Dataset Information

Macaca fascicularis liver LC-MS/MS

ABSTRACT: In order to develop new safe and potent therapeutics, insights into the mechanisms underlying diabetes mellitus are urgently needed. We used proteomics profiling of the liver tissue from Macaca fascicularis with spontaneously occurred diabetes mellitus at their middle age and including two groups of the monkeys fed with the same food and high-fat and high-sugar diet for comparison.We hoped to find something new for diabetes mellitus treatment.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Macaca Fascicularis (crab-eating Macaque) (cynomolgus Monkey)

TISSUE(S): Liver

SUBMITTER: Dianqiang Yang

LAB HEAD: Shuhai Lin

PROVIDER: PXD025863 | Pride | 2022-02-17

REPOSITORIES: Pride

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Publications

Multi-Omics Comparison of the Spontaneous Diabetes Mellitus and Diet-Induced Prediabetic Macaque Models.

Yang Zhu Z Yang Dianqiang D Tan Fancheng F Wong Chi Wai CW Yang James Y JY Zhou Da D Cai Zongwei Z Lin Shu-Hai SH

Frontiers in pharmacology 20211122

The prevalence of diabetes mellitus has been increasing for decades worldwide. To develop safe and potent therapeutics, animal models contribute a lot to the studies of the mechanisms underlying its pathogenesis. Dietary induction using is a well-accepted protocol in generating insulin resistance and diabetes models. In the present study, we reported the multi-omics profiling of the liver and sera from both peripheral blood and hepatic portal vein blood from <i>Macaca fascicularis</i> that spont ...[more]

PMID: 34880765

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Project description:The long-tailed macaque, also referred to as cynomolgus monkey (Macaca fascicularis), is one of the most important non-human primate animal models in basic and applied biomedical research. To improve the predictive power of primate experiments for humans, we determined the genome sequence of a Macaca fascicularis female of Mauritian origin using a whole-genome shotgun sequencing approach. We applied a template switch strategy which employs either the rhesus or the human genome to assemble sequence reads. The 6-fold sequence coverage of the draft genome sequence enabled discovery of about 2.1 million potential single-nucleotide polymorphisms based on occurrence of a dimorphic nucleotide at a given position in the genome sequence. Homology-based annotation allowed us to identify 17,387 orthologs of human protein-coding genes in the M. fascicularis draft genome and the predicted transcripts enabled the design of a M. fascicularis-specific gene expression microarray. Using liver samples from 36 individuals of different geographic origin, we identified 718 genes with highly variable expression in liver, whereas the majority of the transcriptome shows relatively stable and comparable expression. Knowledge of the M. fascicularis draft genome is an important contribution to both the use of this animal in disease models and the safety assessment of drugs and their metabolites. In particular, this information allows high-resolution genotyping and microarray-based gene expression profiling for animal stratification, thereby allowing the use of well-characterized animals for safety testing. Finally, the genome sequence presented here is a significant contribution to the global "3R" animal welfare initiative, which has the goal to reduce, refine and replace animal experiments. A 36-microarray study using total RNA recovered from liver samples of untreated Cynomolgus monkeys of good laboratory practice (GLP) drug safety studies. The monkeys were from the Philippines, a Chinese colony, and Mauritius. Each microarray measures the expression level of 16,896 genes using 20,047 probe sets with six 60-mer probes (PM) per probe set. Each probe set is represented once on the array. The Cynomolgus monkey gene expression results analyzed in this study are further described in Ebeling et al. (2011) (PMID 21862625).

Dataset Information

Macaca fascicularis liver LC-MS/MS

Publications

Multi-Omics Comparison of the Spontaneous Diabetes Mellitus and Diet-Induced Prediabetic Macaque Models.

Similar Datasets

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