Silu Hu

Dr. Silu Hu

West China Hospital of Sichuan University, Chengdu, Sichuan, China
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 November 2017 in GigaScience
Verified
Journal Article
Open access
PDF file
QTQianzi Tang
Qianzi Tang
YGYiren Gu
Yiren Gu
Xuming ZhouXuming Zhou
Xuming Zhou
LJLong Jin
Long Jin
JGJiuqiang Guan
Jiuqiang Guan
MLMingzhou Li
Mingzhou Li
Background: Species living at high altitude are subject to strong selective pressures due to inhospitable environments (e.g., hypoxia, low temperature, high solar radiation, and lack of biological production), making these species valuable models for comparative analyses of local adaptation. Studies that have examined high-altitude adaptation have identified a vast array of rapidly evolving genes that characterize the dramatic phenotypic changes in high-altitude animals. However, how high-altitude environment shapes gene expression programs remains largely unknown. Findings: We generated a total of 910 Gb of high-quality RNA-seq data for 180 samples derived from 6 tissues of 5 agriculturally important high-altitude vertebrates (Tibetan chicken, Tibetan pig, Tibetan sheep, Tibetan goat, and yak) and their cross-fertile relatives living in geographically neighboring low-altitude regions. Of these, ~75% reads could be aligned to their respective reference genomes, and on average ~60% of annotated protein coding genes in each organism showed FPKM expression values greater than 0.5. We observed a general concordance in topological relationships between the nucleotide alignments and gene expression–based trees. Tissue and species accounted for markedly more variance than altitude based on either the expression or the alternative splicing patterns. Cross-species clustering analyses showed a tissue-dominated pattern of gene expression and a species-dominated pattern for alternative splicing. We also identified numerous differentially expressed genes that could potentially be involved in phenotypic divergence shaped by high-altitude adaptation. Conclusions: These data serve as a valuable resource for examining the convergence and divergence of gene expression changes between species as they adapt or acclimatize to high-altitude environments.

7 August 2023 in Signal Transduction and Targeted Therapy
Verified
Journal Article
Open access
PDF file
XTXiaoju Tang
Xiaoju Tang
LZLichun Zhong
Lichun Zhong
XTXin Tian
Xin Tian
YZYing Zou
Ying Zou
SHSilu Hu
Silu Hu
HWHuajing Wan
Huajing Wan

1 September 2018 in DNA and Cell Biology
Verified
Journal Article
Closed access
HLHaifeng Liu
Haifeng Liu
HLHuan Li
Huan Li
LJLong Jin
Long Jin
GLGuilin Li
Guilin Li
SHSilu Hu
Silu Hu
MLMingzhou Li
Mingzhou Li
Emerging studies indicated that both long noncoding RNAs and micro-RNAs play crucial roles in the mediation of adipogenesis, which is closely linked to obesity-related diseases. However, the mechanisms of lncRNA-miRNAs coregulating in adipogenesis are still largely unknown. In this study, we determined that lncRNA growth arrest-specific 5 (GAS5) presented an opposite expression pattern with miR-21a-5p in 3T3-L1 adipocytes development. To explore the role of GAS5 in adipogenesis, pcDNA3.1-GAS5 expression vectors and GAS5-siRNAs were used to perform GAS5 overexpression and knockdown, respectively. Ectopic expression of GAS5 dramatically reduced miR-21a-5p level and suppressed the proliferation of 3T3-L1 preadipocytes, while silencing GAS5 slightly increased miR-21a-5p expression but had no significant influence on the cell viability. In addition, overexpression of GAS5 remarkably decreased the mRNA and protein levels of adipogenic marker genes, and resulted in a notable reduction of lipid accumulation. In contrast, overexpressing miR-21a-5p significantly facilitated differentiation of 3T3-L1 cells. By target gene prediction and luciferase reporter assay, we suggested that GAS5 might indirectly improve the expression of phosphatase and tensin homolog (PTEN) by repressing miR-21a-5p in a miRNA-based regulatory mechanism. Together, GAS5 plays a suppressive role in 3T3-L1 cells adipogenesis, which further highlights the importance of lncRNAs in adipogenesis.

12 March 2021 in Frontiers in Genetics
Verified
Journal Article
Open access
GGGuangliang Gao
Guangliang Gao
DGDengfeng Gao
Dengfeng Gao
XZXianzhi Zhao
Xianzhi Zhao
SXSongsong Xu
Songsong Xu
KZKeshan Zhang
Keshan Zhang
QWQigui Wang
Qigui Wang
Geese are one of the most economically important waterfowl. However, the low reproductive performance and egg quality of geese hinder the development of the goose industry. The identification and application of genetic markers may improve the accuracy of beneficial trait selection. To identify the genetic markers associated with goose reproductive performance and egg quality traits, we performed a genome-wide association study (GWAS) for body weight at birth (BBW), the number of eggs at 48 weeks of age (EN48), the number of eggs at 60 weeks of age (EN60) and egg yolk color (EYC). The GWAS acquired 2.896 Tb of raw sequencing data with an average depth of 12.44× and identified 9,279,339 SNPs. The results of GWAS showed that 26 SNPs were significantly associated with BBW, EN48, EN60, and EYC. Moreover, five of these SNPs significantly associated with EN48 and EN60 were in a haplotype block on chromosome 35 from 4,512,855 to 4,541,709 bp, oriented to TMEM161A and another five SNPs significantly correlated to EYC were constructed in haplotype block on chromosome 5 from 21,069,009 to 21,363,580, which annotated by TMEM161A, CALCR, TFPI2, and GLP1R. Those genes were enriched in epidermal growth factor-activated receptor activity, regulation of epidermal growth factor receptor signaling pathway. The SNPs, haplotype markers, and candidate genes identified in this study can be used to improve the accuracy of marker-assisted selection for the reproductive performance and egg quality traits of geese. In addition, the candidate genes significantly associated with these traits may provide a foundation for better understanding the mechanisms underlying reproduction and egg quality in geese.

20 November 2018 in BMC Genomics
Verified
Journal Article
Open access
PDF file
YMYao Ma
Yao Ma
SFSiyuan Feng
Siyuan Feng
XWXun Wang
Xun Wang
Izhar Hyder QaziIzhar Hyder Qazi
Izhar Hyder Qazi
KLKeren Long
Keren Long
MLMingzhou Li
Mingzhou Li
Pigeon crop has the unique ability to produce a nutrient rich substance termed pigeon ‘milk’ (PM), which has functional resemblance with the mammalian milk. Previous researches have demonstrated that a large number of exosomes and exosomal miRNAs exist in mammalian milk, and many of them are associated with immunity, growth and development. However, to date, little is known about the exosomes and exosomal miRNAs in PM. In this study, we isolated the exosomes from PM and used small RNA sequencing to investigate the distribution and expression profiles of exosomal miRNAs. A total of 301 mature miRNAs including 248 conserved and 53 novel miRNAs were identified in five lactation stages i.e. 1d, 5d, 10d, 15d, and 20d. From these, four top 10 conserved miRNAs (cli-miR-21-5p, cli-miR-148a-3p, cli-miR-10a-5p and cli-miR-26a-5p) were co-expressed in all five stages. We speculate that these miRNAs may have important role in the biosynthesis and metabolism of PM. Moreover, similar to the mammalian milk, a significant proportion of immune and growth-related miRNAs were also present and enriched in PM exosomes. Furthermore, we also identified 41 orthologous miRNAs group (giving rise to 81 mature miRNA) commonly shared with PM, human, bovine and porcine breast milk. Additionally, functional enrichment analysis revealed the role of exosomal miRNAs in organ development and in growth-related pathways including the MAPK, Wnt and insulin pathways. To sum-up, this comprehensive analysis will contribute to a better understanding of the underlying functions and regulatory mechanisms of PM in squabs.

14 May 2019 in BMC Genomics
Verified
Journal Article
Open access
PDF file
GWGuosong Wang
Guosong Wang
LJLong Jin
Long Jin
YLYan Li
Yan Li
QTQianzi Tang
Qianzi Tang
SHSilu Hu
Silu Hu
JWJiwen Wang
Jiwen Wang
Dysregulation of adipogenesis causes metabolic diseases, like obesity and fatty liver. Migratory birds such as geese have a high tolerance of massive energy intake and exhibit little pathological development. Domesticated goose breeds, derivatives of the wild greyleg goose (Anser anser) or swan goose (Anser cygnoides), have high tolerance of energy intake resembling their ancestor species. Thus, goose is potentially a model species to study mechanisms associated with adipogenesis. Phenotypically, goose liver exhibited higher fat accumulation than adipose tissues during fattening (liver increased by 3.35 fold than 1.65 fold in adipose), showing a priority of fat accumulation in liver. We found the number of differentially expressed genes in liver (13.97%) was nearly twice the number of that in adipose (6.60%). These differentially expressed genes in liver function in several important lipid metabolism pathways, immune response, regulation of cancer, while in adipose, terms closely related to protein binding, gluconeogenesis were enriched. Typically, genes like MDH2 and SCD, which have key roles in glycolysis and fatty acids metabolism, had higher fold change in liver than in adipose tissues. Three hundred two differentially expressed long noncoding RNAs involved in regulation of metabolism in liver were also identified. For example, lncRNA XLOC_292762, which was 5.7 kb downstream of FERMT2, a gene involved phosphatidylinositol-3,4,5-trisphosphate binding, was significantly down-regulated after the high-intake feeding period. Further investigation of documented obesity-related orthologous genes in goose suggested that understanding the evolutionary split from mammals in adipogenesis will make goose fatty liver a better resource for future research. Our research reveals that goose uses liver as the major tissue to regulate a distinct lipid synthesis and degradation flux and the dynamic expression network analyses showed numerous layers of positive responses to both massive energy intake and possible pathological development. Our results offer insights into goose adipogenesis and provide a new perspective for research in human metabolic dysregulation.