Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer
Background. The present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC). Methods. tRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tis...
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| description | Background. The present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC). Methods. tRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tissues were conducted by tRNA-derived small RNA fragment (tRF) and tRNA half (tiRNA) sequencing. The differentially expressed tRFs and tiRNAs between HGSOC and paired adjacent normal samples were screened. The targeted genes of differentially expressed tRFs and tiRNAs were screened. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) of target genes of tRFs and tiRNAs were analyzed. Results. There are a total of 20 significantly upregulated and 15 significantly downregulated tRFs and tiRNAs between the cancer group and the paracarcinoma group. The upregulated tRFs and tiRNAs are mucin-type O-glycan biosynthesis, glycosphingolipid biosynthesis, the glucagon signaling pathway, the AMPK signaling pathway, maturity-onset diabetes of the young, glycosphingolipid biosynthesis, the insulin signaling pathway, insulin resistance, leukocyte transendothelial migration, starch, and sucrose metabolism. The downregulated tRFs and tiRNAs are other glycan degradation, vitamin digestion and absorption, fatty acid elongation, and biosynthesis of unsaturated fatty acids. Conclusions. There are significantly expressed tRFs and tiRNAs in HGSOC tissues, and these may provide potential diagnostic biomarkers and therapeutic targets for HGSOC. |
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The present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC). Methods. tRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tissues were conducted by tRNA-derived small RNA fragment (tRF) and tRNA half (tiRNA) sequencing. The differentially expressed tRFs and tiRNAs between HGSOC and paired adjacent normal samples were screened. The targeted genes of differentially expressed tRFs and tiRNAs were screened. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) of target genes of tRFs and tiRNAs were analyzed. Results. There are a total of 20 significantly upregulated and 15 significantly downregulated tRFs and tiRNAs between the cancer group and the paracarcinoma group. The upregulated tRFs and tiRNAs are mucin-type O-glycan biosynthesis, glycosphingolipid biosynthesis, the glucagon signaling pathway, the AMPK signaling pathway, maturity-onset diabetes of the young, glycosphingolipid biosynthesis, the insulin signaling pathway, insulin resistance, leukocyte transendothelial migration, starch, and sucrose metabolism. The downregulated tRFs and tiRNAs are other glycan degradation, vitamin digestion and absorption, fatty acid elongation, and biosynthesis of unsaturated fatty acids. Conclusions. There are significantly expressed tRFs and tiRNAs in HGSOC tissues, and these may provide potential diagnostic biomarkers and therapeutic targets for HGSOC.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2021/5594081</identifier><identifier>PMID: 33860037</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Aged ; Algorithms ; Biomarkers ; Biosynthesis ; Cancer ; Cancer therapies ; Cystadenocarcinoma, Serous - genetics ; Cystadenocarcinoma, Serous - pathology ; Derivatives ; Development and progression ; Diabetes mellitus ; Down-Regulation - genetics ; Elongation ; Encyclopedias ; Fatty acids ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Ontology ; Gene Regulatory Networks ; Genes ; Genetic aspects ; Genetic transcription ; Genomes ; Glucagon ; Glycan ; Health aspects ; Humans ; Insulin ; Insulin resistance ; Leukocyte migration ; Leukocytes ; Metabolism ; Middle Aged ; Molecular Sequence Annotation ; Mucin ; Neoplasm Grading ; Oncology, Experimental ; Ovarian cancer ; Ovarian Neoplasms - genetics ; Ovarian Neoplasms - pathology ; Pathogenesis ; Physiological aspects ; Principal components analysis ; Ribonucleic acid ; RNA ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; RNA, Transfer - genetics ; RNA, Transfer - metabolism ; Roles ; Signal transduction ; Signaling ; Starch ; Statistical analysis ; Sucrose ; Therapeutic targets ; Transcription ; Transfer RNA ; tRNA ; Up-Regulation - genetics</subject><ispartof>BioMed research international, 2021, Vol.2021, p.5594081-17</ispartof><rights>Copyright © 2021 Buze Chen et al.</rights><rights>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>Copyright © 2021 Buze Chen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2021 Buze Chen et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-779a83b11fc6954d5e3c19c39810de24aecadd210b8121ef36bd465a32291a583</citedby><cites>FETCH-LOGICAL-c504t-779a83b11fc6954d5e3c19c39810de24aecadd210b8121ef36bd465a32291a583</cites><orcidid>0000-0003-2608-6570 ; 0000-0001-5839-0804</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028742/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028742/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33860037$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ozgu-Erdinc, A.Seval</contributor><contributor>ASeval Ozgu-Erdinc</contributor><creatorcontrib>Chen, Buze</creatorcontrib><creatorcontrib>Liu, Sicong</creatorcontrib><creatorcontrib>Wang, Haihong</creatorcontrib><creatorcontrib>Li, Guilin</creatorcontrib><creatorcontrib>Lu, Xiaoyuan</creatorcontrib><creatorcontrib>Xu, Hao</creatorcontrib><title>Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Background. The present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC). Methods. tRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tissues were conducted by tRNA-derived small RNA fragment (tRF) and tRNA half (tiRNA) sequencing. The differentially expressed tRFs and tiRNAs between HGSOC and paired adjacent normal samples were screened. The targeted genes of differentially expressed tRFs and tiRNAs were screened. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) of target genes of tRFs and tiRNAs were analyzed. Results. There are a total of 20 significantly upregulated and 15 significantly downregulated tRFs and tiRNAs between the cancer group and the paracarcinoma group. The upregulated tRFs and tiRNAs are mucin-type O-glycan biosynthesis, glycosphingolipid biosynthesis, the glucagon signaling pathway, the AMPK signaling pathway, maturity-onset diabetes of the young, glycosphingolipid biosynthesis, the insulin signaling pathway, insulin resistance, leukocyte transendothelial migration, starch, and sucrose metabolism. The downregulated tRFs and tiRNAs are other glycan degradation, vitamin digestion and absorption, fatty acid elongation, and biosynthesis of unsaturated fatty acids. Conclusions. There are significantly expressed tRFs and tiRNAs in HGSOC tissues, and these may provide potential diagnostic biomarkers and therapeutic targets for HGSOC.</description><subject>Aged</subject><subject>Algorithms</subject><subject>Biomarkers</subject><subject>Biosynthesis</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cystadenocarcinoma, Serous - genetics</subject><subject>Cystadenocarcinoma, Serous - pathology</subject><subject>Derivatives</subject><subject>Development and progression</subject><subject>Diabetes mellitus</subject><subject>Down-Regulation - genetics</subject><subject>Elongation</subject><subject>Encyclopedias</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Ontology</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic transcription</subject><subject>Genomes</subject><subject>Glucagon</subject><subject>Glycan</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Leukocyte migration</subject><subject>Leukocytes</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Molecular Sequence Annotation</subject><subject>Mucin</subject><subject>Neoplasm Grading</subject><subject>Oncology, Experimental</subject><subject>Ovarian cancer</subject><subject>Ovarian Neoplasms - genetics</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Pathogenesis</subject><subject>Physiological aspects</subject><subject>Principal components analysis</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>RNA, Transfer - genetics</subject><subject>RNA, Transfer - metabolism</subject><subject>Roles</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Starch</subject><subject>Statistical analysis</subject><subject>Sucrose</subject><subject>Therapeutic targets</subject><subject>Transcription</subject><subject>Transfer RNA</subject><subject>tRNA</subject><subject>Up-Regulation - genetics</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kktvEzEUhUcIRKvSHWtkiQ0SDPU79gYpSl9IFUVQ1pZj30lcTexgZwJs-O04mhAei3pjy_587HPvaZrnBL8lRIgziik5E0JzrMij5pgywltJOHl8WDN21JyWco_rUERiLZ82R4wpiTGbHDc_z0PXQYa4CbZHF9_XGUoJKaKPOXWhh4Js9OhyiG4z7oIP4zJ16C7bWOpt9OnDtD2HHLZQ2WwXq6pXUIjoOiyW7VW2HtBnyGko6HZrc7ARzWx0kJ81TzrbFzjdzyfNl8uLu9l1e3N79X42vWmdwHzTTibaKjYnpHNSC-4FMEe0Y1oR7IFyC856TwmeK0IJdEzOPZfCMko1sUKxk-bdqLse5ivwrv4v296sc1jZ_MMkG8y_JzEszSJtjcJUTTitAq_2Ajl9HaBszCoUB31vI1RbhgrCha6lFxV9-R96n4Ycq70dVRvAGeV_qIXtwYTYpfqu24maqdRSEyU1fphSnNbO0527NyPlciolQ3cwRrDZ5cTscmL2Oan4i7-LcYB_p6ICr0dgGaK338LDcr8ApUHDCg</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Chen, Buze</creator><creator>Liu, Sicong</creator><creator>Wang, Haihong</creator><creator>Li, Guilin</creator><creator>Lu, Xiaoyuan</creator><creator>Xu, Hao</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2608-6570</orcidid><orcidid>https://orcid.org/0000-0001-5839-0804</orcidid></search><sort><creationdate>2021</creationdate><title>Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer</title><author>Chen, Buze ; Liu, Sicong ; Wang, Haihong ; Li, Guilin ; Lu, Xiaoyuan ; Xu, Hao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-779a83b11fc6954d5e3c19c39810de24aecadd210b8121ef36bd465a32291a583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>Biomarkers</topic><topic>Biosynthesis</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cystadenocarcinoma, Serous - genetics</topic><topic>Cystadenocarcinoma, Serous - pathology</topic><topic>Derivatives</topic><topic>Development and progression</topic><topic>Diabetes mellitus</topic><topic>Down-Regulation - genetics</topic><topic>Elongation</topic><topic>Encyclopedias</topic><topic>Fatty acids</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Ontology</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic transcription</topic><topic>Genomes</topic><topic>Glucagon</topic><topic>Glycan</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Leukocyte migration</topic><topic>Leukocytes</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Molecular Sequence Annotation</topic><topic>Mucin</topic><topic>Neoplasm Grading</topic><topic>Oncology, Experimental</topic><topic>Ovarian cancer</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Pathogenesis</topic><topic>Physiological aspects</topic><topic>Principal components analysis</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>RNA, Transfer - genetics</topic><topic>RNA, Transfer - metabolism</topic><topic>Roles</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Starch</topic><topic>Statistical analysis</topic><topic>Sucrose</topic><topic>Therapeutic targets</topic><topic>Transcription</topic><topic>Transfer RNA</topic><topic>tRNA</topic><topic>Up-Regulation - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Buze</creatorcontrib><creatorcontrib>Liu, Sicong</creatorcontrib><creatorcontrib>Wang, Haihong</creatorcontrib><creatorcontrib>Li, Guilin</creatorcontrib><creatorcontrib>Lu, Xiaoyuan</creatorcontrib><creatorcontrib>Xu, Hao</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Buze</au><au>Liu, Sicong</au><au>Wang, Haihong</au><au>Li, Guilin</au><au>Lu, Xiaoyuan</au><au>Xu, Hao</au><au>Ozgu-Erdinc, A.Seval</au><au>ASeval Ozgu-Erdinc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><spage>5594081</spage><epage>17</epage><pages>5594081-17</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Background. The present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC). Methods. tRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tissues were conducted by tRNA-derived small RNA fragment (tRF) and tRNA half (tiRNA) sequencing. The differentially expressed tRFs and tiRNAs between HGSOC and paired adjacent normal samples were screened. The targeted genes of differentially expressed tRFs and tiRNAs were screened. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) of target genes of tRFs and tiRNAs were analyzed. Results. There are a total of 20 significantly upregulated and 15 significantly downregulated tRFs and tiRNAs between the cancer group and the paracarcinoma group. The upregulated tRFs and tiRNAs are mucin-type O-glycan biosynthesis, glycosphingolipid biosynthesis, the glucagon signaling pathway, the AMPK signaling pathway, maturity-onset diabetes of the young, glycosphingolipid biosynthesis, the insulin signaling pathway, insulin resistance, leukocyte transendothelial migration, starch, and sucrose metabolism. The downregulated tRFs and tiRNAs are other glycan degradation, vitamin digestion and absorption, fatty acid elongation, and biosynthesis of unsaturated fatty acids. Conclusions. There are significantly expressed tRFs and tiRNAs in HGSOC tissues, and these may provide potential diagnostic biomarkers and therapeutic targets for HGSOC.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>33860037</pmid><doi>10.1155/2021/5594081</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-2608-6570</orcidid><orcidid>https://orcid.org/0000-0001-5839-0804</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Algorithms Biomarkers Biosynthesis Cancer Cancer therapies Cystadenocarcinoma, Serous - genetics Cystadenocarcinoma, Serous - pathology Derivatives Development and progression Diabetes mellitus Down-Regulation - genetics Elongation Encyclopedias Fatty acids Female Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Ontology Gene Regulatory Networks Genes Genetic aspects Genetic transcription Genomes Glucagon Glycan Health aspects Humans Insulin Insulin resistance Leukocyte migration Leukocytes Metabolism Middle Aged Molecular Sequence Annotation Mucin Neoplasm Grading Oncology, Experimental Ovarian cancer Ovarian Neoplasms - genetics Ovarian Neoplasms - pathology Pathogenesis Physiological aspects Principal components analysis Ribonucleic acid RNA RNA, Messenger - genetics RNA, Messenger - metabolism RNA, Transfer - genetics RNA, Transfer - metabolism Roles Signal transduction Signaling Starch Statistical analysis Sucrose Therapeutic targets Transcription Transfer RNA tRNA Up-Regulation - genetics |
| title | Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer |
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