MiRNA expression profiles of serum exosomes derived from individuals with latent and active tuberculosis

ABSTRACTTuberculosis (TB) has become a leading cause of death worldwide, which is largely attributed to the difficulties in diagnosis and treatment of TB patients. Exosomes carrying RNA, particularly miRNA, have been indicated their functional and diagnostic potential in diseases, including tuberculosis (TB). In the present study, we performed RNA-seq based analysis on exosomal miRNA profiles for clinical specimens of healthy controls (HC), active tuberculosis (TB) and latent tuberculosis infection (LTBI). We identified many distinct up-regulated and down-regulated differentially expressed miRNA and further screened top 20 in each compared groups which might provide a potential panel for differentiation of HC, LTBI, and TB. We classified all the differentially expressed miRNAs into six expression patterns and identified three persistently up-regulated miRNA (hsa-miR-140-3p, hsa-miR-3184-5p and hsa-miR-423-3p) as potential markers during TB progression. Combined with our previously detected exsomal mRNA, we screened the genes overlapped with predicted mRNA targets of differentially expressed miRNA and analyzed their involvement in Biological Process, indicating a decreased signaling transduction and increased cell death in LTBI and TB. Our results indicate the selective packaging of RNA cargoes into exosomes under different stages of Mycobacterium tuberculosis infection and facilitate further study of TB pathogenesis and development.IMPORTANCEThe main reason for failure to eliminate TB is lack of understanding molecular mechanism of TB pathogenesis and difficulties in TB diagnosis and treatment. Exosomes provide a promising research tool because they are released from various cells containing valuable biochemical information related to diseases. We reveale distinct miRNA expression profile of the exosomes, which indicates selective packaging of RNA cargoes into exosomes under different stages of Mycobacterium tuberculosis infection. Further, we also provide evidence of related miRNA candidates potentially involving in TB progression and facilitating discovery of TB biomarkers.

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MicroRNA expression patterns associated with hyperfunctioning and non-hyperfunctioning phenotypes in adrenocortical adenomas

Acta Endocrinologica ◽

10.1530/eje-13-0817 ◽

2014 ◽

Vol 170 (4) ◽

pp. 583-591 ◽

Cited By ~ 12

Author(s):

David Velázquez-Fernández ◽

Stefano Caramuta ◽

Deniz M Özata ◽

Ming Lu ◽

Anders Höög ◽

...

Keyword(s):

Mirna Expression ◽

Expression Profiles ◽

Expression Patterns ◽

Gene Mutations ◽

Mirna Expression Profile ◽

Differentially Expressed ◽

Adrenocortical Adenoma ◽

Tumor Subtypes ◽

Mirna Expression Profiles ◽

Differentially Expressed Mirnas

BackgroundThe adrenocortical adenoma (ACA) entity includes aldosterone-producing adenoma (APA), cortisol-producing adenoma (CPA), and non-hyperfunctioning adenoma (NHFA) phenotypes. While gene mutations and mRNA expression profiles have been partly characterized, less is known about the alterations involving microRNA (miRNA) expression.AimTo characterize miRNA expression profile in relation to the subtypes of ACAs.Subjects and methodsmiRNA expression profiles were determined in 26 ACAs (nine APAs, ten CPAs, and seven NHFAs) and four adrenal references using microarray-based screening. Significance analysis of microarrays (SAM) was carried out to identify differentially expressed miRNAs between ACA and adrenal cortices or between tumor subtypes. Selected differentially expressed miRNAs were validated in an extended series of 43 ACAs and ten adrenal references by quantitative RT-PCR.ResultsAn hierarchical clustering revealed separate clusters for APAs and CPAs, while the NHFAs were found spread out within the APA/CPA clusters. When NHFA was excluded, the clustering analysis showed a better separation between APA and CPA. SAM analysis identified 40 over-expressed and three under-expressed miRNAs in the adenomas as compared with adrenal references. Fourteen miRNAs were common among the three ACA subtypes. Furthermore, we found specific miRNAs associated with different tumor phenotypes.ConclusionThe results suggest that miRNA expression profiles can distinguish different subtypes of ACA, which may contribute to a deeper understanding of ACA development and potential therapeutics.

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MicroRNA Expression Profiling in Multiple Myeloma: Correlation with Genetic Abnormalities

Blood ◽

10.1182/blood.v112.11.629.629 ◽

2008 ◽

Vol 112 (11) ◽

pp. 629-629 ◽

Cited By ~ 1

Author(s):

Norma C. Gutiérrez ◽

Maria Eugenia Sarasquete ◽

Manuel Delgado ◽

Patricia Martín-Jiménez ◽

Carmen Chillón ◽

...

Keyword(s):

Mirna Expression ◽

Expression Profiling ◽

Differentially Expressed ◽

Fish Analysis ◽

Myeloma Cells ◽

Mrna Targets ◽

Unsupervised Analysis ◽

Genetic Abnormalities ◽

Normal Human ◽

Differentially Expressed Mirna

Abstract MicroRNAs (miRNAs) are small non-coding RNA that regulate gene expression by inducing RNA degradation or translational inhibition of their mRNA targets. Recently, deregulation of miRNAs has been associated with cancer development. MiRNA expression profiling has been analysed in different hematological malignancies, but the information about miRNA expression in MM is limited. We investigated the expression levels of 368 miRNAs using a quantitative PCR-method (“TaqMan low density arrays-microRNA assay”, Applied Biosystems) in 49 patients with newly diagnosed MM. Moreover, 4 MM cell lines (MM1S, OPM2, U266 and RPMI) and 4 samples of normal human plasma cells (PC) were also included in the study. In all the bone marrow samples a CD138 positive PC isolation was performed. Relative quantification of miRNA expression was calculated with the 2−ΔΔCt method. The data were normalized respect to RNU48 and relative to a calibrator sample (average of normal human PC samples). Hierarchical clustering based on the average-linkage method with the centered correlation metric was used for unsupervised analysis. Differentially expressed miRNAs were identified using “Significant Analysis of Microarrays” (SAM) algorithm, the t test and the nonparametric Wilcoxon rank sum test. Primary myeloma cells displayed a distinctive miRNA expression pattern compared to normal PC, characterized by the downregulation of the miRNAs differentially expressed. Unsupervised analysis of the data revealed that the MM samples segregated mainly into two clusters: one contained 12 out the 14 MM cases with t(4;14), 20 out of the 30 MM cases with RB deletion, and the 3 samples with t(14;16) which were tightly clustered. The other cluster contained 5 out of the 7 MM samples without genetic abnormalities (IGH translocation, RB and P53 deletions and gain on 1q were ruled out by FISH analysis). MM samples with t(11;14) and those with gains on 1q were dispersed along the dendrogram. The comparative analysis of the miRNA expression profile between MM with t(4;14) and the remaining MM samples showed a set of 5 up-regulated miRNA (let-7c, miR-125a, miR-125b, miR-135a, miR-99a) in the t(4;14) group. Although MM samples with t(11;14) were not clustered together, the supervised analysis identified two upregulated miRNAs (miRNA-345 and miRNA-193a) compared to those MM cases without this translocation. None of the differentially expressed miRNA was located in the chromosomal regions involved in the specific translocations. Upon comparing the miRNA expression in cases with or withouth RB deletion it was found that the three most differentially expressed miRNA were miR-145, miRNA-378 and let-7b (downregulated in MM with RB deletion). There was no correlation between the expression level of miRNAs located on chromosome 13 and the RB status by FISH. In the same way, the miRNAs differentially expressed in MM with 1q gains were not located in 1q. In summary, these results indicate that miRNA expression is deregulated in myeloma cells, and what is more important, the miRNA pattern of expression in MM seems to be associated with specific genetic abnormalities, which indicate that they may play a relevant role in MM pathogenesis.

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Genome-wide profiling of miRNA expression patterns in tubal endometriosis

Reproduction ◽

10.1530/rep-18-0631 ◽

2019 ◽

Vol 157 (6) ◽

pp. 525-534 ◽

Cited By ~ 4

Author(s):

Hang Qi ◽

Guiling Liang ◽

Jin Yu ◽

Xiaofeng Wang ◽

Yan Liang ◽

...

Keyword(s):

Pathway Analysis ◽

Mirna Expression ◽

Gene Networks ◽

Target Genes ◽

Expression Profiles ◽

Expression Patterns ◽

Mirna Gene ◽

Differentially Expressed ◽

Signal Pathways ◽

Differentially Expressed Mirnas

MicroRNA (miRNA) expression proﬁles in tubal endometriosis (EM) are still poorly understood. In this study, we analyzed the differential expression of miRNAs and the related gene networks and signaling pathways in tubal EM. Four tubal epithelium samples from tubal EM patients and five normal tubal epithelium samples from uterine leiomyoma patients were collected for miRNA microarray. Bioinformatics analyses, including Ingenuity Pathway Analysis (IPA), Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, were performed. Quantitative real-time polymerase chain reaction (qRT-PCR) validation of five miRNAs was performed in six tubal epithelium samples from tubal EM and six from control. A total of 17 significantly differentially expressed miRNAs and 4343 potential miRNA-target genes involved in tubal EM were identified (fold change >1.5 and FDR-adjustedPvalue <0.05). IPA indicated connections between miRNAs, target genes and other gynecological diseases like endometrial carcinoma. GO and KEGG analysis revealed that most of the identified genes were involved in the mTOR signaling pathway, SNARE interactions in vesicular transport and endocytosis. We constructed an miRNA-gene-disease network using target gene prediction. Functional analysis showed that the mTOR pathway was connected closely to tubal EM. Our results demonstrate for the first time the differentially expressed miRNAs and the related signal pathways involved in the pathogenesis of tubal EM which contribute to elucidating the pathogenic mechanism of tubal EM-related infertility.

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Temporal expression profiles indicate a primary function for microRNA during the peak of DNA replication after rat partial hepatectomy

AJP Regulatory Integrative and Comparative Physiology ◽

10.1152/ajpregu.00632.2010 ◽

2011 ◽

Vol 300 (6) ◽

pp. R1363-R1372 ◽

Cited By ~ 22

Author(s):

Nathanael Raschzok ◽

Wiebke Werner ◽

Hannes Sallmon ◽

Nils Billecke ◽

Christof Dame ◽

...

Keyword(s):

Dna Replication ◽

Liver Regeneration ◽

Partial Hepatectomy ◽

Mirna Expression ◽

Expression Profiles ◽

Expression Patterns ◽

Differentially Expressed ◽

Nuclear Antigen ◽

Primary Function ◽

Differentially Expressed Mirnas

The liver has the unique capacity to regenerate after surgical resection. However, the regulation of liver regeneration is not completely understood. Recent reports indicate an essential role for small noncoding microRNAs (miRNAs) in the regulation of hepatic development, carcinogenesis, and early regeneration. We hypothesized that miRNAs are critically involved in all phases of liver regeneration after partial hepatectomy. We performed miRNA microarray analyses after 70% partial hepatectomy in rats under isoflurane anesthesia at different time points (0 h to 5 days) and after sham laparotomy. Putative targets of differentially expressed miRNAs were determined using a bioinformatic approach. Two-dimensional (2D)-PAGE proteomic analyses and protein identification were performed on specimens at 0 and 24 h after resection. The temporal dynamics of liver regeneration were characterized by 5-bromo- 2-deoxyuridine, proliferating cell nuclear antigen, IL-6, and hepatocyte growth factor. We demonstrate that miRNA expression patterns changed during liver regeneration and that these changes were most evident during the peak of DNA replication at 24 h after resection. Expression of 13 miRNAs was significantly reduced 12–48 h after resection (>25% change), out of which downreguation was confirmed in isolated hepatocytes for 6 miRNAs at 24 h, whereas three miRNAs were significantly upregulated. Proteomic analysis revealed 65 upregulated proteins; among them, 23 represent putative targets of the differentially expressed miRNAs. We provide a temporal miRNA expression and proteomic dataset of the regenerating rat liver, which indicates a primary function for miRNA during the peak of DNA replication. These data will assist further functional studies on the role of miRNAs during liver regeneration.

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The Predominant microRNAs in β-cell Clusters for Insulin Regulation and Diabetic Control

Current Drug Targets ◽

10.2174/1389450121666191230145848 ◽

2020 ◽

Vol 21 (7) ◽

pp. 722-734

Author(s):

Adele Soltani ◽

Arefeh Jafarian ◽

Abdolamir Allameh

Keyword(s):

Mirna Expression ◽

Expression Profiles ◽

Expression Patterns ◽

Diabetic Control ◽

In Vitro Proliferation ◽

Cell Functions ◽

Mirna Expression Profiles ◽

Multiple Processes ◽

The Impact

micro (mi)-RNAs are vital regulators of multiple processes including insulin signaling pathways and glucose metabolism. Pancreatic β-cells function is dependent on some miRNAs and their target mRNA, which together form a complex regulative network. Several miRNAs are known to be directly involved in β-cells functions such as insulin expression and secretion. These small RNAs may also play significant roles in the fate of β-cells such as proliferation, differentiation, survival and apoptosis. Among the miRNAs, miR-7, miR-9, miR-375, miR-130 and miR-124 are of particular interest due to being highly expressed in these cells. Under diabetic conditions, although no specific miRNA profile has been noticed, the expression of some miRNAs and their target mRNAs are altered by posttranscriptional mechanisms, exerting diverse signs in the pathobiology of various diabetic complications. The aim of this review article is to discuss miRNAs involved in the process of stem cells differentiation into β-cells, resulting in enhanced β-cell functions with respect to diabetic disorders. This paper will also look into the impact of miRNA expression patterns on in vitro proliferation and differentiation of β-cells. The efficacy of the computational genomics and biochemical analysis to link the changes in miRNA expression profiles of stem cell-derived β-cells to therapeutically relevant outputs will be discussed as well.

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Comprehensive Comparison of Amnion Stromal Cells and Chorion Stromal Cells by RNA-Seq

International Journal of Molecular Sciences ◽

10.3390/ijms22041901 ◽

2021 ◽

Vol 22 (4) ◽

pp. 1901

Author(s):

Brielle Jones ◽

Chaoyang Li ◽

Min Sung Park ◽

Anne Lerch ◽

Vimal Jacob ◽

...

Keyword(s):

Gene Expression ◽

Stromal Cells ◽

Expression Profiles ◽

Expression Patterns ◽

Principal Component ◽

Differentially Expressed ◽

Inflammatory Factor ◽

Next Generation Sequencing Technology ◽

Angiogenic Potential ◽

Anti Inflammatory

Mesenchymal stromal cells derived from the fetal placenta, composed of an amnion membrane, chorion membrane, and umbilical cord, have emerged as promising sources for regenerative medicine. Here, we used next-generation sequencing technology to comprehensively compare amniotic stromal cells (ASCs) with chorionic stromal cells (CSCs) at the molecular and signaling levels. Principal component analysis showed a clear dichotomy of gene expression profiles between ASCs and CSCs. Unsupervised hierarchical clustering confirmed that the biological repeats of ASCs and CSCs were able to respectively group together. Supervised analysis identified differentially expressed genes, such as LMO3, HOXA11, and HOXA13, and differentially expressed isoforms, such as CXCL6 and HGF. Gene Ontology (GO) analysis showed that the GO terms of the extracellular matrix, angiogenesis, and cell adhesion were significantly enriched in CSCs. We further explored the factors associated with inflammation and angiogenesis using a multiplex assay. In comparison with ASCs, CSCs secreted higher levels of angiogenic factors, including angiogenin, VEGFA, HGF, and bFGF. The results of a tube formation assay proved that CSCs exhibited a strong angiogenic function. However, ASCs secreted two-fold more of an anti-inflammatory factor, TSG-6, than CSCs. In conclusion, our study demonstrated the differential gene expression patterns between ASCs and CSCs. CSCs have superior angiogenic potential, whereas ASCs exhibit increased anti-inflammatory properties.

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Influence of atrial fibrillation on microRNA expression profiles in left and right atria from patients with valvular heart disease

Physiological Genomics ◽

10.1152/physiolgenomics.00111.2011 ◽

2012 ◽

Vol 44 (3) ◽

pp. 211-219 ◽

Cited By ~ 61

Author(s):

Nicola Cooley ◽

Mark J. Cowley ◽

Ruby C. Y. Lin ◽

Silvana Marasco ◽

Chiew Wong ◽

...

Keyword(s):

Atrial Fibrillation ◽

Heart Disease ◽

Mirna Expression ◽

Valvular Heart Disease ◽

Left Atrial ◽

Expression Profiles ◽

Artery Bypass ◽

Expression Patterns ◽

Right Atrial ◽

Detectable Effect

Chronic atrial fibrillation (AF) is a complication associated with the dilated atria of patients with valvular heart disease and contributes to worsened pathology. We examined microRNA (miRNA) expression profiles in right and left atrial appendage tissue from valvular heart disease (VHD) patients. Right atrial (RA) appendage from patients undergoing coronary artery bypass grafting and left atrial (LA) appendage from healthy hearts, not used for transplant, were used as controls. There was no detectable effect of chronic AF on miRNA expression in LA tissue, but miRNA expression in RA was strongly influenced by AF, with 47 miRNAs (15 higher, 32 lower) showing differential expression between the AF and control sinus rhythm groups. VHD induced different changes in miRNA expression in LA compared with RA. Fifty-three (12 higher, 41 lower) miRNAs were altered by VHD in LA, compared with 5 (4 higher, 1 lower) in RA tissue. miRNA profiles also differed between VHD-LA and VHD-RA (13 higher, 26 lower). We conclude that VHD and AF influence miRNA expression patterns in LA and RA, but these are affected differently by disease progression and by the development of AF. These findings provide new insights into the progression of VHD.

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Regional variations in ABC transporter expression along the mouse intestinal tract

Physiological Genomics ◽

10.1152/physiolgenomics.00150.2003 ◽

2004 ◽

Vol 17 (1) ◽

pp. 11-20 ◽

Cited By ~ 40

Author(s):

David M. Mutch ◽

Pascale Anderle ◽

Muriel Fiaux ◽

Robert Mansourian ◽

Karine Vidal ◽

...

Keyword(s):

Gene Expression ◽

Abc Transporter ◽

Expression Profile ◽

Abc Transporters ◽

Intestinal Tract ◽

Expression Profiles ◽

Expression Patterns ◽

Assessment Model ◽

Differentially Expressed ◽

Distal Intestine

The ATP-binding cassette (ABC) family of proteins comprise a group of membrane transporters involved in the transport of a wide variety of compounds, such as xenobiotics, vitamins, lipids, amino acids, and carbohydrates. Determining their regional expression patterns along the intestinal tract will further characterize their transport functions in the gut. The mRNA expression levels of murine ABC transporters in the duodenum, jejunum, ileum, and colon were examined using the Affymetrix MuU74v2 GeneChip set. Eight ABC transporters (Abcb2, Abcb3, Abcb9, Abcc3, Abcc6, Abcd1, Abcg5, and Abcg8) displayed significant differential gene expression along the intestinal tract, as determined by two statistical models (a global error assessment model and a classic ANOVA, both with a P < 0.01). Concordance with semiquantitative real-time PCR was high. Analyzing the promoters of the differentially expressed ABC transporters did not identify common transcriptional motifs between family members or with other genes; however, the expression profile for Abcb9 was highly correlated with fibulin-1, and both genes share a common complex promoter model involving the NFκB, zinc binding protein factor (ZBPF), GC-box factors SP1/GC (SP1F), and early growth response factor (EGRF) transcription binding motifs. The cellular location of another of the differentially expressed ABC transporters, Abcc3, was examined by immunohistochemistry. Staining revealed that the protein is consistently expressed in the basolateral compartment of enterocytes along the anterior-posterior axis of the intestine. Furthermore, the intensity of the staining pattern is concordant with the expression profile. This agrees with previous findings in which the mRNA, protein, and transport function of Abcc3 were increased in the rat distal intestine. These data reveal regional differences in gene expression profiles along the intestinal tract and demonstrate that a complete understanding of intestinal ABC transporter function can only be achieved by examining the physiologically distinct regions of the gut.

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Is gene expression among women with rheumatoid arthritis dysregulated during a postpartum flare?

Arthritis Research & Therapy ◽

10.1186/s13075-021-02418-w ◽

2021 ◽

Vol 23 (1) ◽

Author(s):

Matthew Wright ◽

Mette K. Smed ◽

J. Lee Nelson ◽

Jørn Olsen ◽

Merete L. Hetland ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Gene Expression ◽

Disease Activity ◽

Activity Index ◽

Expression Profiles ◽

Expression Patterns ◽

Time Frame ◽

Differentially Expressed ◽

Healthy Women ◽

Immune Related Genes

Abstract Background To evaluate our hypotheses that, when rheumatoid arthritis (RA) flares postpartum, gene expression patterns are altered compared to (a) healthy women, (b) RA women whose disease activity is low or in remission postpartum, and (c) pre-pregnancy expression profiles. Methods Twelve women with RA and five healthy women were included in this pilot study. RA disease activity and postpartum flare were assessed using the Clinical Disease Activity Index (CDAI). Total RNA from frozen whole blood was used for RNA sequencing. Differential gene expression within the same women (within-group) over time, i.e., postpartum vs. third trimester (T3) or pre-pregnancy (T0), were examined, using a significance threshold of q < 0.05 and fold-change ≥ 2. Results Nine of the women with RA experienced a flare postpartum (RAFlare), while three had low disease activity or were in remission (RANoFlare) during that time frame. Numerous immune-related genes were differentially expressed postpartum (vs. T3) during a flare. Fold-changes in expression from T3 to postpartum were mostly comparable between the RAFlare and healthy groups. At 3 months postpartum, compared to healthy women, several genes were significantly differentially expressed only among the RAFlare women, and not among the RANoFlare women. Some of these genes were among those whose “normal” expression was significantly modulated postpartum, and the postpartum expression patterns were significantly altered during the RA flare. There were also some genes that were significantly differentially expressed in RAFlare compared to both healthy and RANoFlare women, even though their expression was not significantly modulated postpartum. Furthermore, while postpartum expression profiles were similar to those at pre-pregnancy among healthy women, significant differences were found between those time points among the RAFlare women. Conclusions The large majority of gene expression changes between T3 and 3 months postpartum among RA women who flared postpartum reflected normal postpartum changes also seen among healthy women. Nonetheless, during a postpartum flare, a set of immune-related genes showed dysregulated expression compared to healthy women and women with RA whose disease activity was low or in remission during the same time frame, while other genes demonstrated significant differences in expression compared to RA pre-pregnancy levels.

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Comparative Transcriptome Analysis Suggests Key Roles for 5-Hydroxytryptamlne Receptors in Control of Goose Egg Production

Genes ◽

10.3390/genes11040455 ◽

2020 ◽

Vol 11 (4) ◽

pp. 455 ◽

Cited By ~ 1

Author(s):

Qingyuan Ouyang ◽

Shenqiang Hu ◽

Guosong Wang ◽

Jiwei Hu ◽

Jiaman Zhang ◽

...

Keyword(s):

Egg Production ◽

Expression Profiles ◽

Expression Patterns ◽

Enrichment Analysis ◽

Functional Enrichment Analysis ◽

Production Performance ◽

Functional Enrichment ◽

Differentially Expressed ◽

Receptor Interaction ◽

Anser Anser

To date, research on poultry egg production performance has only been conducted within inter or intra-breed groups, while those combining both inter- and intra-breed groups are lacking. Egg production performance is known to differ markedly between Sichuan white goose (Anser cygnoides) and Landes goose (Anser anser). In order to understand the mechanism of egg production performance in geese, we undertook this study. Here, 18 ovarian stromal samples from both Sichuan white goose and Landes goose at the age of 145 days (3 individuals before egg production initiation for each breed) and 730 days (3 high- and low egg production individuals during non-laying periods for each breed) were collected to reveal the genome-wide expression profiles of ovarian mRNAs and lncRNAs between these two geese breeds at different physiological stages. Briefly, 58, 347, 797, 777, and 881 differentially expressed genes (DEGs) and 56, 24, 154, 105, and 224 differentially expressed long non-coding RNAs (DElncRNAs) were found in LLD vs. HLD (low egg production Landes goose vs. high egg production Landes goose), LSC vs. HSC (low egg production Sichuan White goose vs. high egg production Sichuan white goose), YLD vs. YSC (young Landes goose vs. young Sichuan white goose), HLD vs. HSC (high egg production Landes goose vs. high egg production Sichuan white goose), and LLD vs. LSC (low egg production Landes goose vs. low egg production Sichuan white goose) groups, respectively. Functional enrichment analysis of these DEGs and DElncRNAs suggest that the “neuroactive ligand–receptor interaction pathway” is crucial for egg production, and particularly, members of the 5-hydroxytryptamine receptor (HTR) family affect egg production by regulating ovarian metabolic function. Furthermore, the big differences in the secondary structures among HTR1F and HTR1B, HTR2B, and HTR7 may lead to their different expression patterns in goose ovaries of both inter- and intra-breed groups. These results provide novel insights into the mechanisms regulating poultry egg production performance.

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