Altered expression profile of long non-coding RNAs during heart aging in mice Article Swipe
Xiuxiu Wang
,
Bingjie Hua
,
Meixi Yu
,
Shenzhen Liu
,
Wenya Ma
,
Fengzhi Ding
,
Qi Huang
,
Lai Zhang
,
Chongwei Bi
,
Ye Yuan
,
Mengyu Jin
,
Tianyi Liu
,
Ying Yu
,
Benzhi Cai
,
Baofeng Yang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2478/fzm-2022-0015
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2478/fzm-2022-0015
Objective Long noncoding RNAs (lncRNAs) play an important role in regulating the occurrence and development of cardiovascular diseases. However, the role of lncRNAs in heart aging remains poorly understood. The objective of this study was to identify differentially expressed lncRNAs in the heart of aging mice and elucidate the relevant regulatory pathways of cardiac aging. Materials and methods Echocardiography was used to detect the cardiac function of 18-months (aged) and 3-months (young) old C57BL/6 mice. Microarray analysis was performed to unravel the expression profiles of lncRNAs and mRNAs, and qRT-PCR to verify the highly dysregulated lncRNAs. Results Our results demonstrated that the heart function in aged mice was impaired relative to young ones. Microarray results showed that 155 lncRNAs were upregulated and 37 were downregulated, and 170 mRNAs were significantly upregulated and 44 were remarkably downregulated in aging hearts. Gene ontology analysis indicated that differentially expressed genes are mainly related to immune function, cell proliferation, copper ion response, and cellular cation homeostasis. KEGG pathway analysis showed that the differentially expressed mRNAs are related to cytokine-cytokine receptor interaction, inflammatory mediator regulation of TRP channels, and the NF-kappa B signaling pathway. Conclusion These results imply that the differentially expressed lncRNAs may regulate the development of heart aging. This study provides a new perspective on the potential effects and mechanisms of lncRNAs in heart aging.
Related Topics
Concepts
Microarray
Downregulation and upregulation
Microarray analysis techniques
Biology
Mediator
Long non-coding RNA
KEGG
Gene expression
Cell biology
Gene expression profiling
Function (biology)
Regulation of gene expression
Gene
Bioinformatics
Transcriptome
Genetics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/fzm-2022-0015
- https://sciendo.com/pdf/10.2478/fzm-2022-0015
- OA Status
- diamond
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281253732
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281253732Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2478/fzm-2022-0015Digital Object Identifier
- Title
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Altered expression profile of long non-coding RNAs during heart aging in miceWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-01Full publication date if available
- Authors
-
Xiuxiu Wang, Bingjie Hua, Meixi Yu, Shenzhen Liu, Wenya Ma, Fengzhi Ding, Qi Huang, Lai Zhang, Chongwei Bi, Ye Yuan, Mengyu Jin, Tianyi Liu, Ying Yu, Benzhi Cai, Baofeng YangList of authors in order
- Landing page
-
https://doi.org/10.2478/fzm-2022-0015Publisher landing page
- PDF URL
-
https://sciendo.com/pdf/10.2478/fzm-2022-0015Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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-
diamondOpen access status per OpenAlex
- OA URL
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https://sciendo.com/pdf/10.2478/fzm-2022-0015Direct OA link when available
- Concepts
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Microarray, Downregulation and upregulation, Microarray analysis techniques, Biology, Mediator, Long non-coding RNA, KEGG, Gene expression, Cell biology, Gene expression profiling, Function (biology), Regulation of gene expression, Gene, Bioinformatics, Transcriptome, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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38Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3014772386, https://openalex.org/W2544670169, https://openalex.org/W2149136975, https://openalex.org/W3014674295, https://openalex.org/W1979281574, https://openalex.org/W2169268511, https://openalex.org/W3017117711, https://openalex.org/W2999109892, https://openalex.org/W2579916268, https://openalex.org/W3164342142, https://openalex.org/W2966588009, https://openalex.org/W2054399746, https://openalex.org/W2113741117, https://openalex.org/W2013102287, https://openalex.org/W2500011305, https://openalex.org/W3167913052, https://openalex.org/W3114365705, https://openalex.org/W2973059389, https://openalex.org/W1999746344, https://openalex.org/W1986705163, https://openalex.org/W3117292501, https://openalex.org/W3112660917, https://openalex.org/W3111493023, https://openalex.org/W2923504964, https://openalex.org/W2769746905, https://openalex.org/W2980935873, https://openalex.org/W2005258788, https://openalex.org/W3130491712, https://openalex.org/W3165303698, https://openalex.org/W2978375567, https://openalex.org/W3002056848, https://openalex.org/W3033425011, https://openalex.org/W2774734415, https://openalex.org/W3087857642, https://openalex.org/W2092189581, https://openalex.org/W2062218303, https://openalex.org/W2796037841, https://openalex.org/W3183154475 |
| referenced_works_count | 38 |
| abstract_inverted_index.B | 187 |
| abstract_inverted_index.a | 209 |
| abstract_inverted_index.37 | 123 |
| abstract_inverted_index.44 | 133 |
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| abstract_inverted_index.155 | 118 |
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| abstract_inverted_index.genes | 147 |
| abstract_inverted_index.heart | 25, 43, 103, 204, 221 |
| abstract_inverted_index.imply | 193 |
| abstract_inverted_index.mRNAs | 128, 171 |
| abstract_inverted_index.mice. | 75 |
| abstract_inverted_index.ones. | 113 |
| abstract_inverted_index.study | 34, 207 |
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| abstract_inverted_index.(aged) | 69 |
| abstract_inverted_index.aging. | 55, 205, 222 |
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| abstract_inverted_index.copper | 156 |
| abstract_inverted_index.detect | 63 |
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| abstract_inverted_index.Echocardiography | 59 |
| abstract_inverted_index.cytokine-cytokine | 175 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5112109697 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 15 |
| corresponding_institution_ids | https://openalex.org/I156144747, https://openalex.org/I4210132813 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.06885236 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |