Linking long noncoding RNAs (lncRNAs) and doping detection

Bonilauri, Bernardo; Dallagiovanna, Bruno

doi:10.1002/dta.2952

Cited by 4 publications

(5 citation statements)

References 48 publications

(86 reference statements)

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“…Omics approaches such as proteomics, 7,10,12,[22][23][24][25] genomics, [7][8][9]11,12,[22][23][24][26][27][28] and metabolomics 1,7,10,12,22,24,25,29,30 have often been used to identify suitable biomarkers. It might be difficult to apply proteomics approaches to horses because comprehensive protein databases for horses do not yet exist, and expressed proteins differ between humans and horses.…”

mentioning

confidence: 99%

Establishment of a post‐race biomarkers database and application of pathway analysis to identify potential biomarkers in post‐race equine plasma

Ohnuma

Uchida

Leung

et al. 2021

Drug Testing and Analysis

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In the context of doping control, conventional direct chemical testing detects only a limited scope of target substances in equine biological samples. To expand the ability to detect doping agents and their detection windows, metabolomics has recently become a common approach for monitoring alteration of biomarkers caused by doping agents in relevant metabolic pathways. In horse racing, remarkable changes in metabolic profiles between the rest state and racing are likely to affect the identification of doping biomarkers. Previously, we reported a limited number of significantly upregulated metabolites after racing, based on a non‐targeted metabolomics approach using out‐of‐competition and post‐race equine plasma samples. In this study, we performed a more thorough analysis of the data set, using pathway analysis to establish a post‐race biomarkers database (PBD) that includes upregulated and downregulated metabolites, their fold changes, and relevant pathways, with the main objective of improving our understanding of changes in physiological status related to horse racing. Statistical analysis of the PBD revealed that two peak combinations of pentadecanoyl carnitine/galactosylglycerol (P/G) and heptadecanoyl carnitine/galactosylglycerol (H/G) could be used as potential biomarkers for the discrimination of the rest and post‐race groups. To demonstrate the applicability of the PBD, we validated the post‐race biomarkers P/G and H/G (highly involved in lipid metabolism) by a single‐blind test. This strategy, which combines establishment of a biomarker database with pathway analysis, represents a powerful tool for discovering potential doping biomarkers in the future.

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confidence: 99%

Establishment of a post‐race biomarkers database and application of pathway analysis to identify potential biomarkers in post‐race equine plasma

Ohnuma

Uchida

Leung

et al. 2021

Drug Testing and Analysis

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“…Long non-coding RNAs (lncRNAs) have emerged as a significant class of regulatory RNA molecules involved in various biological processes, including transcription, splicing, chromatin regulation, X chromosome inactivation, telomere length regulation, cell proliferation, and the self-renewal and differentiation of stem cells. Additionally, lncRNAs have shown promise as specific biomarkers for different conditions and diseases [7][8][9][10][11]. These transcripts exert their regulatory functions both in the nucleus and in the cytoplasm, where they can form complexes with RNA-binding proteins (RBPs) and also regulate transcription, translation, and mRNA stability or degradation [12].…”

Section: Introductionmentioning

confidence: 99%

Unveiling Polysomal Long Non-Coding RNA Expression on the First Day of Adipogenesis and Osteogenesis in Human Adipose-Derived Stem Cells

Bonilauri,

Ribeiro,

Spangenberg

et al. 2024

IJMS

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Understanding the intricate molecular mechanisms governing the fate of human adipose-derived stem cells (hASCs) is essential for elucidating the delicate balance between adipogenic and osteogenic differentiation in both healthy and pathological conditions. Long non-coding RNAs (lncRNAs) have emerged as key regulators involved in lineage commitment and differentiation of stem cells, operating at various levels of gene regulation, including transcriptional, post-transcriptional, and post-translational processes. To gain deeper insights into the role of lncRNAs’ in hASCs’ differentiation, we conducted a comprehensive analysis of the lncRNA transcriptome (RNA-seq) and translatome (polysomal-RNA-seq) during a 24 h period of adipogenesis and osteogenesis. Our findings revealed distinct expression patterns between the transcriptome and translatome during both differentiation processes, highlighting 90 lncRNAs that are exclusively regulated in the polysomal fraction. These findings underscore the significance of investigating lncRNAs associated with ribosomes, considering their unique expression patterns and potential mechanisms of action, such as translational regulation and potential coding capacity for microproteins. Additionally, we identified specific lncRNA gene expression programs associated with adipogenesis and osteogenesis during the early stages of cell differentiation. By shedding light on the expression and potential functions of these polysome-associated lncRNAs, we aim to deepen our understanding of their involvement in the regulation of adipogenic and osteogenic differentiation, ultimately paving the way for novel therapeutic strategies and insights into regenerative medicine.

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“…[26][27][28][29][30] Moreover, lncRNAs have seen clinical use as potential biomarkers for different types of diagnostics due to their tissue/conditionspecific expression. [31][32][33][34] Although skeletal muscle is a complex tissue, several muscle-specific lncRNAs appear to regulate muscle development, normal physiology, and diseased states (e.g. cachexia, muscle atrophy, and wasting, and sarcopenia).…”

Section: Introductionmentioning

confidence: 99%

“…lncRNAs are involved in a plethora of molecular and cellular processes, including chromatin regulation, transcriptional and post‐transcriptional regulation, splicing, nuclear organization, telomere length, X chromosome inactivation, competing and endogenous RNA (ceRNA), as well as cellular processes such as cell maintenance, development, differentiation, pluripotency, immune response, and cancer 26–30 . Moreover, lncRNAs have seen clinical use as potential biomarkers for different types of diagnostics due to their tissue/condition‐specific expression 31–34 . Although skeletal muscle is a complex tissue, several muscle‐specific lncRNAs appear to regulate muscle development, normal physiology, and diseased states (e.g.…”

Section: Introductionmentioning

confidence: 99%

Microproteins in skeletal muscle: hidden keys in muscle physiology

Bonilauri

Dallagiovanna

2021

J cachexia sarcopenia muscle

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Recent advances in the transcriptomics, translatomics, and proteomics have led us to the exciting new world of functional endogenous microproteins. These microproteins have a small size and are derived from small open reading frames (smORFs) of RNAs previously annotated as non-coding (e.g. lncRNAs and circRNAs) as well as from untranslated regions and canonical mRNAs. The presence of these microproteins reveals a much larger translatable portion of the genome, shifting previously defined dogmas and paradigms. These findings affect our view of organisms as a whole, including skeletal muscle tissue. Emerging evidence demonstrates that several smORF-derived microproteins play crucial roles during muscle development (myogenesis), maintenance, and regeneration, as well as lipid and glucose metabolism and skeletal muscle bioenergetics. These microproteins are also involved in processes including physical activity capacity, cellular stress, and muscular-related diseases (i.e. myopathy, cachexia, atrophy, and muscle wasting). Given the role of these small proteins as important key regulators of several skeletal muscle processes, there are rich prospects for the discovery of new microproteins and possible therapies using synthetic microproteins.

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Linking long noncoding RNAs (lncRNAs) and doping detection

Cited by 4 publications

References 48 publications

Establishment of a post‐race biomarkers database and application of pathway analysis to identify potential biomarkers in post‐race equine plasma

Establishment of a post‐race biomarkers database and application of pathway analysis to identify potential biomarkers in post‐race equine plasma

Unveiling Polysomal Long Non-Coding RNA Expression on the First Day of Adipogenesis and Osteogenesis in Human Adipose-Derived Stem Cells

Microproteins in skeletal muscle: hidden keys in muscle physiology

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