AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (2.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Article | Open Access

Transcript shortening via alternative polyadenylation promotes gene expression during fracture healing

Deepak Kumar Khajuria1,2Irena Nowak1,2Ming Leung3Vengadeshprabhu Karuppagounder1,2Yuka Imamura3,4Christopher C. Norbury5Fadia Kamal1,2,4Reyad A. Elbarbary1,2,6,7 ( )
Department of Orthopaedics and Rehabilitation, The Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
Center for Orthopaedic Research and Translational Science (CORTS), The Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
Institute for Personalized Medicine, Penn State College of Medicine, Hershey, PA 17033, USA
Department of Pharmacology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
Department of Microbiology and Immunology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
Show Author Information

Abstract

Maturation of the 3′ end of almost all eukaryotic messenger RNAs (mRNAs) requires cleavage and polyadenylation. Most mammalian mRNAs are polyadenylated at different sites within the last exon, generating alternative polyadenylation (APA) isoforms that have the same coding region but distinct 3′ untranslated regions (UTRs). The 3′UTR contains motifs that regulate mRNA metabolism; thus, changing the 3′UTR length via APA can significantly affect gene expression. Endochondral ossification is a central process in bone healing, but the impact of APA on gene expression during this process is unknown. Here, we report the widespread occurrence of APA, which impacts multiple pathways that are known to participate in bone healing. Importantly, the progression of endochondral ossification involves global 3′UTR shortening, which is coupled with an increased abundance of shortened transcripts relative to other transcripts; these results highlight the role of APA in promoting gene expression during endochondral bone formation. Our mechanistic studies of transcripts that undergo APA in the fracture callus revealed an intricate regulatory network in which APA enhances the expression of the collagen, type Ⅰ, alpha 1 (Col1a1) and Col1a2 genes, which encode the 2 subunits of the abundantly expressed protein collagen 1. APA exerts this effect by shortening the 3′UTRs of the Col1a1 and Col1a2 mRNAs, thus removing the binding sites of miR-29a-3p, which would otherwise strongly promote the degradation of both transcripts. Taken together, our study is the first to characterize the crucial roles of APA in regulating the 3′UTR landscape and modulating gene expression during fracture healing.

References

1

Claes, L., Recknagel, S. & Ignatius, A. Fracture healing under healthy and inflammatory conditions. Nat. Rev. Rheumatol. 8, 133–143 (2012).

2

Bahney, C. S. et al. Cellular biology of fracture healing. J. Orthop. Res. 37, 35–50 (2019).

3

Einhorn, T. A. & Gerstenfeld, L. C. Fracture healing: mechanisms and interventions. Nat. Rev. Rheumatol. 11, 45–54 (2015).

4

Richard, P. & Manley, J. L. Transcription termination by nuclear RNA polymerases. Genes Dev. 23, 1247–1269 (2009).

5

Shi, Y. & Manley, J. L. The end of the message: multiple protein-RNA interactions define the mRNA polyadenylation site. Genes Dev. 29, 889–897 (2015).

6

Proudfoot, N. J. Transcriptional termination in mammals: stopping the RNA polymerase Ⅱ juggernaut. Science 352, aad9926 (2016).

7

Tian, B. & Manley, J. L. Alternative polyadenylation of mRNA precursors. Nat. Rev. Mol. Cell Biol. 18, 18–30 (2017).

8

Gruber, A. J. & Zavolan, M. Alternative cleavage and polyadenylation in health and disease. Nat. Rev. Genet. 20, 599–614 (2019).

9

Derti, A. et al. A quantitative atlas of polyadenylation in five mammals. Genome Res. 22, 1173–1183 (2012).

10

Mayr, C. Evolution and biological roles of alternative 3’UTRs. Trends Cell Biol. 26, 227–237 (2016).

11

Bartel, D. P. Metazoan microRNAs. Cell 173, 20–51 (2018).

12

Ha, M. & Kim, V. N. Regulation of microRNA biogenesis. Nat. Rev. Mol. Cell Biol. 15, 509–524 (2014).

13

Tian, B., Pan, Z. & Lee, J. Y. Widespread mRNA polyadenylation events in introns indicate dynamic interplay between polyadenylation and splicing. Genome Res. 17, 156–165 (2007).

14

Singh, I. et al. Widespread intronic polyadenylation diversifies immune cell transcriptomes. Nat. Commun. 9, 1716 (2018).

15

Xia, Z. et al. Dynamic analyses of alternative polyadenylation from RNA-seq reveal a 3’-UTR landscape across seven tumour types. Nat. Commun. 5, 5274 (2014).

16

The Cancer Genome Atlas Research Network, et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat. Genet. 45, 1113–1120 (2013).

17

Sheppard, S., Lawson, N. D. & Zhu, L. J. Accurate identification of polyadenylation sites from 3’ end deep sequencing using a naive Bayes classifier. Bioinformatics 29, 2564–2571 (2013).

18

Zhang, Y. et al. Alternative polyadenylation: methods, mechanism, function, and role in cancer. J. Exp. Clin. Cancer Res. 40, 51 (2021).

19

Wang, R. & Tian, B. APAlyzer: a bioinformatics package for analysis of alternative polyadenylation isoforms. Bioinformatics 36, 3907–3909 (2020).

20

Wang, R., Nambiar, R., Zheng, D. & Tian, B. PolyA_DB 3 catalogs cleavage and polyadenylation sites identified by deep sequencing in multiple genomes. Nucleic Acids Res. 46, D315–D319 (2018).

21

Wang, R., Zheng, D., Yehia, G. & Tian, B. A compendium of conserved cleavage and polyadenylation events in mammalian genes. Genome Res. 28, 1427–1441 (2018).

22

Nourse, J., Spada, S. & Danckwardt, S. Emerging roles of RNA 3’-end cleavage and polyadenylation in pathogenesis, diagnosis and therapy of human disorders. Biomolecules 10 915 (2020).

23

Khajuria, D. K. et al. Aberrant structure of fibrillar collagen and elevated levels of advanced glycation end products typify delayed fracture healing in the diet-induced obesity mouse model. Bone 137, 115436 (2020).

24

Brown, M. L. et al. Delayed fracture healing and increased callus adiposity in a C57BL/6J murine model of obesity-associated type 2 diabetes mellitus. PLoS One 9, e99656 (2014).

25

Kaback, L. A. et al. Osterix/Sp7 regulates mesenchymal stem cell mediated endochondral ossification. J. Cell Physiol. 214, 173–182 (2008).

26

Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

27

Luo, W., Friedman, M. S., Shedden, K., Hankenson, K. D. & Woolf, P. J. GAGE: generally applicable gene set enrichment for pathway analysis. BMC Bioinforma. 10, 161 (2009).

28

Ge, S. X., Son, E. W. & Yao, R. iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinforma. 19, 534 (2018).

29

Jiao, X. et al. DAVID-WS: a stateful web service to facilitate gene/protein list analysis. Bioinformatics 28, 1805–1806 (2012).

30

San Antonio, J. D., Jacenko, O., Fertala, A. & Orgel, J. Collagen structure-function mapping informs applications for regenerative medicine. Bioengineering 8, 3 (2020).

31

McGeary, S. E. et al. The biochemical basis of microRNA targeting efficacy. Science 366, eaav1741 (2019).

32

Chen, Y. & Wang, X. miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Res. 48, D127–D131 (2020).

33

van Rooij, E. et al. Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis. Proc. Natl. Acad. Sci. USA 105, 13027–13032 (2008).

34

Dey, S. et al. Loss of miR-29a/b1 promotes inflammation and fibrosis in acute pancreatitis. JCI Insight 6, e149539 (2021).

35

Li, Z. et al. Biological functions of miR-29b contribute to positive regulation of osteoblast differentiation. J. Biol. Chem. 284, 15676–15684 (2009).

36

Ulrich, V. et al. Chronic miR-29 antagonism promotes favorable plaque remodeling in atherosclerotic mice. EMBO Mol. Med. 8, 643–653 (2016).

37

Kramer, A., Green, J., Pollard, J. Jr & Tugendreich, S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics 30, 523–530 (2014).

38

Aghajanian, P. & Mohan, S. The art of building bone: emerging role of chondrocyte-to-osteoblast transdifferentiation in endochondral ossification. Bone Res. 6, 19 (2018).

39

Lianoglou, S., Garg, V., Yang, J. L., Leslie, C. S. & Mayr, C. Ubiquitously transcribed genes use alternative polyadenylation to achieve tissue-specific expression. Genes Dev. 27, 2380–2396 (2013).

40

Gruber, A. J. et al. Discovery of physiological and cancer-related regulators of 3’ UTR processing with KAPAC. Genome Biol. 19, 44 (2018).

41

Gruber, A. J., Gypas, F., Riba, A., Schmidt, R. & Zavolan, M. Terminal exon characterization with TECtool reveals an abundance of cell-specific isoforms. Nat. Methods 15, 832–836 (2018).

42

Zhou, H. et al. IRAK2 directs stimulus-dependent nuclear export of inflammatory mRNAs. Elife 6, e29630 (2017).

43

Cushing, L. et al. miR-29 is a major regulator of genes associated with pulmonary fibrosis. Am. J. Respir. Cell Mol. Biol. 45, 287–294 (2011).

44

Hanna, J., Hossain, G. S. & Kocerha, J. The potential for microRNA therapeutics and clinical research. Front. Genet. 10, 478 (2019).

45

Le Bleu, H. K. et al. Extraction of high-quality RNA from human articular cartilage. Anal. Biochem. 518, 134–138 (2017).

46

Kim, D., Langmead, B. & Salzberg, S. L. HISAT: a fast spliced aligner with low memory requirements. Nat. Methods 12, 357–360 (2015).

47

Anders, S., Pyl, P. T. & Huber, W. HTSeq-a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015).

48

Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).

49

Edgar, R., Domrachev, M. & Lash, A. E. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 30, 207–210 (2002).

50

Leclerc, G. J., Leclerc, G. M. & Barredo, J. C. Real-time RT-PCR analysis of mRNA decay: half-life of Beta-actin mRNA in human leukemia CCRF-CEM and Nalm-6 cell lines. Cancer Cell Int. 2, 1 (2002).

Bone Research
Article number: 5
Cite this article:
Khajuria DK, Nowak I, Leung M, et al. Transcript shortening via alternative polyadenylation promotes gene expression during fracture healing. Bone Research, 2023, 11: 5. https://doi.org/10.1038/s41413-022-00236-7

137

Views

8

Downloads

6

Crossref

6

Web of Science

6

Scopus

Altmetrics

Received: 15 June 2022
Revised: 15 September 2022
Accepted: 12 October 2022
Published: 03 January 2023
© The Author(s) 2023

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Return