CREosm site when compared to the entire CREosm. These results were in accordance with the in vitro studies, confirming the indispensable role of the right half-CREosm site in stable complex formation with the CREB protein. Additionally, conversion of the right half-CREosm site to a canonical CRE palindrome showed stronger CREB binding, irrespective of the presence or absence of the left CRE sequence. Thus, the present study establishes an interesting insight into the interaction of CREB with a CRE variant located at the far end of a TATA-less promoter of a cytokine-encoding gene, which in turn could be involved in the regulation of transcription under specific conditions.
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Affiliation(s)
- Srimoyee Mukherjee
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India
| | - Aditya Kumar Sarkar
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India
| | - Ansuman Lahiri
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India
| | - Sumita Sengupta Bandyopadhyay
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 A.P.C. Road, Kolkata, 700009, India.
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Luan Y, Tang Z, He Y, Xie Z. Intra-Domain Residue Coevolution in Transcription Factors Contributes to DNA Binding Specificity. Microbiol Spectr 2023; 11:e0365122. [PMID: 36943132 PMCID: PMC10100741 DOI: 10.1128/spectrum.03651-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 02/22/2023] [Indexed: 03/23/2023] Open
Abstract
Understanding the basis of the DNA-binding specificity of transcription factors (TFs) has been of long-standing interest. Despite extensive efforts to map millions of putative TF binding sequences, identifying the critical determinants for DNA binding specificity remains a major challenge. The coevolution of residues in proteins occurs due to a shared evolutionary history. However, it is unclear how coevolving residues in TFs contribute to DNA binding specificity. Here, we systematically collected publicly available data sets from multiple large-scale high-throughput TF-DNA interaction screening experiments for the major TF families with large numbers of TF members. These families included the Homeobox, HLH, bZIP_1, Ets, HMG_box, ZF-C4, and Zn_clus TFs. We detected TF subclass-determining sites (TSDSs) and showed that the TSDSs were more likely to coevolve with other TSDSs than with non-TSDSs, particularly for the Homeobox, HLH, Ets, bZIP_1, and HMG_box TF families. By in silico modeling, we showed that mutation of the highly coevolving residues could significantly reduce the stability of the TF-DNA complex. The distant residues from the DNA interface also contributed to TF-DNA binding activity. Overall, our study gave evidence that coevolved residues relate to transcriptional regulation and provided insights into the potential application of engineered DNA-binding domains and proteins. IMPORTANCE While unraveling DNA-binding specificity of TFs is the key to understanding the basis and molecular mechanism of gene expression regulation, identifying the critical determinants that contribute to DNA binding specificity remains a major challenge. In this study, we provided evidence showing that coevolving residues in TF domains contributed to DNA binding specificity. We demonstrated that the TSDSs were more likely to coevolve with other TSDSs than with non-TSDSs. Mutation of the coevolving residue pairs (CRPs) could significantly reduce the stability of THE TF-DNA complex, and even the distant residues from the DNA interface contribute to TF-DNA binding activity. Collectively, our study expands our knowledge of the interactions among coevolved residues in TFs, tertiary contacting, and functional importance in refined transcriptional regulation. Understanding the impact of coevolving residues in TFs will help understand the details of transcription of gene regulation and advance the application of engineered DNA-binding domains and protein.
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Affiliation(s)
- Yizhao Luan
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Zehua Tang
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yao He
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Zhi Xie
- State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
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7
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Ge Y, Chen X, Nan N, Bard J, Wu F, Yergeau D, Liu T, Wang J, Mu X. Key transcription factors influence the epigenetic landscape to regulate retinal cell differentiation. Nucleic Acids Res 2023; 51:2151-2176. [PMID: 36715342 PMCID: PMC10018358 DOI: 10.1093/nar/gkad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 01/05/2023] [Accepted: 01/09/2023] [Indexed: 01/31/2023] Open
Abstract
How the diverse neural cell types emerge from multipotent neural progenitor cells during central nervous system development remains poorly understood. Recent scRNA-seq studies have delineated the developmental trajectories of individual neural cell types in many neural systems including the neural retina. Further understanding of the formation of neural cell diversity requires knowledge about how the epigenetic landscape shifts along individual cell lineages and how key transcription factors regulate these changes. In this study, we dissect the changes in the epigenetic landscape during early retinal cell differentiation by scATAC-seq and identify globally the enhancers, enriched motifs, and potential interacting transcription factors underlying the cell state/type specific gene expression in individual lineages. Using CUT&Tag, we further identify the enhancers bound directly by four key transcription factors, Otx2, Atoh7, Pou4f2 and Isl1, including those dependent on Atoh7, and uncover the sequential and combinatorial interactions of these factors with the epigenetic landscape to control gene expression along individual retinal cell lineages such as retinal ganglion cells (RGCs). Our results reveal a general paradigm in which transcription factors collaborate and compete to regulate the emergence of distinct retinal cell types such as RGCs from multipotent retinal progenitor cells (RPCs).
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Affiliation(s)
- Yichen Ge
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Xushen Chen
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Nan Nan
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Jonathan Bard
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA
| | - Fuguo Wu
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Donald Yergeau
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA
| | - Tao Liu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jie Wang
- Correspondence may also be addressed to Jie Wang.
| | - Xiuqian Mu
- To whom correspondence should be addressed. Tel: +1 716 881 7463; Fax: +1 716 887 2991;
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Wang Y, Xi Z, Wang X, Zhang Y, Liu Y, Yuan S, Zhao S, Sheng J, Meng D. Identification of bHLH family genes in Agaricus bisporus and transcriptional regulation of arginine catabolism-related genes by AbbHLH1 after harvest. Int J Biol Macromol 2023; 226:496-509. [PMID: 36521696 DOI: 10.1016/j.ijbiomac.2022.12.059] [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: 07/11/2022] [Revised: 11/23/2022] [Accepted: 12/04/2022] [Indexed: 12/14/2022]
Abstract
Basic helix-loop-helix (bHLH) transcription factors (TFs) are widely distributed in eukaryotes and play an important role in biological growth and development. The identification and functional analyses of bHLH genes/proteins in edible mushrooms (Agaricus bisporus) have yet to be reported. In the present study, we identified 10 putative bHLH members carrying the conserved bHLH domains. Phylogenetic analyses revealed that the 10 AbbHLHs were the closest to sequences of species belonging to 7 different fungal subgroups, which was supported by loop length, intron patterns, and key amino acid residues. The substantial increase after harvest and continuously elevated expression of AbbHLH1 during the development until the disruption of mushroom velum, and the preferential expression in cap and gill tissues suggest the important function of AbbHLH1 in postharvest development of A. bisporus. The relationship of arginine catabolism-related genes with the early stage of postharvest continuing development also was revealed by expression determination. Subcellular localization showed that AbbHLH1 could be localized in nucleus. Importantly, the electrophoretic mobility shift and dual-luciferase reporter assays showed that AbbHLH1 activated the promoters of AbOAT, AbSPDS, and AbSAMDC and suppressed the expression of AbARG, AbUREA, and AbODC, probably for the modulation of arginine catabolism and thus control of postharvest mushroom development. Taken together, the available data provide valuable functional insight into the role of AbbHLH proteins in postharvest mushrooms.
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Affiliation(s)
- Yating Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China
| | - Zhiai Xi
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China
| | - Xiuhong Wang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China
| | - Yuyu Zhang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing 100048, People's Republic of China
| | - Yongguo Liu
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University (BTBU), Beijing 100048, People's Republic of China
| | - Shuai Yuan
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China
| | - Shirui Zhao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China
| | - Jiping Sheng
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, People's Republic of China
| | - Demei Meng
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin 300457, People's Republic of China; Tianjin Gasin-DH Preservation Technology Co., Ltd, Tianjin 300300, People's Republic of China.
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Homologous basic helix–loop–helix transcription factors induce distinct deformations of torsionally-stressed DNA: a potential transcription regulation mechanism. QRB DISCOVERY 2022. [PMID: 37529292 PMCID: PMC10392670 DOI: 10.1017/qrd.2022.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Abstract
Changing torsional restraints on DNA is essential for the regulation of transcription. Torsional stress, introduced by RNA polymerase, can propagate along chromatin facilitating topological transitions and modulating the specific binding of transcription factors (TFs) to DNA. Despite the importance, the mechanistic details on how torsional stress impacts the TFs-DNA complexation remain scarce. Herein, we address the impact of torsional stress on DNA complexation with homologous human basic helix–loop–helix (BHLH) hetero- and homodimers: MycMax, MadMax and MaxMax. The three TF dimers exhibit specificity towards the same DNA consensus sequence, the E-box response element, while regulating different transcriptional pathways. Using microseconds-long atomistic molecular dynamics simulations together with the torsional restraint that controls DNA total helical twist, we gradually over- and underwind naked and complexed DNA to a maximum of ± 5°/bp step. We observe that the binding of the BHLH dimers results in a similar increase in DNA torsional rigidity. However, under torsional stress the BHLH dimers induce distinct DNA deformations, characterised by changes in DNA grooves geometry and a significant asymmetric DNA bending. Supported by bioinformatics analyses, our data suggest that torsional stress may contribute to the execution of differential transcriptional programs of the homologous TFs by modulating their collaborative interactions.
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Filippopoulou K, Couillault C, Bertrand V. Multiple neural bHLHs ensure the precision of a neuronal specification event in Caenorhabditis elegans. Biol Open 2021; 10:273578. [PMID: 34854469 PMCID: PMC8713986 DOI: 10.1242/bio.058976] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/22/2021] [Indexed: 11/24/2022] Open
Abstract
Neural bHLH transcription factors play a key role in the early steps of neuronal specification in many animals. We have previously observed that the Achaete-Scute HLH-3, the Olig HLH-16 and their binding partner the E-protein HLH-2 activate the terminal differentiation program of a specific class of cholinergic neurons, AIY, in Caenorhabditis elegans. Here we identify a role for a fourth bHLH, the Neurogenin NGN-1, in this process, raising the question of why so many neural bHLHs are required for a single neuronal specification event. Using quantitative imaging we show that the combined action of different bHLHs is needed to activate the correct level of expression of the terminal selector transcription factors TTX-3 and CEH-10 that subsequently initiate and maintain the expression of a large battery of terminal differentiation genes. Surprisingly, the different bHLHs have an antagonistic effect on another target, the proapoptotic BH3-only factor EGL-1, normally not expressed in AIY and otherwise detrimental for its specification. We propose that the use of multiple neural bHLHs allows robust neuronal specification while, at the same time, preventing spurious activation of deleterious genes. Summary: During neuronal specification, the combined action of several neural bHLHs ensures the robust activation of terminal selector transcription factor expression and prevents the activation of deleterious genes.
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Affiliation(s)
| | - Carole Couillault
- Aix Marseille Univ, CNRS, IBDM, Turing Center for Living Systems, Marseille 13009, France
| | - Vincent Bertrand
- Aix Marseille Univ, CNRS, IBDM, Turing Center for Living Systems, Marseille 13009, France
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11
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Chen J, Li G, Zhang H, Yuan Z, Li W, Peng Z, Shi M, Ding W, Zhang H, Cheng Y, Yao JL, Xu J. Primary Bitter Taste of Citrus is Linked to a Functional Allele of the 1,2-Rhamnosyltransferase Gene Originating from Citrus grandis. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:9869-9882. [PMID: 34410124 DOI: 10.1021/acs.jafc.1c01211] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
1,2-Rhamnosyltransferase (1,2RhaT) catalyzes the final step of production of flavanone neohesperidoside (FNH) that is responsible for the primary bitter taste of citrus fruits. In this study, species-specific flavonoid profiles were determined in 87 Citrus accessions by identifying eight main flavanone glycosides (FGs). Accumulation of FNHs was completely correlated to the presence of the 1,2RhaT gene in 87 citrus accessions analyzed using a novel 1,2RhaT-specific DNA marker. Pummelo (Citrus grandis) was identified as the genetic origin for a function allele of 1,2RhaT that underpinned FNH-bitterness in modern citrus cultivars. In addition, genes encoding six MYB and five bHLH transcription factors were shown to coexpress with 1,2RhaT and other flavonoid pathway genes related to FNH accumulation, indicating that these transcription factors may affect the fruit taste of citrus. This study provides a better understanding of bitterness formation in Citrus varieties and a genetic marker for the early selection of nonbitterness lines in citrus breeding programs.
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Affiliation(s)
- Jiajing Chen
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Gu Li
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Haipeng Zhang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Ziyu Yuan
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Wenyun Li
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Zhaoxin Peng
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Meiyan Shi
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Wenyu Ding
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Huixian Zhang
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Yunjiang Cheng
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Jia-Long Yao
- The New Zealand Institute for Plant & Food Research Limited, Private Bag 92169, Auckland 1142, New Zealand
| | - Juan Xu
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, P. R. China
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12
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Mechanisms of Binding Specificity among bHLH Transcription Factors. Int J Mol Sci 2021; 22:ijms22179150. [PMID: 34502060 PMCID: PMC8431614 DOI: 10.3390/ijms22179150] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/14/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022] Open
Abstract
The transcriptome of every cell is orchestrated by the complex network of interaction between transcription factors (TFs) and their binding sites on DNA. Disruption of this network can result in many forms of organism malfunction but also can be the substrate of positive natural selection. However, understanding the specific determinants of each of these individual TF-DNA interactions is a challenging task as it requires integrating the multiple possible mechanisms by which a given TF ends up interacting with a specific genomic region. These mechanisms include DNA motif preferences, which can be determined by nucleotide sequence but also by DNA’s shape; post-translational modifications of the TF, such as phosphorylation; and dimerization partners and co-factors, which can mediate multiple forms of direct or indirect cooperative binding. Binding can also be affected by epigenetic modifications of putative target regions, including DNA methylation and nucleosome occupancy. In this review, we describe how all these mechanisms have a role and crosstalk in one specific family of TFs, the basic helix-loop-helix (bHLH), with a very conserved DNA binding domain and a similar DNA preferred motif, the E-box. Here, we compile and discuss a rich catalog of strategies used by bHLH to acquire TF-specific genome-wide landscapes of binding sites.
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13
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Liu Y, Ma K, Qi Y, Lv G, Ren X, Liu Z, Ma F. Transcriptional Regulation of Anthocyanin Synthesis by MYB-bHLH-WDR Complexes in Kiwifruit ( Actinidia chinensis). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:3677-3691. [PMID: 33749265 DOI: 10.1021/acs.jafc.0c07037] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The anthocyanin synthetic pathway is regulated centrally by an MYB-bHLH-WD40 (MBW) complex. Anthocyanin pigmentation is an important fruit quality trait in red-fleshed kiwifruit; however, the underlying regulatory mechanisms involving the MBW complex are not well understood. In this study, one R2R3MYB (AcMYBF110 expressed in fruit characteristically), one bHLH (AcbHLH1), two upstream regulators of AcbHLH1 (AcbHLH4 and AcbHLH5), and one WDR (AcWDR1) are characterized as being involved in the regulation of anthocyanin synthesis in kiwifruit. AcMYBF110 plays an important role in the regulation of anthocyanin accumulation by specifically activating the promoters of several anthocyanin pathway genes including AcCHS, AcF3'H, AcANS, AcUFGT3a, AcUFGT6b, and AcGST1. Coexpression of AcbHLH1, AcbHLH4, or AcbHLH5 together with AcMYBF110 induces much greater anthocyanin accumulation in both tobacco leaves and in Actinidia arguta fruit compared with AcMYBF110 alone. Moreover, this activation is further enhanced by adding AcWDR1. We found that both AcMYBF110 and AcWDR1 interact with all three AcbHLH factors, while AcMYBF110 also interacts with AcWDR1 to form three different MBW complexes that have different regulatory roles in anthocyanin accumulation of kiwifruit. The AcMYBF110-AcbHLH1-AcWDR1 complex directly targets the promoters of anthocyanin synthetic genes. Other features of the regulatory pathways identified include promotion of AcMYBF110, AcbHLH1,and AcWDR1 activities by this MBW complex, providing for both reinforcement and feedback regulation, whereas the AcMYBF110-AcbHLH4/5-AcWDR1 complex is indirectly involved in the regulation of anthocyanin synthesis by activating the promoters of AcbHLH1 and AcWDR1 to amplify the regulation signals of the first MBW complex.
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Affiliation(s)
- Yanfei Liu
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
- College of Life Science, Northwest A&F University, Yangling, 712100 Shannxi, China
| | - Kangxun Ma
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
| | - Yingwei Qi
- Sericultural & Agri-Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional Foods, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products Processing, Guangzhou 510610 Guangdong, China
| | - Guowen Lv
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
| | - Xiaolin Ren
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
| | - Zhande Liu
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
| | - Fengwang Ma
- College of Horticulture, Northwest A&F University, Yangling, 712100 Shannxi, China
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14
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Teixeira JR, Szeto RA, Carvalho VMA, Muotri AR, Papes F. Transcription factor 4 and its association with psychiatric disorders. Transl Psychiatry 2021; 11:19. [PMID: 33414364 PMCID: PMC7791034 DOI: 10.1038/s41398-020-01138-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 11/28/2020] [Accepted: 12/03/2020] [Indexed: 02/06/2023] Open
Abstract
The human transcription factor 4 gene (TCF4) encodes a helix-loop-helix transcription factor widely expressed throughout the body and during neural development. Mutations in TCF4 cause a devastating autism spectrum disorder known as Pitt-Hopkins syndrome, characterized by a range of aberrant phenotypes including severe intellectual disability, absence of speech, delayed cognitive and motor development, and dysmorphic features. Moreover, polymorphisms in TCF4 have been associated with schizophrenia and other psychiatric and neurological conditions. Details about how TCF4 genetic variants are linked to these diseases and the role of TCF4 during neural development are only now beginning to emerge. Here, we provide a comprehensive review of the functions of TCF4 and its protein products at both the cellular and organismic levels, as well as a description of pathophysiological mechanisms associated with this gene.
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Affiliation(s)
- José R. Teixeira
- grid.411087.b0000 0001 0723 2494Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, São Paulo Brazil
| | - Ryan A. Szeto
- grid.266100.30000 0001 2107 4242Department of Pediatrics/Rady Children’s Hospital, School of Medicine, University of California San Diego, La Jolla, CA USA
| | - Vinicius M. A. Carvalho
- grid.411087.b0000 0001 0723 2494Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, São Paulo Brazil ,grid.266100.30000 0001 2107 4242Department of Pediatrics/Rady Children’s Hospital, School of Medicine, University of California San Diego, La Jolla, CA USA
| | - Alysson R. Muotri
- grid.266100.30000 0001 2107 4242Department of Pediatrics/Rady Children’s Hospital, School of Medicine, University of California San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242Department of Cellular & Molecular Medicine, School of Medicine, University of California San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242Kavli Institute for Brain and Mind, University of California San Diego, La Jolla, CA USA ,grid.266100.30000 0001 2107 4242Center for Academic Research and Training in Anthropogeny (CARTA), University of California San Diego, La Jolla, CA USA
| | - Fabio Papes
- Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil. .,Department of Pediatrics/Rady Children's Hospital, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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15
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Aditham AK, Markin CJ, Mokhtari DA, DelRosso N, Fordyce PM. High-Throughput Affinity Measurements of Transcription Factor and DNA Mutations Reveal Affinity and Specificity Determinants. Cell Syst 2020; 12:112-127.e11. [PMID: 33340452 DOI: 10.1016/j.cels.2020.11.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/08/2020] [Accepted: 11/24/2020] [Indexed: 01/28/2023]
Abstract
Transcription factors (TFs) bind regulatory DNA to control gene expression, and mutations to either TFs or DNA can alter binding affinities to rewire regulatory networks and drive phenotypic variation. While studies have profiled energetic effects of DNA mutations extensively, we lack similar information for TF variants. Here, we present STAMMP (simultaneous transcription factor affinity measurements via microfluidic protein arrays), a high-throughput microfluidic platform enabling quantitative characterization of hundreds of TF variants simultaneously. Measured affinities for ∼210 mutants of a model yeast TF (Pho4) interacting with 9 oligonucleotides (>1,800 Kds) reveal that many combinations of mutations to poorly conserved TF residues and nucleotides flanking the core binding site alter but preserve physiological binding, providing a mechanism by which combinations of mutations in cis and trans could modulate TF binding to tune occupancies during evolution. Moreover, biochemical double-mutant cycles across the TF-DNA interface reveal molecular mechanisms driving recognition, linking sequence to function. A record of this paper's Transparent Peer Review process is included in the Supplemental Information.
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Affiliation(s)
- Arjun K Aditham
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Stanford ChEM-H, Stanford University, Stanford, CA 94305, USA
| | - Craig J Markin
- Department of Biochemistry, Stanford University, Stanford, CA 94305, USA
| | - Daniel A Mokhtari
- Department of Biochemistry, Stanford University, Stanford, CA 94305, USA
| | - Nicole DelRosso
- Graduate Program in Biophysics, Stanford University, Stanford, CA 94305, USA
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Stanford ChEM-H, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94110, USA.
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16
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Binding and folding in transcriptional complexes. Curr Opin Struct Biol 2020; 66:156-162. [PMID: 33248428 DOI: 10.1016/j.sbi.2020.10.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 10/16/2020] [Accepted: 10/27/2020] [Indexed: 01/13/2023]
Abstract
Transcription factors are among the classes of proteins with the highest levels of disorder. Investigation of these regulatory proteins is uncovering not just the mechanisms that underlie gene regulation, but relationships that apply to all intrinsically disordered proteins. Recent studies confirm that binding does not necessarily induce folding but that when it does, it tends to follow induced fit mechanisms. Other work emphasises the importance of electrostatics to interactions involving intrinsically disordered proteins, and roles of intrinsic disorder in phase transitions. All these features help direct transcription factors to target sites in the genome to upregulate or downregulate transcription.
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17
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Emerging Roles of Inhibitor of Differentiation-1 in Alzheimer's Disease: Cell Cycle Reentry and Beyond. Cells 2020; 9:cells9071746. [PMID: 32708313 PMCID: PMC7409121 DOI: 10.3390/cells9071746] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/09/2020] [Accepted: 07/18/2020] [Indexed: 12/22/2022] Open
Abstract
Inhibitor of DNA-binding/differentiation (Id) proteins, a family of helix-loop-helix (HLH) proteins that includes four members of Id1 to Id4 in mammalian cells, are critical for regulating cell growth, differentiation, senescence, cell cycle progression, and increasing angiogenesis and vasculogenesis, as well as accelerating the ability of cell migration. Alzheimer’s disease (AD), the most common neurodegenerative disease in the adult population, manifests the signs of cognitive decline, behavioral changes, and functional impairment. The underlying mechanisms for AD are not well-clarified yet, but the aggregation of amyloid-beta peptides (Aβs), the major components in the senile plaques observed in AD brains, contributes significantly to the disease progression. Emerging evidence reveals that aberrant cell cycle reentry may play a central role in Aβ-induced neuronal demise. Recently, we have shown that several signaling mediators, including Id1, hypoxia-inducible factor-1 (HIF-1), cyclin-dependent kinases-5 (CDK5), and sonic hedgehog (Shh), may contribute to Aβ-induced cell cycle reentry in postmitotic neurons; furthermore, Id1 and CDK5/p25 mutually antagonize the expression/activity of each other. Therefore, Id proteins may potentially have clinical applications in AD. In this review article, we introduce the underlying mechanisms for cell cycle dysregulation in AD and present some examples, including our own studies, to show different aspects of Id1 in terms of cell cycle reentry and other signaling that may be crucial to alter the neuronal fates in this devastating neurodegenerative disease. A thorough understanding of the underlying mechanisms may provide a rationale to make an earlier intervention before the occurrence of cell cycle reentry and subsequent apoptosis in the fully differentiated neurons during the progression of AD or other neurodegenerative diseases.
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18
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Zhu J, Xu Q, Zhao S, Xia X, Yan X, An Y, Mi X, Guo L, Samarina L, Wei C. Comprehensive co-expression analysis provides novel insights into temporal variation of flavonoids in fresh leaves of the tea plant (Camellia sinensis). PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 290:110306. [PMID: 31779914 DOI: 10.1016/j.plantsci.2019.110306] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/07/2019] [Accepted: 10/11/2019] [Indexed: 05/18/2023]
Abstract
Flavonoids are the major class of characteristic secondary compounds in Camellia sinensis that affect quality of tea. However, the temporal variation and the underlying regulatory mechanism of flavonoid biosynthesis during different growth months require a further investigation. Here, we combined analyses of the metabolomics and transcriptomics to tea leaves freshly collected during five different months for a comprehensive understanding of flavonoid metabolism regulation in tea plants. Through loading plot analysis, significant changes in the contents of metabolites during growing months were discovered, and further co-expression and association analysis indicated that one flavone glycoside (naringenin-7-O-glucoside) and two flavonol glycosides (quercetin-3-O-galactoside and kaemferol-3-O-(6″-O-p-courmaroyl)-glucoside) were evaluated as growth markers, which may explain the high bitterness and astringency of August teas; additionally, the high levels of two flavan-3-ols (gallocatechin and catechin gallate) may contribute to the flavor formation of April tea. Meanwhile, multiple flavonoid-related structural genes, MYB and bHLH transcription factors exhibit specific expression patterns to modulate the biosynthesis of these key flavonoids. A co-expression regulatory sub-network was constructed based on profiles of differentially expressed genes; one CsbHLH and six transcription factors (three CsbHLHs and three CsMYBs) exhibited negative and positive roles in the regulation of flavonoid biosynthetic genes, respectively. Taken together, our results provide new insights into the regulation of principle flavonoids for unique flavor of tea regulated by many flavonoid-related structural genes and transcription factors during different growth months.
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Affiliation(s)
- Junyan Zhu
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Qingshan Xu
- College of Horticulture, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Shiqi Zhao
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Xiaobo Xia
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Xiaomei Yan
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Yanlin An
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Xiaozeng Mi
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Lingxiao Guo
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China
| | - Lidiia Samarina
- Russian Research Institute of Floriculture and Subtropical Crops, 354002 Yana Fabritsiusa st. 2/28, Sochi, Russian Federation
| | - Chaoling Wei
- State Key Laboratory of Tea Plant Biology and Utilization/Key Laboratory of Tea Biology and Processing, Ministry of Agriculture, Anhui Agricultural University, West 130 Changjiang Road, Hefei 230036 Anhui, China.
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19
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Yang J, Horton JR, Li J, Huang Y, Zhang X, Blumenthal RM, Cheng X. Structural basis for preferential binding of human TCF4 to DNA containing 5-carboxylcytosine. Nucleic Acids Res 2019; 47:8375-8387. [PMID: 31081034 PMCID: PMC6895265 DOI: 10.1093/nar/gkz381] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 04/27/2019] [Accepted: 04/30/2019] [Indexed: 12/11/2022] Open
Abstract
The psychiatric risk-associated transcription factor 4 (TCF4) is linked to schizophrenia. Rare TCF4 coding variants are found in individuals with Pitt-Hopkins syndrome-an intellectual disability and autism spectrum disorder. TCF4 contains a C-terminal basic-helix-loop-helix (bHLH) DNA binding domain which recognizes the enhancer-box (E-box) element 5'-CANNTG-3' (where N = any nucleotide). A subset of the TCF4-occupancy sites have the expanded consensus binding specificity 5'-C(A/G)-CANNTG-3', with an added outer Cp(A/G) dinucleotide; for example in the promoter for CNIH3, a gene involved in opioid dependence. In mammalian genomes, particularly brain, the CpG and CpA dinucleotides can be methylated at the 5-position of cytosine (5mC), and then may undergo successive oxidations to the 5-hydroxymethyl (5hmC), 5-formyl (5fC), and 5-carboxyl (5caC) forms. We find that, in the context of 5'-0CG-1CA-2CG-3TG-3'(where the numbers indicate successive dinucleotides), modification of the central E-box 2CG has very little effect on TCF4 binding, E-box 1CA modification has a negative influence on binding, while modification of the flanking 0CG, particularly carboxylation, has a strong positive impact on TCF4 binding to DNA. Crystallization of TCF4 in complex with unmodified or 5caC-modified oligonucleotides revealed that the basic region of bHLH domain adopts multiple conformations, including an extended loop going through the DNA minor groove, or the N-terminal portion of a long helix binding in the DNA major groove. The different protein conformations enable arginine 576 (R576) to interact, respectively, with a thymine in the minor groove, a phosphate group of DNA backbone, or 5caC in the major groove. The Pitt-Hopkins syndrome mutations affect five arginine residues in the basic region, two of them (R569 and R576) involved in 5caC recognition. Our analyses indicate, and suggest a structural basis for, the preferential recognition of 5caC by a transcription factor centrally important in brain development.
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Affiliation(s)
- Jie Yang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John R Horton
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jia Li
- Center for Epigenetics & Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA
| | - Yun Huang
- Center for Epigenetics & Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA
| | - Xing Zhang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert M Blumenthal
- Department of Medical Microbiology and Immunology, and Program in Bioinformatics, The University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Xiaodong Cheng
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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20
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Tissot N, Robe K, Gao F, Grant-Grant S, Boucherez J, Bellegarde F, Maghiaoui A, Marcelin R, Izquierdo E, Benhamed M, Martin A, Vignols F, Roschzttardtz H, Gaymard F, Briat JF, Dubos C. Transcriptional integration of the responses to iron availability in Arabidopsis by the bHLH factor ILR3. THE NEW PHYTOLOGIST 2019; 223:1433-1446. [PMID: 30773647 DOI: 10.1111/nph.15753] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 02/12/2019] [Indexed: 05/21/2023]
Abstract
Iron (Fe) homeostasis is crucial for all living organisms. In mammals, an integrated posttranscriptional mechanism couples the regulation of both Fe deficiency and Fe excess responses. Whether in plants an integrated control mechanism involving common players regulates responses both to deficiency and to excess is still to be determined. In this study, molecular, genetic and biochemical approaches were used to investigate transcriptional responses to both Fe deficiency and excess. A transcriptional activator of responses to Fe shortage in Arabidopsis, called bHLH105/ILR3, was found to also negatively regulate the expression of ferritin genes, which are markers of the plant's response to Fe excess. Further investigations revealed that ILR3 repressed the expression of several structural genes that function in the control of Fe homeostasis. ILR3 interacts directly with the promoter of its target genes, and repressive activity was conferred by its dimerisation with bHLH47/PYE. Last, this study highlighted that important facets of plant growth in response to Fe deficiency or excess rely on ILR3 activity. Altogether, the data presented herein support that ILR3 is at the centre of the transcriptional regulatory network that controls Fe homeostasis in Arabidopsis, in which it acts as both transcriptional activator and repressor.
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Affiliation(s)
- Nicolas Tissot
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Kevin Robe
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Fei Gao
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Susana Grant-Grant
- Departamento de Genética Molecular y Microbiología, Pontificia Universidad Católica de Chile, 8331150, Santiago, Chile
| | - Jossia Boucherez
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Fanny Bellegarde
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Amel Maghiaoui
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Romain Marcelin
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Esther Izquierdo
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Moussa Benhamed
- Institut of Plant Sciences Paris-Saclay (IPS2), UMR 9213/UMR1403, CNRS, INRA, Université Paris-Sud, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Bâtiment 630, 91405, Orsay, France
| | - Antoine Martin
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Florence Vignols
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | - Hannetz Roschzttardtz
- Departamento de Genética Molecular y Microbiología, Pontificia Universidad Católica de Chile, 8331150, Santiago, Chile
| | - Frédéric Gaymard
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
| | | | - Christian Dubos
- BPMP, Univ Montpellier, CNRS, INRA, SupAgro, 34060, Montpellier, France
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21
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Inhibitor of DNA binding in heart development and cardiovascular diseases. Cell Commun Signal 2019; 17:51. [PMID: 31126344 PMCID: PMC6534900 DOI: 10.1186/s12964-019-0365-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 05/14/2019] [Indexed: 02/05/2023] Open
Abstract
Id proteins, inhibitors of DNA binding, are transcription regulators containing a highly conserved helix-loop-helix domain. During multiple stages of normal cardiogenesis, Id proteins play major roles in early development and participate in the differentiation and proliferation of cardiac progenitor cells and mature cardiomyocytes. The fact that a depletion of Ids can cause a variety of defects in cardiac structure and conduction function is further evidence of their involvement in heart development. Multiple signalling pathways and growth factors are involved in the regulation of Ids in a cell- and tissue- specific manner to affect heart development. Recent studies have demonstrated that Ids are related to multiple aspects of cardiovascular diseases, including congenital structural, coronary heart disease, and arrhythmia. Although a growing body of research has elucidated the important role of Ids, no comprehensive review has previously compiled these scattered findings. Here, we introduce and summarize the roles of Id proteins in heart development, with the hope that this overview of key findings might shed light on the molecular basis of consequential cardiovascular diseases. Furthermore, we described the future prospective researches needed to enable advancement in the maintainance of the proliferative capacity of cardiomyocytes. Additionally, research focusing on increasing embryonic stem cell culture adaptability will help to improve the future therapeutic application of cardiac regeneration.
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22
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Aydin B, Kakumanu A, Rossillo M, Moreno-Estellés M, Garipler G, Ringstad N, Flames N, Mahony S, Mazzoni EO. Proneural factors Ascl1 and Neurog2 contribute to neuronal subtype identities by establishing distinct chromatin landscapes. Nat Neurosci 2019; 22:897-908. [PMID: 31086315 PMCID: PMC6556771 DOI: 10.1038/s41593-019-0399-y] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 03/28/2019] [Indexed: 11/29/2022]
Abstract
Developmental programs that generate the astonishing neuronal diversity of the nervous system are not completely understood and thus present a significant challenge for clinical applications of guided cell differentiation strategies. Using direct neuronal programming of embryonic stem cells, we found that two main vertebrate proneural factors, Ascl1 and Neurog2, induce different neuronal fates by binding to largely different sets of genomic sites. Their divergent binding patterns are not determined by the previous chromatin state but are distinguished by enrichment of specific E-box sequences which reflect the binding preferences of the DNA-binding domains. The divergent Ascl1 and Neurog2 binding patterns result in distinct chromatin accessibility and enhancer activity profiles that differentially shape the binding of downstream transcription factors during neuronal differentiation. This study provides a mechanistic understanding of how transcription factors constrain terminal cell fates, and it delineates the importance of choosing the right proneural factor in neuronal reprogramming strategies.
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Affiliation(s)
- Begüm Aydin
- Department of Biology, New York University, New York, NY, USA.,Neuroscience Institute, Department of Neuroscience and Physiology, NYU School of Medicine, New York, NY, USA
| | - Akshay Kakumanu
- Center for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Mary Rossillo
- Skirball Institute of Biomolecular Medicine, NYU School of Medicine, New York, NY, USA
| | - Mireia Moreno-Estellés
- Developmental Neurobiology Unit, Instituto de Biomedicina de Valencia IBV-CSIC, Valencia, Spain
| | - Görkem Garipler
- Department of Biology, New York University, New York, NY, USA.,Neuroscience Institute, Department of Neuroscience and Physiology, NYU School of Medicine, New York, NY, USA
| | - Niels Ringstad
- Skirball Institute of Biomolecular Medicine, NYU School of Medicine, New York, NY, USA
| | - Nuria Flames
- Developmental Neurobiology Unit, Instituto de Biomedicina de Valencia IBV-CSIC, Valencia, Spain
| | - Shaun Mahony
- Center for Eukaryotic Gene Regulation, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.
| | - Esteban O Mazzoni
- Department of Biology, New York University, New York, NY, USA. .,Neuroscience Institute, Department of Neuroscience and Physiology, NYU School of Medicine, New York, NY, USA.
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23
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Gao F, Robe K, Gaymard F, Izquierdo E, Dubos C. The Transcriptional Control of Iron Homeostasis in Plants: A Tale of bHLH Transcription Factors? FRONTIERS IN PLANT SCIENCE 2019; 10:6. [PMID: 30713541 PMCID: PMC6345679 DOI: 10.3389/fpls.2019.00006] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 01/07/2019] [Indexed: 05/19/2023]
Abstract
Iron is one of the most important micronutrients in plants as it is involved in many cellular functions (e.g., photosynthesis and respiration). Any defect in iron availability will affect plant growth and development as well as crop yield and plant product quality. Thus, iron homeostasis must be tightly controlled in order to ensure optimal absorption of this mineral element. Understanding mechanisms governing iron homeostasis in plants has been the focus of several studies during the past 10 years. These studies have greatly improved our understanding of the mechanisms involved, revealing a sophisticated iron-dependent transcriptional regulatory network. Strikingly, these studies have also highlighted that this regulatory web relies on the activity of numerous transcriptional regulators that belong to the same group of transcription factors (TF), the bHLH (basic helix-loop-helix) family. This is best exemplified in Arabidopsis where, to date, 16 bHLH TF have been characterized as involved in this process and acting in a complex regulatory cascade. Interestingly, among these bHLH TF some form specific clades, indicating that peculiar function dedicated to the maintenance of iron homeostasis, have emerged during the course of the evolution of the green lineage. Within this mini review, we present new insights on the control of iron homeostasis and the involvement of bHLH TF in this metabolic process.
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24
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Borba AR, Serra TS, Górska A, Gouveia P, Cordeiro AM, Reyna-Llorens I, Kneřová J, Barros PM, Abreu IA, Oliveira MM, Hibberd JM, Saibo NJM. Synergistic Binding of bHLH Transcription Factors to the Promoter of the Maize NADP-ME Gene Used in C4 Photosynthesis Is Based on an Ancient Code Found in the Ancestral C3 State. Mol Biol Evol 2018; 35:1690-1705. [PMID: 29659975 PMCID: PMC5995220 DOI: 10.1093/molbev/msy060] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
C4 photosynthesis has evolved repeatedly from the ancestral C3 state to generate a carbon concentrating mechanism that increases photosynthetic efficiency. This specialized form of photosynthesis is particularly common in the PACMAD clade of grasses, and is used by many of the world's most productive crops. The C4 cycle is accomplished through cell-type-specific accumulation of enzymes but cis-elements and transcription factors controlling C4 photosynthesis remain largely unknown. Using the NADP-Malic Enzyme (NADP-ME) gene as a model we tested whether mechanisms impacting on transcription in C4 plants evolved from ancestral components found in C3 species. Two basic Helix-Loop-Helix (bHLH) transcription factors, ZmbHLH128 and ZmbHLH129, were shown to bind the C4NADP-ME promoter from maize. These proteins form heterodimers and ZmbHLH129 impairs trans-activation by ZmbHLH128. Electrophoretic mobility shift assays indicate that a pair of cis-elements separated by a seven base pair spacer synergistically bind either ZmbHLH128 or ZmbHLH129. This pair of cis-elements is found in both C3 and C4 Panicoid grass species of the PACMAD clade. Our analysis is consistent with this cis-element pair originating from a single motif present in the ancestral C3 state. We conclude that C4 photosynthesis has co-opted an ancient C3 regulatory code built on G-box recognition by bHLH to regulate the NADP-ME gene. More broadly, our findings also contribute to the understanding of gene regulatory networks controlling C4 photosynthesis.
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Affiliation(s)
- Ana Rita Borba
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Tânia S Serra
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Alicja Górska
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Paulo Gouveia
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - André M Cordeiro
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Ivan Reyna-Llorens
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Jana Kneřová
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Pedro M Barros
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
| | - Isabel A Abreu
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Maria Margarida Oliveira
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
| | - Julian M Hibberd
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Nelson J M Saibo
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal
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25
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Abstract
Transcription factors (TFs) control gene expression by binding to genomic DNA in a sequence-specific manner. Mutations in TF binding sites are increasingly found to be associated with human disease, yet we currently lack robust methods to predict these sites. Here, we developed a versatile maximum likelihood framework named No Read Left Behind (NRLB) that infers a biophysical model of protein-DNA recognition across the full affinity range from a library of in vitro selected DNA binding sites. NRLB predicts human Max homodimer binding in near-perfect agreement with existing low-throughput measurements. It can capture the specificity of the p53 tetramer and distinguish multiple binding modes within a single sample. Additionally, we confirm that newly identified low-affinity enhancer binding sites are functional in vivo, and that their contribution to gene expression matches their predicted affinity. Our results establish a powerful paradigm for identifying protein binding sites and interpreting gene regulatory sequences in eukaryotic genomes.
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26
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Quezada-Ramírez M, Castañeda-Arellano R, Pérez-Sánchez G, Hernández-Soto J, Segovia J. The Growth arrest specific 1 ( Gas1 ) gene is transcriptionally regulated by NeuroD1 via two distal E-boxes. Exp Cell Res 2018; 363:332-341. [DOI: 10.1016/j.yexcr.2018.01.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 01/23/2018] [Accepted: 01/24/2018] [Indexed: 12/13/2022]
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27
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de Marcos A, Houbaert A, Triviño M, Delgado D, Martín-Trillo M, Russinova E, Fenoll C, Mena M. A Mutation in the bHLH Domain of the SPCH Transcription Factor Uncovers a BR-Dependent Mechanism for Stomatal Development. PLANT PHYSIOLOGY 2017; 174:823-842. [PMID: 28507175 PMCID: PMC5462054 DOI: 10.1104/pp.17.00615] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 05/15/2017] [Indexed: 05/25/2023]
Abstract
The asymmetric cell divisions necessary for stomatal lineage initiation and progression in Arabidopsis (Arabidopsis thaliana) require the function of the basic helix-loop-helix (bHLH) transcription factor SPEECHLESS (SPCH). Mutants lacking SPCH do not produce stomata or lineages. Here, we isolated a new spch-5 allele carrying a point mutation in the bHLH domain that displayed normal growth, but had an extremely low number of sometimes clustered stomata in the leaves, whereas the hypocotyls did not have any stomata. In vivo tracking of leaf epidermal cell divisions, combined with marker lines and genetic analysis, showed that the spch-5 leaf phenotype is dosage dependent and results from the decreased ability to initiate and amplify lineages, defects in asymmetric cell fate allocation, and misorientation of asymmetric division planes. Notably, application of brassinosteroids (BRs) partly rescued the stomatal leaf phenotype of spch-5 Transcriptomic analysis combining spch-5 with BR treatments revealed that the expression of a set of SPCH target genes was restored by BRs. Our results also show that BR-dependent stomata formation and expression of some, but not all, SPCH target genes require the integrity of the bHLH domain of SPCH.
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Affiliation(s)
- Alberto de Marcos
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Anaxi Houbaert
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Magdalena Triviño
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Dolores Delgado
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Mar Martín-Trillo
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Eugenia Russinova
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Carmen Fenoll
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
| | - Montaña Mena
- Facultad de Ciencias Ambientales y Bioquímica, Universidad de Castilla-La Mancha, 45071 Toledo, Spain (A.d.M., M.T., D.D., M.M.-T., C.F., M.M.); Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium (A.H., E.R.); and Center for Plant Systems Biology, VIB, 9052 Gent, Belgium (A.H., E.R.)
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28
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Bouard C, Terreux R, Tissier A, Jacqueroud L, Vigneron A, Ansieau S, Puisieux A, Payen L. Destabilization of the TWIST1/E12 complex dimerization following the R154P point-mutation of TWIST1: an in silico approach. BMC STRUCTURAL BIOLOGY 2017; 17:6. [PMID: 28521820 PMCID: PMC5437649 DOI: 10.1186/s12900-017-0076-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 05/02/2017] [Indexed: 11/24/2022]
Abstract
Background The bHLH transcription factor TWIST1 plays a key role in the embryonic development and in tumorigenesis. Some loss-of-function mutations of the TWIST1 gene have been shown to cause an autosomal dominant craniosynostosis, known as the Saethre-Chotzen syndrome (SCS). Although the functional impacts of many TWIST1 mutations have been experimentally reported, little is known on the molecular mechanisms underlying their loss-of-function. In a previous study, we highlighted the predictive value of in silico molecular dynamics (MD) simulations in deciphering the molecular function of TWIST1 residues. Results Here, since the substitution of the arginine 154 amino acid by a glycine residue (R154G) is responsible for the SCS phenotype and the substitution of arginine 154 by a proline experimentally decreases the dimerizing ability of TWIST1, we investigated the molecular impact of this point mutation using MD approaches. Consistently, MD simulations highlighted a clear decrease in the stability of the α-helix during the dimerization of the mutated R154P TWIST1/E12 dimer compared to the wild-type TE complex, which was further confirmed in vitro using immunoassays. Conclusions Our study demonstrates that MD simulations provide a structural explanation for the loss-of-function associated with the SCS TWIST1 mutation and provides a proof of concept of the predictive value of these MD simulations. This in silico methodology could be used to determine reliable pharmacophore sites, leading to the application of docking approaches in order to identify specific inhibitors of TWIST1 complexes. Electronic supplementary material The online version of this article (doi:10.1186/s12900-017-0076-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Charlotte Bouard
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France
| | - Raphael Terreux
- Université de Lyon1, ISPB, Lyon, 69008, France.,Pole Rhône-Alpes de Bioinformatique - Lyon Gerland (PRABI-LG), Lyon, 69007, France.,CNRS UMR 5305, Lyon, France
| | - Agnès Tissier
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France
| | - Laurent Jacqueroud
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France
| | - Arnaud Vigneron
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France
| | - Stéphane Ansieau
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France
| | - Alain Puisieux
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France.,LabEX DEVweCAN, Lyon, France.,UNIV UMR1052, Lyon, 69008, France.,Centre Léon Bérard, Lyon, 69373, France.,Université de Lyon1, ISPB, Lyon, 69008, France.,Institut Universitaire de France, Paris, 75231, France
| | - Léa Payen
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France. .,CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon, 69373, France. .,LabEX DEVweCAN, Lyon, France. .,UNIV UMR1052, Lyon, 69008, France. .,Centre Léon Bérard, Lyon, 69373, France. .,Université de Lyon1, ISPB, Lyon, 69008, France. .,Laboratoire de Biochimie et Biologie Moléculaire (CHLS), Hospices Civils de Lyon, Lyon, 69003, France.
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29
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Korostelev YD, Zharov IA, Mironov AA, Rakhmaininova AB, Gelfand MS. Identification of Position-Specific Correlations between DNA-Binding Domains and Their Binding Sites. Application to the MerR Family of Transcription Factors. PLoS One 2016; 11:e0162681. [PMID: 27690309 PMCID: PMC5045206 DOI: 10.1371/journal.pone.0162681] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 08/26/2016] [Indexed: 11/25/2022] Open
Abstract
The large and increasing volume of genomic data analyzed by comparative methods provides information about transcription factors and their binding sites that, in turn, enables statistical analysis of correlations between factors and sites, uncovering mechanisms and evolution of specific protein-DNA recognition. Here we present an online tool, Prot-DNA-Korr, designed to identify and analyze crucial protein-DNA pairs of positions in a family of transcription factors. Correlations are identified by analysis of mutual information between columns of protein and DNA alignments. The algorithm reduces the effects of common phylogenetic history and of abundance of closely related proteins and binding sites. We apply it to five closely related subfamilies of the MerR family of bacterial transcription factors that regulate heavy metal resistance systems. We validate the approach using known 3D structures of MerR-family proteins in complexes with their cognate DNA binding sites and demonstrate that a significant fraction of correlated positions indeed form specific side-chain-to-base contacts. The joint distribution of amino acids and nucleotides hence may be used to predict changes of specificity for point mutations in transcription factors.
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Affiliation(s)
- Yuriy D. Korostelev
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 19-1 Bolshoy Karetny pereulok, Moscow, Russia, 127994
- Department of Bioengineering and Bioinformatics, Moscow State University, 1-73 Vorobievy Gory, Moscow, Russia, 119991
| | - Ilya A. Zharov
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 19-1 Bolshoy Karetny pereulok, Moscow, Russia, 127994
| | - Andrey A. Mironov
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 19-1 Bolshoy Karetny pereulok, Moscow, Russia, 127994
- Department of Bioengineering and Bioinformatics, Moscow State University, 1-73 Vorobievy Gory, Moscow, Russia, 119991
| | - Alexandra B. Rakhmaininova
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 19-1 Bolshoy Karetny pereulok, Moscow, Russia, 127994
| | - Mikhail S. Gelfand
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, 19-1 Bolshoy Karetny pereulok, Moscow, Russia, 127994
- Department of Bioengineering and Bioinformatics, Moscow State University, 1-73 Vorobievy Gory, Moscow, Russia, 119991
- * E-mail:
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30
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Khund-Sayeed S, He X, Holzberg T, Wang J, Rajagopal D, Upadhyay S, Durell SR, Mukherjee S, Weirauch MT, Rose R, Vinson C. 5-Hydroxymethylcytosine in E-box motifs ACAT|GTG and ACAC|GTG increases DNA-binding of the B-HLH transcription factor TCF4. Integr Biol (Camb) 2016; 8:936-45. [PMID: 27485769 DOI: 10.1039/c6ib00079g] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
We evaluated DNA binding of the B-HLH family members TCF4 and USF1 using protein binding microarrays (PBMs) containing double-stranded DNA probes with cytosine on both strands or 5-methylcytosine (5mC) or 5-hydroxymethylcytosine (5hmC) on one DNA strand and cytosine on the second strand. TCF4 preferentially bound the E-box motif (CAN|NTG) with strongest binding to the 8-mer CAG|GTGGT. 5mC uniformly decreases DNA binding of both TCF4 and USF1. The bulkier 5hmC also inhibited USF1 binding to DNA. In contrast, 5hmC dramatically enhanced TCF4 binding to E-box motifs ACAT|GTG and ACAC|GTG, being better bound than any 8-mer containing cytosine. Examination of X-ray structures of the closely related TCF3 and USF1 bound to DNA suggests TCF3 can undergo a conformational shift to preferentially bind to 5hmC while the USF1 basic region is bulkier and rigid precluding a conformation shift to bind 5hmC. These results greatly expand the regulatory DNA sequence landscape bound by TCF4.
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Affiliation(s)
- Syed Khund-Sayeed
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Room 3128, Building 37, Bethesda, MD 20892, USA.
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Cell-Autonomous and Non-Cell-Autonomous Regulation of a Feeding State-Dependent Chemoreceptor Gene via MEF-2 and bHLH Transcription Factors. PLoS Genet 2016; 12:e1006237. [PMID: 27487365 PMCID: PMC4972359 DOI: 10.1371/journal.pgen.1006237] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 07/12/2016] [Indexed: 01/01/2023] Open
Abstract
Food and feeding-state dependent changes in chemoreceptor gene expression may allow Caenorhabditis elegans to modify their chemosensory behavior, but the mechanisms essential for these expression changes remain poorly characterized. We had previously shown that expression of a feeding state-dependent chemoreceptor gene, srh-234, in the ADL sensory neuron of C. elegans is regulated via the MEF-2 transcription factor. Here, we show that MEF-2 acts together with basic helix-loop-helix (bHLH) transcription factors to regulate srh-234 expression as a function of feeding state. We identify a cis-regulatory MEF2 binding site that is necessary and sufficient for the starvation-induced down regulation of srh-234 expression, while an E-box site known to bind bHLH factors is required to drive srh-234 expression in ADL. We show that HLH-2 (E/Daughterless), HLH-3 and HLH-4 (Achaete-scute homologs) act in ADL neurons to regulate srh-234 expression. We further demonstrate that the expression levels of srh-234 in ADL neurons are regulated remotely by MXL-3 (Max-like 3 homolog) and HLH-30 (TFEB ortholog) acting in the intestine, which is dependent on insulin signaling functioning specifically in ADL neurons. We also show that this intestine-to-neuron feeding-state regulation of srh-234 involves a subset of insulin-like peptides. These results combined suggest that chemoreceptor gene expression is regulated by both cell-autonomous and non-cell-autonomous transcriptional mechanisms mediated by MEF2 and bHLH factors, which may allow animals to fine-tune their chemosensory responses in response to changes in their feeding state. Plasticity in chemoreceptor gene expression may be a simple strategy by which an animal can modulate its chemosensory responses in changing external and internal state conditions. However, the transcriptional mechanisms required for these chemoreceptor gene expression changes are poorly understood. Here, we describe the identification of a transcriptional module(s) consisting of MEF-2 and basic helix-loop-helix (bHLH) transcription factors and their cognate binding sites in Caenorhabditis elegans that act together in ADL sensory neurons to properly regulate expression of a feeding-state dependent chemoreceptor gene. We also showed that chemoreceptor gene expression in ADL neurons are regulated remotely by bHLH factors acting in the intestine through an insulin-mediated signaling pathway, implying a sensory neuron-gut interaction for modulating chemoreceptor gene expression as a function of feeding state. This work describes transcriptional mechanisms mediated by MEF-2 and bHLH factors by which the expression of individual chemoreceptor genes in C. elegans are changed in response to changes in feeding state conditions.
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Bouard C, Terreux R, Honorat M, Manship B, Ansieau S, Vigneron AM, Puisieux A, Payen L. Deciphering the molecular mechanisms underlying the binding of the TWIST1/E12 complex to regulatory E-box sequences. Nucleic Acids Res 2016; 44:5470-89. [PMID: 27151200 PMCID: PMC4914114 DOI: 10.1093/nar/gkw334] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 04/13/2016] [Indexed: 12/29/2022] Open
Abstract
The TWIST1 bHLH transcription factor controls embryonic development and cancer processes. Although molecular and genetic analyses have provided a wealth of data on the role of bHLH transcription factors, very little is known on the molecular mechanisms underlying their binding affinity to the E-box sequence of the promoter. Here, we used an in silico model of the TWIST1/E12 (TE) heterocomplex and performed molecular dynamics (MD) simulations of its binding to specific (TE-box) and modified E-box sequences. We focused on (i) active E-box and inactive E-box sequences, on (ii) modified active E-box sequences, as well as on (iii) two box sequences with modified adjacent bases the AT- and TA-boxes. Our in silico models were supported by functional in vitro binding assays. This exploration highlighted the predominant role of protein side-chain residues, close to the heart of the complex, at anchoring the dimer to DNA sequences, and unveiled a shift towards adjacent ((-1) and (-1*)) bases and conserved bases of modified E-box sequences. In conclusion, our study provides proof of the predictive value of these MD simulations, which may contribute to the characterization of specific inhibitors by docking approaches, and their use in pharmacological therapies by blocking the tumoral TWIST1/E12 function in cancers.
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Affiliation(s)
- Charlotte Bouard
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France LabEX DEVweCAN, Lyon, France UNIV UMR1052, Lyon 69008, France Centre Léon Bérard, Lyon 69373, France Université de Lyon1, ISPB, Lyon 69008, France
| | - Raphael Terreux
- Université de Lyon1, ISPB, Lyon 69008, France Institut de Biochimie des protéines IBCP, Lyon 69007, France CNRS UMR 5305, Lyon 69007, France
| | - Mylène Honorat
- Institut de Biochimie des protéines IBCP, Lyon 69007, France
| | | | - Stéphane Ansieau
- CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France LabEX DEVweCAN, Lyon, France UNIV UMR1052, Lyon 69008, France Centre Léon Bérard, Lyon 69373, France
| | - Arnaud M Vigneron
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France LabEX DEVweCAN, Lyon, France UNIV UMR1052, Lyon 69008, France Centre Léon Bérard, Lyon 69373, France
| | - Alain Puisieux
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France LabEX DEVweCAN, Lyon, France UNIV UMR1052, Lyon 69008, France Centre Léon Bérard, Lyon 69373, France Université de Lyon1, ISPB, Lyon 69008, France Institut Universitaire de France, Paris 75231, France
| | - Léa Payen
- Inserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon 69373, France LabEX DEVweCAN, Lyon, France UNIV UMR1052, Lyon 69008, France Centre Léon Bérard, Lyon 69373, France Université de Lyon1, ISPB, Lyon 69008, France Hospices Civils de Lyon, Laboratoire de Biochimie et Biologie Moléculaire du CHLS, Lyon 69003, France
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Barrera LA, Vedenko A, Kurland JV, Rogers JM, Gisselbrecht SS, Rossin EJ, Woodard J, Mariani L, Kock KH, Inukai S, Siggers T, Shokri L, Gordân R, Sahni N, Cotsapas C, Hao T, Yi S, Kellis M, Daly MJ, Vidal M, Hill DE, Bulyk ML. Survey of variation in human transcription factors reveals prevalent DNA binding changes. Science 2016; 351:1450-1454. [PMID: 27013732 PMCID: PMC4825693 DOI: 10.1126/science.aad2257] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 02/18/2016] [Indexed: 12/13/2022]
Abstract
Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.
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Affiliation(s)
- Luis A. Barrera
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Committee on Higher Degrees in Biophysics, Harvard
University, Cambridge, MA 02138, USA
- Harvard-MIT Division of Health Sciences and Technology,
Harvard Medical School, Boston, MA 02115, USA
- Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Anastasia Vedenko
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jesse V. Kurland
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julia M. Rogers
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Committee on Higher Degrees in Biophysics, Harvard
University, Cambridge, MA 02138, USA
| | - Stephen S. Gisselbrecht
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Elizabeth J. Rossin
- Harvard-MIT Division of Health Sciences and Technology,
Harvard Medical School, Boston, MA 02115, USA
- Analytic and Translational Genetics Unit, Department of
Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
02114, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02139,
USA
| | - Jaie Woodard
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Committee on Higher Degrees in Biophysics, Harvard
University, Cambridge, MA 02138, USA
| | - Luca Mariani
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kian Hong Kock
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard
University, Cambridge, MA 02138, USA
| | - Sachi Inukai
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Trevor Siggers
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Leila Shokri
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Raluca Gordân
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nidhi Sahni
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA and Department of Genetics, Harvard Medical School,
Boston, MA 02115, USA
| | - Chris Cotsapas
- Analytic and Translational Genetics Unit, Department of
Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
02114, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02139,
USA
| | - Tong Hao
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA and Department of Genetics, Harvard Medical School,
Boston, MA 02115, USA
| | - Song Yi
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA and Department of Genetics, Harvard Medical School,
Boston, MA 02115, USA
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02139,
USA
| | - Mark J. Daly
- Analytic and Translational Genetics Unit, Department of
Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
02114, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02139,
USA
- Center for Human Genetics Research and Center for
Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA
02114, USA
| | - Marc Vidal
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA and Department of Genetics, Harvard Medical School,
Boston, MA 02115, USA
| | - David E. Hill
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Cancer Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA and Department of Genetics, Harvard Medical School,
Boston, MA 02115, USA
| | - Martha L. Bulyk
- Division of Genetics, Department of Medicine, Brigham and
Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Committee on Higher Degrees in Biophysics, Harvard
University, Cambridge, MA 02138, USA
- Harvard-MIT Division of Health Sciences and Technology,
Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA 02139,
USA
- Program in Biological and Biomedical Sciences, Harvard
University, Cambridge, MA 02138, USA
- Center for Cancer Systems Biology, Dana-Farber Cancer
Institute, Boston, MA 02215, USA
- Department of Pathology, Brigham and Women's Hospital
and Harvard Medical School, Boston, MA 02115, USA
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Abstract
Conversion of one cell type into another cell type by forcibly expressing specific cocktails of transcription factors (TFs) has demonstrated that cell fates are not fixed and that cellular differentiation can be a two-way street with many intersections. These experiments also illustrated the sweeping potential of TFs to “read” genetically hardwired regulatory information even in cells where they are not normally expressed and to access and open up tightly packed chromatin to execute gene expression programs. Cellular reprogramming enables the modeling of diseases in a dish, to test the efficacy and toxicity of drugs in patient-derived cells and ultimately, could enable cell-based therapies to cure degenerative diseases. Yet, producing terminally differentiated cells that fully resemble their in vivo counterparts in sufficient quantities is still an unmet clinical need. While efforts are being made to reprogram cells nongenetically by using drug-like molecules, defined TF cocktails still dominate reprogramming protocols. Therefore, the optimization of TFs by protein engineering has emerged as a strategy to enhance reprogramming to produce functional, stable and safe cells for regenerative biomedicine. Engineering approaches focused on Oct4, MyoD, Sox17, Nanog and Mef2c and range from chimeric TFs with added transactivation domains, designer transcription activator-like effectors to activate endogenous TFs to reprogramming TFs with rationally engineered DNA recognition principles. Possibly, applying the complete toolkit of protein design to cellular reprogramming can help to remove the hurdles that, thus far, impeded the clinical use of cells derived from reprogramming technologies.
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Affiliation(s)
| | | | - Ralf Jauch
- Genome Regulation Laboratory, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 190 Kai Yuan Avenue, Science Park, Guangzhou, China
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35
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Tognon E, Kobia F, Busi I, Fumagalli A, De Masi F, Vaccari T. Control of lysosomal biogenesis and Notch-dependent tissue patterning by components of the TFEB-V-ATPase axis in Drosophila melanogaster. Autophagy 2016; 12:499-514. [PMID: 26727288 PMCID: PMC4836007 DOI: 10.1080/15548627.2015.1134080] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
In vertebrates, TFEB (transcription factor EB) and MITF (microphthalmia-associated transcription factor) family of basic Helix-Loop-Helix (bHLH) transcription factors regulates both lysosomal function and organ development. However, it is not clear whether these 2 processes are interconnected. Here, we show that Mitf, the single TFEB and MITF ortholog in Drosophila, controls expression of vacuolar-type H(+)-ATPase pump (V-ATPase) subunits. Remarkably, we also find that expression of Vha16-1 and Vha13, encoding 2 key components of V-ATPase, is patterned in the wing imaginal disc. In particular, Vha16-1 expression follows differentiation of proneural regions of the disc. These regions, which will form sensory organs in the adult, appear to possess a distinctive endolysosomal compartment and Notch (N) localization. Modulation of Mitf activity in the disc in vivo alters endolysosomal function and disrupts proneural patterning. Similar to our findings in Drosophila, in human breast epithelial cells we observe that impairment of the Vha16-1 human ortholog ATP6V0C changes the size and function of the endolysosomal compartment and that depletion of TFEB reduces ligand-independent N signaling activity. Our data suggest that lysosomal-associated functions regulated by the TFEB-V-ATPase axis might play a conserved role in shaping cell fate.
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Affiliation(s)
- Emiliana Tognon
- a IFOM - FIRC Institute of Molecular Oncology , Milan , Italy
| | - Francis Kobia
- a IFOM - FIRC Institute of Molecular Oncology , Milan , Italy
| | - Ilaria Busi
- a IFOM - FIRC Institute of Molecular Oncology , Milan , Italy
| | | | - Federico De Masi
- b Center for Biological Sequence Analysis, Institute for Systems Biology, Technical University of Denmark , Lyngby , Denmark
| | - Thomas Vaccari
- a IFOM - FIRC Institute of Molecular Oncology , Milan , Italy
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Xu W, Dubos C, Lepiniec L. Transcriptional control of flavonoid biosynthesis by MYB-bHLH-WDR complexes. TRENDS IN PLANT SCIENCE 2015; 20:176-85. [PMID: 25577424 DOI: 10.1016/j.tplants.2014.12.001] [Citation(s) in RCA: 903] [Impact Index Per Article: 100.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 11/21/2014] [Accepted: 12/10/2014] [Indexed: 05/18/2023]
Abstract
Flavonoids are widely known for the colors they confer to plant tissues, their contribution to plant fitness and health benefits, and impact on food quality. As convenient biological markers, flavonoids have been instrumental in major genetic and epigenetic discoveries. We review recent advances in the characterization of the underlying regulatory mechanisms of flavonoid biosynthesis, with a special focus on the MBW (MYB-bHLH-WDR) protein complexes. These proteins are well conserved in higher plants. They participate in different types of controls ranging from fine-tuned transcriptional regulation by environmental factors to the initiation of the flavonoid biosynthesis pathway by positive regulatory feedback. The MBW protein complexes provide interesting models for investigating developmentally or environmentally controlled transcriptional regulatory networks.
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Affiliation(s)
- Wenjia Xu
- Institut National de la Recherche Agronomique (INRA) Institut Jean-Pierre Bourgin, ERL-CNRS 3559, Saclay Plant Sciences, RD10, 78026 Versailles, France; AgroParisTech, Institut Jean-Pierre Bourgin, ERL-CNRS 3559, Saclay Plant Sciences, RD10, 78026 Versailles, France
| | - Christian Dubos
- INRA and Centre National de la Recherche Scientifique (CNRS) SupAgro-M, Université Montpellier 2 (UM2), Biochimie et Physiologie Moléculaire des Plantes, 2 place Viala, 34060 Montpellier CEDEX 1, France.
| | - Loïc Lepiniec
- Institut National de la Recherche Agronomique (INRA) Institut Jean-Pierre Bourgin, ERL-CNRS 3559, Saclay Plant Sciences, RD10, 78026 Versailles, France; AgroParisTech, Institut Jean-Pierre Bourgin, ERL-CNRS 3559, Saclay Plant Sciences, RD10, 78026 Versailles, France.
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37
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Niklas KJ, Bondos SE, Dunker AK, Newman SA. Rethinking gene regulatory networks in light of alternative splicing, intrinsically disordered protein domains, and post-translational modifications. Front Cell Dev Biol 2015; 3:8. [PMID: 25767796 PMCID: PMC4341551 DOI: 10.3389/fcell.2015.00008] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 01/26/2015] [Indexed: 11/16/2022] Open
Abstract
Models for genetic regulation and cell fate specification characteristically assume that gene regulatory networks (GRNs) are essentially deterministic and exhibit multiple stable states specifying alternative, but pre-figured cell fates. Mounting evidence shows, however, that most eukaryotic precursor RNAs undergo alternative splicing (AS) and that the majority of transcription factors contain intrinsically disordered protein (IDP) domains whose functionalities are context dependent as well as subject to post-translational modification (PTM). Consequently, many transcription factors do not have fixed cis-acting regulatory targets, and developmental determination by GRNs alone is untenable. Modeling these phenomena requires a multi-scale approach to explain how GRNs operationally interact with the intra- and intercellular environments. Evidence shows that AS, IDP, and PTM complicate gene expression and act synergistically to facilitate and promote time- and cell-specific protein modifications involved in cell signaling and cell fate specification and thereby disrupt a strict deterministic GRN-phenotype mapping. The combined effects of AS, IDP, and PTM give proteomes physiological plasticity, adaptive responsiveness, and developmental versatility without inefficiently expanding genome size. They also help us understand how protein functionalities can undergo major evolutionary changes by buffering mutational consequences.
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Affiliation(s)
- Karl J Niklas
- Plant Biology Section, School of Integrative Plant Science, Cornell University Ithaca, NY, USA
| | - Sarah E Bondos
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center College Station, TX, USA
| | - A Keith Dunker
- Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, IN, USA
| | - Stuart A Newman
- Department of Cell Biology and Anatomy, New York Medical College Valhalla, NY, USA
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Weirauch MT, Yang A, Albu M, Cote AG, Montenegro-Montero A, Drewe P, Najafabadi HS, Lambert SA, Mann I, Cook K, Zheng H, Goity A, van Bakel H, Lozano JC, Galli M, Lewsey MG, Huang E, Mukherjee T, Chen X, Reece-Hoyes JS, Govindarajan S, Shaulsky G, Walhout AJM, Bouget FY, Ratsch G, Larrondo LF, Ecker JR, Hughes TR. Determination and inference of eukaryotic transcription factor sequence specificity. Cell 2014; 158:1431-1443. [PMID: 25215497 DOI: 10.1016/j.cell.2014.08.009] [Citation(s) in RCA: 1139] [Impact Index Per Article: 113.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 04/03/2014] [Accepted: 08/06/2014] [Indexed: 10/24/2022]
Abstract
Transcription factor (TF) DNA sequence preferences direct their regulatory activity, but are currently known for only ∼1% of eukaryotic TFs. Broadly sampling DNA-binding domain (DBD) types from multiple eukaryotic clades, we determined DNA sequence preferences for >1,000 TFs encompassing 54 different DBD classes from 131 diverse eukaryotes. We find that closely related DBDs almost always have very similar DNA sequence preferences, enabling inference of motifs for ∼34% of the ∼170,000 known or predicted eukaryotic TFs. Sequences matching both measured and inferred motifs are enriched in chromatin immunoprecipitation sequencing (ChIP-seq) peaks and upstream of transcription start sites in diverse eukaryotic lineages. SNPs defining expression quantitative trait loci in Arabidopsis promoters are also enriched for predicted TF binding sites. Importantly, our motif "library" can be used to identify specific TFs whose binding may be altered by human disease risk alleles. These data present a powerful resource for mapping transcriptional networks across eukaryotes.
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Affiliation(s)
- Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology (CAGE) and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA; Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Ally Yang
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Mihai Albu
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Atina G Cote
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Alejandro Montenegro-Montero
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Philipp Drewe
- Computational Biology Center, Sloan-Kettering Institute, New York, NY 10065, USA
| | - Hamed S Najafabadi
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Samuel A Lambert
- Department of Molecular Genetics, University of Toronto, Toronto ON M5S 1A8, Canada
| | - Ishminder Mann
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Kate Cook
- Department of Molecular Genetics, University of Toronto, Toronto ON M5S 1A8, Canada
| | - Hong Zheng
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Alejandra Goity
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Harm van Bakel
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada; Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Jean-Claude Lozano
- Sorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7621, CNRS, Laboratoire d'Océanographie Microbienne, Observatoire Océanologique, F-66650 Banyuls/mer, France
| | - Mary Galli
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Mathew G Lewsey
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Eryong Huang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tuhin Mukherjee
- Department of Electronic and Computing Systems, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Xiaoting Chen
- Department of Electronic and Computing Systems, University of Cincinnati, Cincinnati, OH 45221, USA
| | - John S Reece-Hoyes
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | | | - Gad Shaulsky
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Albertha J M Walhout
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - François-Yves Bouget
- Sorbonne Universités, UPMC Univ Paris 06, CNRS UMR 7621, CNRS, Laboratoire d'Océanographie Microbienne, Observatoire Océanologique, F-66650 Banyuls/mer, France
| | - Gunnar Ratsch
- Computational Biology Center, Sloan-Kettering Institute, New York, NY 10065, USA
| | - Luis F Larrondo
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Timothy R Hughes
- Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto ON M5S 1A8, Canada.
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Hume MA, Barrera LA, Gisselbrecht SS, Bulyk ML. UniPROBE, update 2015: new tools and content for the online database of protein-binding microarray data on protein-DNA interactions. Nucleic Acids Res 2014; 43:D117-22. [PMID: 25378322 PMCID: PMC4383892 DOI: 10.1093/nar/gku1045] [Citation(s) in RCA: 209] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The Universal PBM Resource for Oligonucleotide Binding Evaluation (UniPROBE) serves as a convenient source of information on published data generated using universal protein-binding microarray (PBM) technology, which provides in vitro data about the relative DNA-binding preferences of transcription factors for all possible sequence variants of a length k (‘k-mers’). The database displays important information about the proteins and displays their DNA-binding specificity data in terms of k-mers, position weight matrices and graphical sequence logos. This update to the database documents the growth of UniPROBE since the last update 4 years ago, and introduces a variety of new features and tools, including a new streamlined pipeline that facilitates data deposition by universal PBM data generators in the research community, a tool that generates putative nonbinding (i.e. negative control) DNA sequences for one or more proteins and novel motifs obtained by analyzing the PBM data using the BEEML-PBM algorithm for motif inference. The UniPROBE database is available at http://uniprobe.org.
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Affiliation(s)
- Maxwell A Hume
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA Bioinformatics Graduate Program, Northeastern University, Boston, MA 02115, USA
| | - Luis A Barrera
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA Bioinformatics and Integrative Genomics Graduate Program, Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA
| | - Stephen S Gisselbrecht
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Martha L Bulyk
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA Bioinformatics and Integrative Genomics Graduate Program, Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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40
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Yang J, Li X, Morrell NW. Id proteins in the vasculature: from molecular biology to cardiopulmonary medicine. Cardiovasc Res 2014; 104:388-98. [PMID: 25274246 DOI: 10.1093/cvr/cvu215] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The inhibitors of differentiation (Id) proteins belong to the helix-loop-helix group of transcription factors and regulate cell differentiation and proliferation. Recent studies have reported that Id proteins play important roles in cardiogenesis and formation of the vasculature. We have also demonstrated that heritable pulmonary arterial hypertension (HPAH) patients have dysregulated Id gene expression in pulmonary artery smooth muscle cells. The interaction between bone morphogenetic proteins and other growth factors or cytokines regulates Id gene expression, which impacts on pulmonary vascular cell differentiation and proliferation. Exploration of the roles of Id proteins in vascular remodelling that occurs in PAH and atherosclerosis might provide new insights into the molecular basis of these diseases. In addition, current progress in identification of the interactors of Id proteins will further the understanding of the function of Ids in vascular cells and enable the identification of novel targets for therapy in PAH and other cardiovascular diseases.
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Affiliation(s)
- Jun Yang
- Department of Cell Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, 5 DongdanSantiao, Beijing 100005, China
| | - Xiaohui Li
- Department of Pharmacology, School of Pharmaceutical Science, Central South University, Changsha, China
| | - Nicholas W Morrell
- Department of Medicine, University of Cambridge School of Clinical Medicine, Level 5, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
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Quednow BB, Brzózka MM, Rossner MJ. Transcription factor 4 (TCF4) and schizophrenia: integrating the animal and the human perspective. Cell Mol Life Sci 2014; 71:2815-35. [PMID: 24413739 PMCID: PMC11113759 DOI: 10.1007/s00018-013-1553-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 12/04/2013] [Accepted: 12/30/2013] [Indexed: 02/06/2023]
Abstract
Schizophrenia is a genetically complex disease considered to have a neurodevelopmental pathogenesis and defined by a broad spectrum of positive and negative symptoms as well as cognitive deficits. Recently, large genome-wide association studies have identified common alleles slightly increasing the risk for schizophrenia. Among the few schizophrenia-risk genes that have been consistently replicated is the basic Helix-Loop-Helix (bHLH) transcription factor 4 (TCF4). Haploinsufficiency of the TCF4 (formatting follows IUPAC nomenclature: TCF4 protein/protein function, Tcf4 rodent gene cDNA mRNA, TCF4 human gene cDNA mRNA) gene causes the Pitt-Hopkins syndrome-a neurodevelopmental disease characterized by severe mental retardation. Accordingly, Tcf4 null-mutant mice display developmental brain defects. TCF4-associated risk alleles are located in putative coding and non-coding regions of the gene. Hence, subtle changes at the level of gene expression might be relevant for the etiopathology of schizophrenia. Behavioural phenotypes obtained with a mouse model of slightly increased gene dosage and electrophysiological investigations with human risk-allele carriers revealed an overlapping spectrum of schizophrenia-relevant endophenotypes. Most prominently, early information processing and higher cognitive functions appear to be associated with TCF4 risk genotypes. Moreover, a recent human study unravelled gene × environment interactions between TCF4 risk alleles and smoking behaviour that were specifically associated with disrupted early information processing. Taken together, TCF4 is considered as an integrator ('hub') of several bHLH networks controlling critical steps of various developmental, and, possibly, plasticity-related transcriptional programs in the CNS and changes of TCF4 expression also appear to affect brain networks important for information processing. Consequently, these findings support the neurodevelopmental hypothesis of schizophrenia and provide a basis for identifying the underlying molecular mechanisms.
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Affiliation(s)
- Boris B. Quednow
- Department of Psychiatry, Psychotherapy and Psychosomatics, Experimental and Clinical Pharmacopsychology, Psychiatric Hospital, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Magdalena M. Brzózka
- Department of Psychiatry, Molecular and Behavioral Neurobiology, Ludwig-Maximillians-University, Nussbaumstr. 7, 80336 Munich, Germany
| | - Moritz J. Rossner
- Department of Psychiatry, Molecular and Behavioral Neurobiology, Ludwig-Maximillians-University, Nussbaumstr. 7, 80336 Munich, Germany
- Research Group Gene Expression, Max-Planck-Institute of Experimental Medicine, Hermann-Rein-Str. 3, Goettingen, 37075 Germany
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42
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Lindemose S, Jensen MK, Van de Velde J, O'Shea C, Heyndrickx KS, Workman CT, Vandepoele K, Skriver K, De Masi F. A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors in Arabidopsis thaliana. Nucleic Acids Res 2014; 42:7681-93. [PMID: 24914054 PMCID: PMC4081100 DOI: 10.1093/nar/gku502] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Target gene identification for transcription factors is a prerequisite for the systems wide understanding of organismal behaviour. NAM-ATAF1/2-CUC2 (NAC) transcription factors are amongst the largest transcription factor families in plants, yet limited data exist from unbiased approaches to resolve the DNA-binding preferences of individual members. Here, we present a TF-target gene identification workflow based on the integration of novel protein binding microarray data with gene expression and multi-species promoter sequence conservation to identify the DNA-binding specificities and the gene regulatory networks of 12 NAC transcription factors. Our data offer specific single-base resolution fingerprints for most TFs studied and indicate that NAC DNA-binding specificities might be predicted from their DNA-binding domain's sequence. The developed methodology, including the application of complementary functional genomics filters, makes it possible to translate, for each TF, protein binding microarray data into a set of high-quality target genes. With this approach, we confirm NAC target genes reported from independent in vivo analyses. We emphasize that candidate target gene sets together with the workflow associated with functional modules offer a strong resource to unravel the regulatory potential of NAC genes and that this workflow could be used to study other families of transcription factors.
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Affiliation(s)
- Søren Lindemose
- Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Michael K Jensen
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark
| | - Jan Van de Velde
- Department of Plant Systems Biology, VIB, 9052 Ghent, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Charlotte O'Shea
- Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ken S Heyndrickx
- Department of Plant Systems Biology, VIB, 9052 Ghent, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Christopher T Workman
- Center for Biological Sequence Analysis, Institute for Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Klaas Vandepoele
- Department of Plant Systems Biology, VIB, 9052 Ghent, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
| | - Karen Skriver
- Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Federico De Masi
- Center for Biological Sequence Analysis, Institute for Systems Biology, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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Jankowski A, Prabhakar S, Tiuryn J. TACO: a general-purpose tool for predicting cell-type-specific transcription factor dimers. BMC Genomics 2014; 15:208. [PMID: 24640962 PMCID: PMC4004051 DOI: 10.1186/1471-2164-15-208] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Accepted: 03/07/2014] [Indexed: 12/22/2022] Open
Abstract
Background Cooperative binding of transcription factor (TF) dimers to DNA is increasingly recognized as a major contributor to binding specificity. However, it is likely that the set of known TF dimers is highly incomplete, given that they were discovered using ad hoc approaches, or through computational analyses of limited datasets. Results Here, we present TACO (Transcription factor Association from Complex Overrepresentation), a general-purpose standalone software tool that takes as input any genome-wide set of regulatory elements and predicts cell-type–specific TF dimers based on enrichment of motif complexes. TACO is the first tool that can accommodate motif complexes composed of overlapping motifs, a characteristic feature of many known TF dimers. Our method comprehensively outperforms existing tools when benchmarked on a reference set of 29 known dimers. We demonstrate the utility and consistency of TACO by applying it to 152 DNase-seq datasets and 94 ChIP-seq datasets. Conclusions Based on these results, we uncover a general principle governing the structure of TF-TF-DNA ternary complexes, namely that the flexibility of the complex is correlated with, and most likely a consequence of, inter-motif spacing.
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Affiliation(s)
| | - Shyam Prabhakar
- Computational and Systems Biology, Genome Institute of Singapore, 60 Biopolis Street, Singapore 138672, Singapore.
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44
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Jensen MK, Lindemose S, Masi FD, Reimer JJ, Nielsen M, Perera V, Workman CT, Turck F, Grant MR, Mundy J, Petersen M, Skriver K. ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana. FEBS Open Bio 2013; 3:321-7. [PMID: 23951554 PMCID: PMC3741915 DOI: 10.1016/j.fob.2013.07.006] [Citation(s) in RCA: 132] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2013] [Accepted: 07/23/2013] [Indexed: 12/20/2022] Open
Abstract
ATAF1, an Arabidopsis thaliana NAC transcription factor, plays important roles in plant adaptation to environmental stress and development. To search for ATAF1 target genes, we used protein binding microarrays and chromatin-immunoprecipitation (ChIP). This identified T[A,C,G]CGT[A,G] and TT[A,C,G]CGT as ATAF1 consensus binding sequences. Co-expression analysis across publicly available microarray experiments identified 25 genes co-expressed with ATAF1. The promoter regions of ATAF1 co-expressors were significantly enriched for ATAF1 binding sites, and TTGCGTA was identified in the promoter of the key abscisic acid (ABA) phytohormone biosynthetic gene NCED3. ChIP-qPCR and expression analysis showed that ATAF1 binding to the NCED3 promoter correlated with increased NCED3 expression and ABA hormone levels. These results indicate that ATAF1 regulates ABA biosynthesis.
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Key Words
- ABA, abscisic acid
- ATAF1, Arabidopsis thaliana activating factor 1
- Abscisic acid biosynthesis
- Arabidopsis
- ChIP, chromatin-immunoprecipitation
- DBD, DNA-binding domain
- DNA-binding
- NAC transcription factor
- NAC, NAM, ATAF1/2, CUC2
- NCED3, 9-cis-epoxycarotenoid dioxygenase-3
- PBM, protein-binding microarrays
- PWM, position weight matrix
- SnRK, Sucrose nonfermenting 1(SNF1)-related serine/threonine-protein kinase
- TF, transcription factor
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Affiliation(s)
- Michael Krogh Jensen
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Søren Lindemose
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Federico de Masi
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Julia J. Reimer
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Michael Nielsen
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Venura Perera
- School of Biosciences, University of Exeter, Exeter EX4 4QD, United Kingdom
| | - Chris T. Workman
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Franziska Turck
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Murray R. Grant
- School of Biosciences, University of Exeter, Exeter EX4 4QD, United Kingdom
| | - John Mundy
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Morten Petersen
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Karen Skriver
- Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
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45
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Reece-Hoyes JS, Pons C, Diallo A, Mori A, Shrestha S, Kadreppa S, Nelson J, Diprima S, Dricot A, Lajoie BR, Ribeiro PSM, Weirauch MT, Hill DE, Hughes TR, Myers CL, Walhout AJM. Extensive rewiring and complex evolutionary dynamics in a C. elegans multiparameter transcription factor network. Mol Cell 2013; 51:116-27. [PMID: 23791784 DOI: 10.1016/j.molcel.2013.05.018] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 03/28/2013] [Accepted: 05/15/2013] [Indexed: 10/26/2022]
Abstract
Gene duplication results in two identical paralogs that diverge through mutation, leading to loss or gain of interactions with other biomolecules. Here, we comprehensively characterize such network rewiring for C. elegans transcription factors (TFs) within and across four newly delineated molecular networks. Remarkably, we find that even highly similar TFs often have different interaction degrees and partners. In addition, we find that most TF families have a member that is highly connected in multiple networks. Further, different TF families have opposing correlations between network connectivity and phylogenetic age, suggesting that they are subject to different evolutionary pressures. Finally, TFs that have similar partners in one network generally do not in another, indicating a lack of pressure to retain cross-network similarity. Our multiparameter analyses provide unique insights into the evolutionary dynamics that shaped TF networks.
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46
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Reinke V, Krause M, Okkema P. Transcriptional regulation of gene expression in C. elegans. ACTA ACUST UNITED AC 2013:1-34. [PMID: 23801596 DOI: 10.1895/wormbook.1.45.2] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Protein coding gene sequences are converted to mRNA by the highly regulated process of transcription. The precise temporal and spatial control of transcription for many genes is an essential part of development in metazoans. Thus, understanding the molecular mechanisms underlying transcriptional control is essential to understanding cell fate determination during embryogenesis, post-embryonic development, many environmental interactions, and disease-related processes. Studies of transcriptional regulation in C. elegans exploit its genomic simplicity and physical characteristics to define regulatory events with single-cell and minute-time-scale resolution. When combined with the genetics of the system, C. elegans offers a unique and powerful vantage point from which to study how chromatin-associated proteins and their modifications interact with transcription factors and their binding sites to yield precise control of gene expression through transcriptional regulation.
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Affiliation(s)
- Valerie Reinke
- Department of Genetics, Yale University, New Haven, CT 06520, USA.
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47
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Jiang B, Liu JS, Bulyk ML. Bayesian hierarchical model of protein-binding microarray k-mer data reduces noise and identifies transcription factor subclasses and preferred k-mers. ACTA ACUST UNITED AC 2013; 29:1390-8. [PMID: 23559638 DOI: 10.1093/bioinformatics/btt152] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
MOTIVATION Sequence-specific transcription factors (TFs) regulate the expression of their target genes through interactions with specific DNA-binding sites in the genome. Data on TF-DNA binding specificities are essential for understanding how regulatory specificity is achieved. RESULTS Numerous studies have used universal protein-binding microarray (PBM) technology to determine the in vitro binding specificities of hundreds of TFs for all possible 8 bp sequences (8mers). We have developed a Bayesian analysis of variance (ANOVA) model that decomposes these 8mer data into background noise, TF familywise effects and effects due to the particular TF. Adjusting for background noise improves PBM data quality and concordance with in vivo TF binding data. Moreover, our model provides simultaneous identification of TF subclasses and their shared sequence preferences, and also of 8mers bound preferentially by individual members of TF subclasses. Such results may aid in deciphering cis-regulatory codes and determinants of protein-DNA binding specificity. AVAILABILITY AND IMPLEMENTATION Source code, compiled code and R and Python scripts are available from http://thebrain.bwh.harvard.edu/hierarchicalANOVA. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Bo Jiang
- Department of Statistics, Harvard University, Cambridge, MA 02138, USA.
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48
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Genomic regions flanking E-box binding sites influence DNA binding specificity of bHLH transcription factors through DNA shape. Cell Rep 2013; 3:1093-104. [PMID: 23562153 DOI: 10.1016/j.celrep.2013.03.014] [Citation(s) in RCA: 218] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Revised: 02/12/2013] [Accepted: 03/12/2013] [Indexed: 01/07/2023] Open
Abstract
DNA sequence is a major determinant of the binding specificity of transcription factors (TFs) for their genomic targets. However, eukaryotic cells often express, at the same time, TFs with highly similar DNA binding motifs but distinct in vivo targets. Currently, it is not well understood how TFs with seemingly identical DNA motifs achieve unique specificities in vivo. Here, we used custom protein-binding microarrays to analyze TF specificity for putative binding sites in their genomic sequence context. Using yeast TFs Cbf1 and Tye7 as our case studies, we found that binding sites of these bHLH TFs (i.e., E-boxes) are bound differently in vitro and in vivo, depending on their genomic context. Computational analyses suggest that nucleotides outside E-box binding sites contribute to specificity by influencing the three-dimensional structure of DNA binding sites. Thus, the local shape of target sites might play a widespread role in achieving regulatory specificity within TF families.
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49
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Jankowski A, Szczurek E, Jauch R, Tiuryn J, Prabhakar S. Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers. Genome Res 2013; 23:1307-18. [PMID: 23554463 PMCID: PMC3730104 DOI: 10.1101/gr.154922.113] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The binding of transcription factors (TFs) to their specific motifs in genomic regulatory regions is commonly studied in isolation. However, in order to elucidate the mechanisms of transcriptional regulation, it is essential to determine which TFs bind DNA cooperatively as dimers and to infer the precise nature of these interactions. So far, only a small number of such dimeric complexes are known. Here, we present an algorithm for predicting cell-type–specific TF–TF dimerization on DNA on a large scale, using DNase I hypersensitivity data from 78 human cell lines. We represented the universe of possible TF complexes by their corresponding motif complexes, and analyzed their occurrence at cell-type–specific DNase I hypersensitive sites. Based on ∼1.4 billion tests for motif complex enrichment, we predicted 603 highly significant cell-type–specific TF dimers, the vast majority of which are novel. Our predictions included 76% (19/25) of the known dimeric complexes and showed significant overlap with an experimental database of protein–protein interactions. They were also independently supported by evolutionary conservation, as well as quantitative variation in DNase I digestion patterns. Notably, the known and predicted TF dimers were almost always highly compact and rigidly spaced, suggesting that TFs dimerize in close proximity to their partners, which results in strict constraints on the structure of the DNA-bound complex. Overall, our results indicate that chromatin openness profiles are highly predictive of cell-type–specific TF–TF interactions. Moreover, cooperative TF dimerization seems to be a widespread phenomenon, with multiple TF complexes predicted in most cell types.
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Affiliation(s)
- Aleksander Jankowski
- Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore
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50
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Xu W, Grain D, Le Gourrierec J, Harscoët E, Berger A, Jauvion V, Scagnelli A, Berger N, Bidzinski P, Kelemen Z, Salsac F, Baudry A, Routaboul JM, Lepiniec L, Dubos C. Regulation of flavonoid biosynthesis involves an unexpected complex transcriptional regulation of TT8 expression, in Arabidopsis. THE NEW PHYTOLOGIST 2013; 198:59-70. [PMID: 23398515 DOI: 10.1111/nph.12142] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Accepted: 12/11/2012] [Indexed: 05/20/2023]
Abstract
TT8/bHLH042 is a key regulator of anthocyanins and proanthocyanidins (PAs) biosynthesis in Arabidopsis thaliana. TT8 transcriptional activity has been studied extensively, and relies on its ability to form, with several R2R3-MYB and TTG1 (WD-Repeat protein), different MYB-bHLH-WDR (MBW) protein complexes. By contrast, little is known on how TT8 expression is itself regulated. Transcriptional regulation of TT8 expression was studied using molecular, genetic and biochemical approaches. Functional dissection of the TT8 promoter revealed its modular structure. Two modules were found to specifically drive TT8 promoter activity in PA- and anthocyanin-accumulating cells, by differentially integrating the signals issued from different regulators, in a spatio-temporal manner. Interestingly, this regulation involves at least six different MBW complexes, and an unpredicted positive feedback regulatory loop between TT8 and TTG2. Moreover, the results suggest that some putative new regulators remain to be discovered. Finally, specific cis-regulatory elements through which TT8 expression is regulated were identified and characterized. Together, these results provide a molecular model consistent with the specific and highly regulated expression of TT8. They shed new light into the transcriptional regulation of flavonoid biosynthesis and provide new clues and tools for further investigation in Arabidopsis and other plant species.
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Affiliation(s)
- Wenjia Xu
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Damaris Grain
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - José Le Gourrierec
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Erwana Harscoët
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Adeline Berger
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Vincent Jauvion
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Aurélie Scagnelli
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Nathalie Berger
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Przemyslaw Bidzinski
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Zsolt Kelemen
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Fabien Salsac
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Antoine Baudry
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Jean-Marc Routaboul
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Loïc Lepiniec
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
| | - Christian Dubos
- INRA, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
- AgroParisTech, Institut Jean-Pierre Bourgin, Saclay Plant Sciences, UMR1318, RD10, F-78026, Versailles, France
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