<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>پردیس کشاورزی و منابع طبیعی دانشگاه تهران</PublisherName>
				<JournalTitle>Iranian Journal of animal Science</JournalTitle>
				<Issn>2008-4773</Issn>
				<Volume>56</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Integrative and comparative analysis of transcriptional profiles and competitive endogenous RNA regulatory networks to identify key genes associated with heat stress in broiler chickens</ArticleTitle>
<VernacularTitle>Integrative and comparative analysis of transcriptional profiles and competitive endogenous RNA regulatory networks to identify key genes associated with heat stress in broiler chickens</VernacularTitle>
			<FirstPage>665</FirstPage>
			<LastPage>688</LastPage>
			<ELocationID EIdType="pii">101469</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ijas.2025.391124.654061</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Faezeh</FirstName>
					<LastName>Hesari</LastName>
<Affiliation>Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Alborz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Sadeghi</LastName>
<Affiliation>Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Alborz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Reza</FirstName>
					<LastName>Miraei-Ashtiani</LastName>
<Affiliation>Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Alborz, Iran.</Affiliation>
<Identifier Source="ORCID">0000-0003-3597-4385</Identifier>

</Author>
<Author>
					<FirstName>Farzad</FirstName>
					<LastName>Ghafouri</LastName>
<Affiliation>Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Alborz, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>02</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>Broilers are particularly sensitive to high ambient temperatures, which may have a negative impact on their welfare and production efficiency. The aim of the study was to combine a literature review analysis of transcriptional profiling and a competitive endogenous regulatory network analysis (CERNA) to identify the key messenger and non-coding RNAs involved in the molecular regulation of the cells of the pituitary gland and the brain in heat stress broiler chickens. Overall, two long non-coding RNA, 11 microRNAs and 426 common mRNAs and genes were identified that showed significant differences in expression between the two tissues. From the analysis, 12 major genes (&lt;em&gt;HSP90A1, HSPA5, HSP90B1, HSPA4, HUSY1, AHSA2, ALB, DNAJA1, DNAJA4, HSPA4L, and HSPH1&lt;/em&gt;) were found to be more extensively expressed in broiler chickens under heat stress than in control chickens. In addition, after reconstructing the competitive endogenous RNA regulatory network and the associated candidate modules, the main important metabolic signalling pathways identified were protein-folding chaperones, cellular component organisation, protein-binding to heat shock proteins, the endoplasmic reticulum chaperone complex, and protein-processing signalling pathways in the endoplasmic reticulum. Overall, considering the identified RNAs involved in the ceRNA regulatory network that underlie phenotypic differences in the severity of heat stress, this study may provide new insights into the molecular mechanisms underlying the control of heat stress severity and resistance in broiler chickens.</Abstract>
			<OtherAbstract Language="FA">Broilers are particularly sensitive to high ambient temperatures, which may have a negative impact on their welfare and production efficiency. The aim of the study was to combine a literature review analysis of transcriptional profiling and a competitive endogenous regulatory network analysis (CERNA) to identify the key messenger and non-coding RNAs involved in the molecular regulation of the cells of the pituitary gland and the brain in heat stress broiler chickens. Overall, two long non-coding RNA, 11 microRNAs and 426 common mRNAs and genes were identified that showed significant differences in expression between the two tissues. From the analysis, 12 major genes (&lt;em&gt;HSP90A1, HSPA5, HSP90B1, HSPA4, HUSY1, AHSA2, ALB, DNAJA1, DNAJA4, HSPA4L, and HSPH1&lt;/em&gt;) were found to be more extensively expressed in broiler chickens under heat stress than in control chickens. In addition, after reconstructing the competitive endogenous RNA regulatory network and the associated candidate modules, the main important metabolic signalling pathways identified were protein-folding chaperones, cellular component organisation, protein-binding to heat shock proteins, the endoplasmic reticulum chaperone complex, and protein-processing signalling pathways in the endoplasmic reticulum. Overall, considering the identified RNAs involved in the ceRNA regulatory network that underlie phenotypic differences in the severity of heat stress, this study may provide new insights into the molecular mechanisms underlying the control of heat stress severity and resistance in broiler chickens.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Broiler Chickens</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Competitive endogenous regulatory network</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">heat stress</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hub genes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">transcriptome</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijas.ut.ac.ir/article_101469_2ca8623ba6a3cf6da08d9488142531fe.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
