Ask about this productRelated genes to: HSFY2 Blocking Peptide
- Gene:
- HSFY2 NIH gene
- Name:
- heat shock transcription factor Y-linked 2
- Previous symbol:
- -
- Synonyms:
- FLJ25453
- Chromosome:
- Yq11.222
- Locus Type:
- gene with protein product
- Date approved:
- 2004-05-24
- Date modifiied:
- 2018-04-26
Related products to: HSFY2 Blocking Peptide
Related articles to: HSFY2 Blocking Peptide
- Psoriasis is an immune-mediated chronic inflammatory disease characterized by keratinocyte hyperproliferation and inflammatory cell infiltration. While noncoding RNAs are implicated in its progression, research remains limited. Integrating lncRNA microarray data with LncRNASNP2-based predictions identified the long noncoding RNA (lncRNA) as a potential functional lncRNA contributing to psoriasis pathogenesis. This study aimed to investigate the role of lnc-/miR-145-5p/fibronectin (FN1) axis in psoriasis. We found that was significantly upregulated in psoriatic tissues. In a psoriasis cell model established by stimulating NHEKs and HaCaT cells with the M5 cytokine cocktail (IL-17A, IL-22, oncostatin M, IL-1α, and TNF-α), lnc-HSFY2-10:1 promoted keratinocyte hyperproliferation and CCL20 secretion. Mechanistically, functioned as a competitive endogenous RNA for miR-145-5p, thereby regulating FN1 expression. Overexpression of miR-145-5p markedly reversed the -induced upregulation of FN1, keratinocyte proliferation, and CCL20 secretion. These findings indicate that the lnc-/miR-145-5p/FN1 axis plays a crucial role in psoriasis pathogenesis and serves as a potential therapeutic target. [Figure: see text]. - Source: PubMed
Publication date: 2025/09/15
Yang LuanWang RuijieSun YingyingRuan ZhenqiangJia HaiyanYan Jianjun - Selection of the most stably expressed reference genes is key to monitoring accurate target gene expression across any tissue or cell type. The mRNA in spermatozoa stores valuable information related to changes in spermatogenesis due to variations in environmental conditions, especially during heat stress, which affects various sperm functions. Semen quality in buffalo bulls is significantly influenced by the seasons. In the study, a panel of nine genes was evaluated to identify the most stably expressed internal control gene (ICG) for the normalization of real-time gene expression data generated across various seasons for Murrah buffalo bulls' spermatozoa. Sperm cells were purified from the semen samples collected during different seasons, with temperature-humidity index (THI) ranging from 80.80 ± 1.47 (hot summer) to 55.88 ± 1.98 (winter), using the BoviPure™ gradient purification method. The RNA isolated from the purified spermatozoa fraction was quality checked prior to reverse transcription and subjected to qPCR (quantitative real-time PCR) based expression analysis. An automated 'endoGene' pipeline was employed to apply the geNorm, NormFinder, and BestKeeper algorithms for data analysis. The result indicated that GAPDH and PP1A were the most stably expressed among the gene panel, whereas ATPSF1 and ACTB were the two least stable expressed reference genes. Further, the most suitable ICGs identified were validated by normalization of real time expression data of heat stress and sperm quality genes, HSFY2 and AKAP4, respectively. The genes identified would help in generating the most reliable results for the expression profiling of the genes dictating sperm quality and heat stress cope-up mechanism in buffalo spermatozoa, collected during different seasons. - Source: PubMed
Publication date: 2024/04/11
Vasisth RashiGurao AnkitaChitkara MeenakshiKumar GautamSriranga Karpenahalli RanganathaMukesh ManishiDige Mahesh ShivanandSingh PawanAggarwal Rajeev Anand KumarKataria Ranjit Singh - Monocyte-derived dendritic cells (moDCs) play important roles in the pathogenesis of systemic lupus erythematosus (SLE). Aberrant expression of long noncoding RNAs (lncRNAs) could affect the function of moDCs. The aim of this study was to explore the lncRNA expression profile in moDCs of SLE patients to provide new insights into SLE. - Source: PubMed
Publication date: 2018/07/11
Wang YilunChen ShuangChen SunyiDu JuanLin JinranQin HaihongWang JieLiang JunXu Jinhua - With artificial insemination (AI) and other precision dependent assisted reproductive technologies (ART) being followed in large scale in human and animal reproduction, assessing semen quality and fertilizability is under continuous scrutiny. Various tests have been developed to predict semen quality, but so far no single, highly reliable test is available. In this regard, transcriptomic profiling of spermatozoa assumes significance as it carries the information about spermatogenesis, sperm function, and paternal roles in post-fertilization events. Human spermatozoal transcriptome profiling has been carried out on a large number of individuals to predict the semen quality. A study in human indicated that the outcome of some idiopathic couples seeking reproductive care could be helped using transcriptomic profiling of spermatozoa. Such studies have a direct impact on the bovine dairy industry, wherein AI is practiced. Limited studies in bovine spermatozoal transcriptome profiling have revealed that the spermatozoa contain various classes of RNA, like in human. Approximately 13,000 bovine genes yield a series of spermatozoal transcripts, of which most are fragmented in nature. Their abundance is indicative of the timing of events associated with spermatogenesis, e.g., PRM1, IGF1, BMP2; sperm function, TSSK6, CRISP, HSFY2; fertility, UBE2D3, Integrin-β, LDC-1; and embryonic development, miR34c-5p, BCL2L11, BRCA1. The most abundant translated bovine transcripts are BSP3 and SPATA18, and are involved in regulation of germ cell development and the maintenance of chromatin integrity during spermatogenesis respectively. The presence of transcripts associated with placental development, e.g., placental associated glycoproteins (PAGs) have suggested their possible influence beyond early embryonic development. Changes in transcript levels like RPL31 and PRKCE that increase, and PRM1 that decreases, during cryopreservation need to be defined in order to optimize cryopreservation and fertility yield. Spermatozoal transcriptome profiling with validation studies are warranted in large numbers of animals to elucidate their significance for selecting fertile bulls for the breeding program. Abbreviations: AI: artificial insemination; BSE: breeding soundness evaluation; cfs-mRNA: cell-free seminal mRNA; piRNA: PIWI-interacting RNA; tRNA: transfer RNA; fg: femtogram; TPM: transcripts per million reads; RPKM: reads per kilobase million; rRNA: ribosomal RNA; mt-RNA: mitochondrial RNA; lncRNA: long non-coding RNA; sncRNA: small noncoding RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; miRNA: microRNA; snaR: small NF90-associated RNAs; SINES: short interspersed nuclear elements; LINES: long interspersed nuclear elements; MER: medium reiterated sequence; F1 offspring: filial 1 offspring; PAGs: placental associated glycoproteins; TCP: Transcription factor T complex protein; BSP3: bovine seminal plasma protein 3; SCNT: somatic cell nuclear transfer; qPCR: quantitative (real-time) polymerase chain reaction; SSH: suppression subtractive hybridization; SNP: single nucleotide polymorphism; 2-DE: 2 dimensional gel electrophoresis; LC-MS/MS: liquid chromatography-tandem mass spectrometry. - Source: PubMed
Publication date: 2018/03/14
Selvaraju SellappanParthipan SivashanmugamSomashekar LakshminarayanaBinsila B KrishnanKolte Atul PArangasamy ArunachalamRavindra Janivara ParameshwaraiahKrawetz Stephen A - Spermatozoal transcripts expression levels could be used to assess fertility potential of a male. The objective of the present study was to elucidate the predictive ability of the expression levels of growth, apoptosis and homeostasis regulating transcripts on sperm functions and fertility. The expression levels of spermatozoal RNA isolated from the neat semen samples were related to the good (discarded ejaculate, <25%; n = 7) and poor (discarded ejaculate, >40%, n = 6) quality semen producer and bulls (n = 12) with known conception rate. The relative fold expression levels of BMP2 were significantly (p < 0.01) higher in good than the poor semen producers and positively associated with post-thaw sperm velocity parameters (LIN and VAP). The NGF expressions fold levels had significant (p < 0.05) positive relationship with mitochondrial membrane potential of neat semen samples. The genes involved in the apoptotic, UBE2D3 (r = -0.61, p = 0.02), CASP3 (r = -0.57, p = 0.03) and homeostatic, HSFY2 (r = -0.61, p < 0.02) regulators had significant negative correlation with the percentage of post-thaw fast progressive motile spermatozoa. The expression level of TRADD had significant negative influence on the mitochondrial membrane potential (r = -0.54, p = 0.05) of neat semen samples and conception rate (r = -0.57, p < 0.05). The expression levels of BMP2 had highly significant positive correlation with NGF (r = 0.99, p < 0.01) and CASP3 (r = 0.56, p = 0.05). The BMP2 expression level might be used to predict the quality of the semen and TRADD determine the conception rate of the bull. The study provides ample evidence that the sperm transcripts expression levels might be used to predict quality semen production and bull fertility. - Source: PubMed
Publication date: 2017/04/29
Parthipan SivashanmugamSelvaraju SellappanSomashekar LakshminarayanaArangasamy ArunachalamSivaram MuniandyRavindra Janivara Parameswaraiah