1
|
Ji G, Zhang M, Tu Y, Liu Y, Shan Y, Ju X, Zou J, Shu J, Sheng Z, Li H. Molecular Regulatory Mechanisms in Chicken Feather Follicle Morphogenesis. Genes (Basel) 2023; 14:1646. [PMID: 37628697 PMCID: PMC10454116 DOI: 10.3390/genes14081646] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
In China, the sale of freshly slaughtered chickens is becoming increasingly popular in comparison with that of live chickens, and due to this emerging trend, the skin and feather follicle traits of yellow-feathered broilers have attracted a great deal of research attention. The feather follicle originates from the interaction between the epidermis and dermis in the early embryonic stage. Feather follicle morphogenesis is regulated by the Wnt, ectodysplasin (Eda), epidermal growth factor (EGF), fibroblast growth factor (FGF), bone morphogenetic protein (BMP), sonic hedgehog (Shh), Notch, and other signaling pathways that exist in epithelial and mesenchymal cells. The Wnt pathway is essential for feather follicle and feather morphogenesis. Eda interacts with Wnt to induce FGF expression, which attracts mesenchymal cell movement and aggregates to form feather follicle primordia. BMP acts as an inhibitor of the above signaling pathways to limit the size of the feather tract and distance between neighboring feather primordia in a dose-dependent manner. The Notch/Delta pathway can interact with the FGF pathway to promote feather bud formation. While not a part of the early morphogenesis of feather follicles, Shh and BMP signaling are involved in late feather branching. This review summarizes the roles of miRNAs/lncRNA in the regulation of feather follicle and feather growth and development and suggests topics that need to be solved in a future study. This review focuses on the regulatory mechanisms involved in feather follicle morphogenesis and analyzes the impact of SNP sites on feather follicle traits in poultry. This work may help us to understand the molecular regulatory networks influencing feather follicle growth and provide basic data for poultry carcass quality.
Collapse
Affiliation(s)
- Gaige Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yunjie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yifan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yanju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Xiaojun Ju
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Jianmin Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Jingting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Zhongwei Sheng
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Hua Li
- School of Life Science and Engineering, Foshan University, Foshan 528231, China
| |
Collapse
|
2
|
Martins-da-Silva A, Baroni M, Salomão KB, das Chagas PF, Bonfim-Silva R, Geron L, Cruzeiro GAV, da Silva WA, Corrêa CAP, Carlotti CG, de Paula Queiroz RG, Marie SKN, Brandalise SR, Yunes JA, Scrideli CA, Valera ET, Tone LG. Clinical Prognostic Implications of Wnt Hub Genes Expression in Medulloblastoma. Cell Mol Neurobiol 2023; 43:813-826. [PMID: 35366170 DOI: 10.1007/s10571-022-01217-4] [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: 07/13/2021] [Accepted: 03/22/2022] [Indexed: 11/03/2022]
Abstract
Medulloblastoma is the most common type of pediatric malignant primary brain tumor, and about one-third of patients die due to disease recurrence and most survivors suffer from long-term side effects. MB is clinically, genetically, and epigenetically heterogeneous and subdivided into at least four molecular subgroups: WNT, SHH, Group 3, and Group 4. We evaluated common differentially expressed genes between a Brazilian RNA-seq GSE181293 dataset and microarray GSE85217 dataset cohort of pediatric MB samples using bioinformatics methodology in order to identify hub genes of the molecular subgroups based on PPI network construction, survival and functional analysis. The main finding was the identification of five hub genes from the WNT subgroup that are tumor suppressors, and whose lower expression is related to a worse prognosis for MB patients. Furthermore, the common genes correlated with the five tumor suppressors participate in important pathways and processes for tumor initiation and progression, as well as development and differentiation, and some of them control cell stemness and pluripotency. These genes have not yet been studied within the context of MB, representing new important elements for investigation in the search for therapeutic targets, prognostic markers or for understanding of MB biology.
Collapse
Affiliation(s)
- Andrea Martins-da-Silva
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.
| | - Mirella Baroni
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Karina Bezerra Salomão
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Pablo Ferreira das Chagas
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Ricardo Bonfim-Silva
- Department of Surgery and Anatomy, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Lenisa Geron
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Gustavo Alencastro Veiga Cruzeiro
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Pediatric Oncology, Harvard Medical School - Dana-Farber Cancer Institute, Boston, MA, USA
| | - Wilson Araújo da Silva
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Carolina Alves Pereira Corrêa
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Carlos Gilberto Carlotti
- Department of Surgery and Anatomy, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Rosane Gomes de Paula Queiroz
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | | | | | | | - Carlos Alberto Scrideli
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Elvis Terci Valera
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Luiz Gonzaga Tone
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| |
Collapse
|
3
|
Qiu M, Yu C, Zhu S, Liu S, Peng H, Xiong X, Chen J, Jiang X, Du H, Li Q, Zhang Z, Yang C. RNA sequencing reveals lncRNA-mediated non-mendelian inheritance of feather growth change in chickens. Genes Genomics 2022; 44:1323-1331. [PMID: 36087248 PMCID: PMC9569315 DOI: 10.1007/s13258-022-01304-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 08/07/2022] [Indexed: 11/29/2022]
Abstract
Background Long non-coding RNAs (lncRNAs) play an essential role in biological processes. However, the expression patterns of lncRNAs that regulate the non-Mendelian inheritance feather phenotypes remain unknown. Objective This study aimed to compare the expression profiles of lncRNAs in the follicles of the late-feathering cocks (LC) and late-feathering hens (LH) that followed genetic rules and the early-feathering hen (EH) and early-feathering cock (EC) that did not conform to the genetic laws. Methods We performed RNA sequencing and investigated the differentially expressed lncRNAs (DElncRNAs) between the early- and late-feathering chickens, which function by cis-acting or participate in the competing endogenous RNA (ceRNA) network. Results A total of 53 upregulated and 43 downregulated lncRNAs were identified in EC vs. LC, and 58 upregulated and 109 downregulated lncRNAs were identified in EH vs. LH. The target mRNAs regulated by lncRNAs in cis were enriched in the pentose phosphate pathway, TGF-β signaling pathway and Jak-STAT signaling pathway in EC vs. LC and were associated with the TGF-β signaling pathway, Wnt signaling pathway, p53 signaling pathway and Jak-STAT signaling pathway in EH vs. LH. In addition, the lncRNA-mediated ceRNA regulatory pathways of hair follicle formation were mainly enriched in the TGF-β signaling pathway, Wnt signaling pathway, melanogenesis, and calcium signaling pathways. The levels of ENSGALG00000047626 were significantly higher in the late-feathering chickens than in the early-feathering chickens, which regulated the expression of SSTR2 by gga-miR-1649-5p. Conclusion This study provides a novel molecular mechanism of lncRNA’s response to the feather rate that does not conform to the genetic laws in chickens. Supplementary Information The online version contains supplementary material available at 10.1007/s13258-022-01304-2.
Collapse
Affiliation(s)
- Mohan Qiu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Chunlin Yu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China.,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Xinkang Road, 610066, Chengdu, China
| | - Shiliang Zhu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Siyang Liu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Han Peng
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Xia Xiong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Jialei Chen
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Xiaosong Jiang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Huarui Du
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Qingyun Li
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China
| | - Zengrong Zhang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China.
| | - Chaowu Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, 7 Niusha Road, 610066, Chengdu, China.
| |
Collapse
|
4
|
Yue Z, Lei M, Paus R, Chuong CM. The global regulatory logic of organ regeneration: circuitry lessons from skin and its appendages. Biol Rev Camb Philos Soc 2021; 96:2573-2583. [PMID: 34145718 PMCID: PMC10874616 DOI: 10.1111/brv.12767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 12/17/2022]
Abstract
In organ regeneration, the regulatory logic at a systems level remains largely unclear. For example, what defines the quantitative threshold to initiate regeneration, and when does the regeneration process come to an end? What leads to the qualitatively different responses of regeneration, which restore the original structure, or to repair which only heals a wound? Here we discuss three examples in skin regeneration: epidermal recovery after radiation damage, hair follicle fate choice after chemotherapy damage, and wound-induced feather regeneration. We propose that the molecular regulatory circuitry is of paramount significance in organ regeneration. It is conceivable that defects in these controlling pathways may lead to failed regeneration and/or organ renewal, and understanding the underlying logic could help to identify novel therapeutic strategies.
Collapse
Affiliation(s)
- ZhiCao Yue
- Department of Cell Biology and Medical Genetics, Carson International Cancer Center, Guangdong Key Laboratory for Genome Stability and Disease Prevention, Shenzhen University School of Medicine, Shenzhen, Guangdong, 518060, China
| | - Mingxing Lei
- 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400038, China
| | - Ralf Paus
- Department of Dermatology & Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, 33136, U.S.A
| | - Cheng-Ming Chuong
- Department of Pathology, University of Southern California, Los Angeles, CA, 90033, U.S.A
| |
Collapse
|
5
|
Qiu M, Yang C, Du H, Li Q, Zhang Z, Xiong X, Yu C, Song X, Hu C, Xia B, Yang L, Peng H, Liu L, Jiang X. Whole-genome resequencing reveals aberrant autosomal SNPs affect chicken feathering rate. Anim Biotechnol 2020; 33:884-896. [PMID: 33342337 DOI: 10.1080/10495398.2020.1846545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Previous studies have shown that the feather growth rate of chicks is determined by two alleles located on the sex chromosome Z; however, in chicken production, feathering is usually not consistently controlled by the sex chromosome. To identify whether the feathering rate is related to autosomal inheritance, whole-genome resequencing was performed in eight chickens with slow- and fast-feathering rate. A total of 54,984 autosomal single nucleotide polymorphisms (SNPs) were identified, including 393 and 376 exonic SNPs in slow-feathering and fast-feathering chickens, respectively. Mutated genes were mainly involved in response to stimuli and growth and reproduction processes. Mutated genes related to slow-feathering rate were mainly involved in wingless-type MMTV integration site signaling pathway and mitogen-activated protein kinase signaling pathway, whereas mutated genes associated with fast-feathering rate were primarily enriched in autophagy, calcium signaling pathway, extracellular matrix-receptor interaction, and Focal adhesion processes. Importantly, two SNPs, involved in feather development, were found in the exonic regions of Wnt signaling genes. These results shed new light on the relationship between genetic mutation and feather growth rate from the perspective of autosomal inheritance and may have economic significance in chicken breeding.
Collapse
Affiliation(s)
- Mohan Qiu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Chaowu Yang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Huarui Du
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Qingyun Li
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Zengrong Zhang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Xia Xiong
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Chunlin Yu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xiaoyan Song
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Chenming Hu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Bo Xia
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Li Yang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Han Peng
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Lan Liu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xiaosong Jiang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| |
Collapse
|
6
|
Abstract
Regeneration is the process by which organisms replace lost or damaged tissue, and regenerative capacity can vary greatly among species, tissues and life stages. Tissue regeneration shares certain hallmarks of embryonic development, in that lineage-specific factors can be repurposed upon injury to initiate morphogenesis; however, many differences exist between regeneration and embryogenesis. Recent studies of regenerating tissues in laboratory model organisms - such as acoel worms, frogs, fish and mice - have revealed that chromatin structure, dedicated enhancers and transcriptional networks are regulated in a context-specific manner to control key gene expression programmes. A deeper mechanistic understanding of the gene regulatory networks of regeneration pathways might ultimately enable their targeted reactivation as a means to treat human injuries and degenerative diseases. In this Review, we consider the regeneration of body parts across a range of tissues and species to explore common themes and potentially exploitable elements.
Collapse
Affiliation(s)
- Joseph A Goldman
- Department of Biological Chemistry and Pharmacology, Ohio State University, Columbus, OH, USA.
| | - Kenneth D Poss
- Regeneration Next, Duke University, Durham, NC, USA.
- Department of Cell Biology, Duke University Medical Center, Durham, NC, USA.
| |
Collapse
|