FOS gene associated immune infiltration signature in perivascular adipose tissues of abdominal aortic aneurysm.

Abdominal aortic aneurysms (AAA) are pathological dilations in local aortic wall. The inflammatory infiltrates of the perivascular adipose tissue (PAT) surrounding AAAs were associated with AAAs and have been shown to contribute vascular pathology. However, the mechanism by which PAT inflammation contributes to vascular pathology in AAA remains to be clarified. This study aimed to explore the association between immune cell infiltration and key gene expression profile in PAT of AAA. For that, a gene expression dataset of human dilated perivascular adipose tissue (dPAT), non-dilated perivascular adipose tissue (ndPAT), subcutaneous abdominal fat (SAF) and omental-visceral fat (OVF) samples, as well as another microarray dataset of the abdominal perivascular adipose tissue in peripheral artery disease patients were downloaded from GEO database for analysis in this study. The CIBERSORT algorithm, weighted gene co-expression network analysis (WGCNA) and LASSO algorithm were used for the identification of immune infiltration, immune-related genes and the development of diagnostic signature. Our data discovered a significant higher proportion of activated mast cells and follicular helper T (Tfh) cells in dPAT than ndPAT, OVT and SAF samples. Moreover, AP-1 family members (FOS, FOSB, ATF3, JUN and JUNB) were found to compose the hub genes of purple module in WGCNA. Among them, FOS gene acts as a higher efficient marker to discriminate dPAT from ndPAT, OVT and SAF in AAA. Meanwhile, the expression profiles of the AP-1 family members are all significantly positive correlated with activated mast cell, plasma cell and Tfh cell infiltration in dPAT of AAA. Therefore, in the PAT surrounding AAA, the signature of inflammatory infiltration might be represented by a FOS-dominated cell network consist of activated mast cell, plasma cell and Tfh cell. Given the complicated etiology of AAA, our results are likely to shed new light on the pathophysiologic mechanism of AAA influenced by the local dPAT.

The complete mitochondrial genome sequence of the Daweishan Mini chicken.

Daweishan Mini chicken is a valuable chicken breed in China. In this study, the complete mitochondrial genome sequence of Daweishan Mini chicken using PCR amplification, sequencing and assembling has been obtained for the first time. The total length of the mitochondrial genome was 16,785 bp, with the base composition of 30.26% A, 23.73% T, 32.51% C, 13.51% G. It contained 37 genes (2 ribosomal RNA genes, 13 protein-coding genes, 22 transfer RNA genes) and a major non-coding control region (D-loop region). The protein start codons are ATG, except for COX1 that begins with GTG. The complete mitochondrial genome sequence of Daweishan Mini chicken provides an important data set for further investigation on the phylogenetic relationships within Gallus gallus.

Variability of miRNA expression during the differentiation of human embryonic stem cells into retinal pigment epithelial cells.

Embryonic stem cells (ESCs) and induced pluripotent stem cells can be induced to differentiate into retinal pigment epithelium (RPE). MiRNAs have been characterized and found playing important roles in the differentiation process of ESCs, but their length and sequence heterogeneity (isomiRs), and their non-canonical forms of miRNAs are underestimated or ignored. In this report, we found some non-canonical miRNAs (dominant isomiRs) in all differentiation stages, and 27 statistically significant editing sites were identified in 24 different miRNAs. Moreover, we found marked major-to-minor arm-switching events in 14 pre-miRNAs during the hESC to RPE cell differentiation phases. Our study for the first time reports exploring the variability of miRNA expression during the differentiation of hESCs into RPE cells and the results show that miRNA variability is a ubiquitous phenomenon in the ESC differentiation.

Identification of novel microRNAs in primates by using the synteny information and small RNA deep sequencing data.

Current technologies that are used for genome-wide microRNA (miRNA) prediction are mainly based on BLAST tool. They often produce a large number of false positives. Here, we describe an effective approach for identifying orthologous pre-miRNAs in several primates based on syntenic information. Some of them have been validated by small RNA high throughput sequencing data. This approach uses the synteny information and experimentally validated miRNAs of human, and incorporates currently available algorithms and tools to identify the pre-miRNAs in five other primates. First, we identified 929 potential pre-miRNAs in the marmoset in which miRNAs have not yet been reported. Then, we predicted the miRNAs in other primates, and we successfully re-identified most of the published miRNAs and found 721, 979, 650 and 639 new potential pre-miRNAs in chimpanzee, gorilla, orangutan and rhesus macaque, respectively. Furthermore, the miRNA transcriptome in the four primates have been re-analyzed and some novel predicted miRNAs have been supported by the small RNA sequencing data. Finally, we analyzed the potential functions of those validated miRNAs and explored the regulatory elements and transcription factors of some validated miRNA genes of interest. The results show that our approach can effectively identify novel miRNAs and some miRNAs that supported by small RNA sequencing data maybe play roles in the nervous system.