Unveiling axolotl transcriptome for tissue regeneration with high-resolution annotation via long-read sequencing

被引:1
|
作者
Qin, Tian [1 ,2 ,4 ,5 ]
Han, Jie [2 ,3 ,4 ]
Fan, Chunmei [2 ,3 ,4 ,5 ,6 ]
Sun, Heng [7 ]
Rauf, Naveed [2 ,3 ,4 ,5 ,8 ]
Wang, Tingzhang [9 ]
Yin, Zi [1 ,2 ,4 ,5 ]
Chen, Xiao [2 ,3 ,4 ,5 ]
机构
[1] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Orthoped Surg, Hangzhou, Peoples R China
[2] Zhejiang Univ, Liangzhu Lab, Sch Med, Hangzhou, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Sports Med & Orthoped Surg, Hangzhou, Peoples R China
[4] Zhejiang Univ, Sch Med, Dr Li Dak Sum & Yip Yio Chin Ctr Stem Cells & Rege, Hangzhou, Peoples R China
[5] China Orthoped Regenerat Med Grp CORMed, Hangzhou, Peoples R China
[6] Hangzhou City Univ, Sch Med, Dept Clin Med, Key Lab Novel Targets & Drug Study Neural Repair Z, Hangzhou, Zhejiang, Peoples R China
[7] Soochow Univ, Affiliated Hosp 1, Orthoped Inst, Sch Basic Med Sci,Suzhou Med Coll,Med 3D Printing, Suzhou 215000, Jiangsu, Peoples R China
[8] Zhejiang Univ, Sch Med, Key Lab Tissue Engn & Regenerat Med Zhejiang Prov, Hangzhou 310000, Peoples R China
[9] Key Lab Microbial Technol & Bioinformat Zhejiang, Hangzhou, Peoples R China
关键词
Axolotl; Long-read sequencing; Regeneration; Novel transcribed regions; Alternative splicing; RNA; GENERATION; EVOLUTION; ALIGNMENT; DATABASE; PROGRAM; GENE;
D O I
10.1016/j.csbj.2024.08.014
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Axolotls are known for their remarkable regeneration ability. Exploring their transcriptome provides insight into regenerative mechanisms. However, the current annotation of the axolotl transcriptome is limited, leaving the role of unannotated transcripts in regeneration unknown. To discourse this challenge, we exploited long-read sequencing technology, which enables direct observation of full-length RNA transcripts, greatly enhancing the coverage and accuracy of axolotl transcriptome annotation. By utilizing this method, we identified 222 novel gene loci and 4775 novel transcripts, which were quantified using short-read sequencing data. Through the inclusive analysis, we discovered novel homologs, potential functional proteins, noncoding RNAs, and alternative splicing events in key regeneration pathways. In particular, we identified novel transcripts with high protein- coding potential implicated in cell cycle regulation and musculoskeletal development, and regeneration were identified. Interestingly, alternative splice variants were also detected across diverse pathways critical to regeneration. This specifies that these novel transcripts potentially play vital roles underpinning the robust regenerative capacities of axolotls. Single-cell transcriptomic analysis further revealed these isoforms to predominantly exist in axolotl limb chondrocytes and mature tissue cell populations. Overall, the findings significantly advanced consideration of the axolotl transcriptome and provided a new perspective for understanding the mechanisms of regenerative abilities of axolotls.
引用
收藏
页码:3186 / 3198
页数:13
相关论文
共 50 条
  • [1] High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing
    Qiao, Yunbo
    Ren, Chao
    Huang, Shisheng
    Yuan, Jie
    Liu, Xingchen
    Fan, Jiao
    Lin, Jianxiang
    Wu, Susu
    Chen, Qiuzhen
    Bo, Xiaochen
    Li, Xiangyang
    Huang, Xingxu
    Liu, Zhen
    Shu, Wenjie
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [2] High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing
    Yunbo Qiao
    Chao Ren
    Shisheng Huang
    Jie Yuan
    Xingchen Liu
    Jiao Fan
    Jianxiang Lin
    Susu Wu
    Qiuzhen Chen
    Xiaochen Bo
    Xiangyang Li
    Xingxu Huang
    Zhen Liu
    Wenjie Shu
    Nature Communications, 11
  • [3] High resolution annotation of zebrafish transcriptome using long-read sequencing
    Nudelman, German
    Frasca, Antonio
    Kent, Brandon
    Sadler, Kirsten C.
    Sealfon, Stuart C.
    Walsh, Martin J.
    Zaslavsky, Elena
    GENOME RESEARCH, 2018, 28 (09) : 1415 - 1425
  • [4] High-Resolution Transcriptome Analysis with Long-Read RNA Sequencing
    Cho, Hyunghoon
    Davis, Joe
    Li, Xin
    Smith, Kevin S.
    Battle, Alexis
    Montgomery, Stephen B.
    PLOS ONE, 2014, 9 (09):
  • [5] Author Correction: High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing
    Yunbo Qiao
    Chao Ren
    Shisheng Huang
    Jie Yuan
    Xingchen Liu
    Jiao Fan
    Jianxiang Lin
    Susu Wu
    Qiuzhen Chen
    Xiaochen Bo
    Xiangyang Li
    Xingxu Huang
    Zhen Liu
    Wenjie Shu
    Nature Communications, 12
  • [6] High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing (vol 11, 2653, 2020)
    Qiao, Yunbo
    Ren, Chao
    Huang, Shisheng
    Yuan, Jie
    Liu, Xingchen
    Fan, Jiao
    Lin, Jianxiang
    Wu, Susu
    Chen, Qiuzhen
    Bo, Xiaochen
    Li, Xiangyang
    Huang, Xingxu
    Liu, Zhen
    Shu, Wenjie
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [7] Long-Read Annotation: Automated Eukaryotic Genome Annotation Based on Long-Read cDNA Sequencing
    Cook, David E.
    Valle-Inclan, Jose Espejo
    Pajoro, Alice
    Rovenich, Hanna
    Thomma, Bart P. H. J.
    Faino, Luigi
    PLANT PHYSIOLOGY, 2019, 179 (01) : 38 - 54
  • [8] Long-Read Sequencing Annotation of the Transcriptome in DNA-PK Inactivated Cells
    Song, Liwei
    Yu, Mengjun
    Jin, Renjing
    Gu, Meng
    Wang, Ziyu
    Hou, Dailun
    Xu, Shaofa
    Wang, Jinghui
    Ma, Teng
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [9] Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing
    Wang, Bo
    Tseng, Elizabeth
    Regulski, Michael
    Clark, Tyson A.
    Hon, Ting
    Jiao, Yinping
    Lu, Zhenyuan
    Olson, Andrew
    Stein, Joshua C.
    Ware, Doreen
    NATURE COMMUNICATIONS, 2016, 7
  • [10] Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing
    Bo Wang
    Elizabeth Tseng
    Michael Regulski
    Tyson A Clark
    Ting Hon
    Yinping Jiao
    Zhenyuan Lu
    Andrew Olson
    Joshua C. Stein
    Doreen Ware
    Nature Communications, 7