Novel, abundant Drosha isoforms are deficient in miRNA processing in cancer cells.

MicroRNAs (miRNAs) are a class of small noncoding RNAs about 22-nucleotide (nt) in length that collectively regulate more than 60% of coding genes. Aberrant miRNA expression is associated with numerous diseases, including cancer. miRNA biogenesis is licenced by the ribonuclease (RNase) III enzyme Drosha, the regulation of which is critical in determining miRNA levels. We and others have previously revealed that alternative splicing regulates the subcellular localization of Drosha. To further investigate the alternative splicing landscape of Drosha transcripts, we performed PacBio sequencing in different human cell lines. We identified two novel isoforms resulting from partial intron-retention in the region encoding the Drosha catalytic domain. One isoform (AS27a) generates a truncated protein that is unstable in cells. The other (AS32a) produces a full-length Drosha with a 14 amino acid insertion in the RIIID domain. By taking advantage of Drosha knockout cells in combination with a previously established reporter assay, we demonstrated that Drosha-AS32a lacks cleavage activity. Furthermore, neither Drosha-27a nor Drosha-32a were able to rescue miRNA expression in the Drosha knockout cells. Interestingly, both isoforms were abundantly detected in a wide range of cancer cell lines (up to 15% of all Drosha isoforms). Analysis of the RNA-seq data from over 1000 breast cancer patient samples revealed that the AS32a is relatively more abundant in tumours than in normal tissue, suggesting that AS32a may play a role in cancer development.

Deep Sequencing and Screening of Differentially Expressed MicroRNAs Related to Milk Fat Metabolism in Bovine Primary Mammary Epithelial Cells.

Milk fat is a key factor affecting milk quality and is also a major trait targeted in dairy cow breeding. To determine how the synthesis and the metabolism of lipids in bovine milk is regulated at the miRNA level, primary mammary epithelial cells (pMEC) derived from two Chinese Holstein dairy cows that produced extreme differences in milk fat percentage were cultured by the method of tissue nubbles culture. Small RNA libraries were constructed from each of the two pMEC groups, and Solexa sequencing and bioinformatics analysis were then used to determine the abundance of miRNAs and their differential expression pattern between pMECs. Target genes and functional prediction of differentially expressed miRNAs by Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes analysis illustrated their roles in milk fat metabolism. Results show that a total of 292 known miRNAs and 116 novel miRNAs were detected in both pMECs. Identification of known and novel miRNA candidates demonstrated the feasibility and sensitivity of sequencing at the cellular level. Additionally, 97 miRNAs were significantly differentially expressed between the pMECs. Finally, three miRNAs including bta-miR-33a, bta-miR-152 and bta-miR-224 whose predicted target genes were annotated to the pathway of lipid metabolism were screened and verified by real-time qPCR and Western-blotting experiments. This study is the first comparative profiling of the miRNA transcriptome in pMECs that produce different milk fat content.

Construction of fat1 Gene Expression Vector and Its Catalysis Efficiency in Bovine Fetal Fibroblast Cells.

The FAT-1 protein is an n-3 fatty acid desaturase, which can recognize a range of 18- and 20-carbon n-6 substrates and transform n-6 polyunsaturated fatty acids (PUFAs) into n-3 PUFAs while n-3 PUFAs have beneficial effect on human health. Fat1 gene is the coding sequence from Caenorhabditis elegans which might play an important role on lipometabolism. To reveal the function of fat1 gene in bovine fetal fibroblast cells and gain the best cell nuclear donor for transgenic bovines, the codon of fat1 sequence was optimized based on the codon usage frequency preference of bovine muscle protein, and directionally cloned into the eukaryotic expression vector pEF-GFP. After identifying by restrictive enzyme digests with AatII/XbaI and sequencing, the fusion plasmid pEF-GFP-fat1 was identified successfully. The pEF-GFP-fat1 vector was transfected into bovine fetal fibroblast cells mediated by Lipofectamine2000(TM). The positive bovine fetal fibroblast cells were selected by G418 and detected by RT-PCR. The results showed that a 1,234 bp transcription was amplified by reverse transcription PCR and the positive transgenic fat1 cell line was successfully established. Then the expression level of fat1 gene in positive cells was detected using quantitative PCR, and the catalysis efficiency was detected by gas chromatography. The results demonstrated that the catalysis efficiency of fat1 was significantly high, which can improve the total PUFAs rich in EPA, DHA and DPA. Construction and expression of pEF-GFP-fat1 vector should be helpful for further understanding the mechanism of regulation of fat1 in vitro. It could also be the first step in the production of fat1 transgenic cattle.

AGO-bound mature miRNAs are oligouridylated by TUTs and subsequently degraded by DIS3L2.

MicroRNAs (miRNAs) associated with Argonaute proteins (AGOs) regulate gene expression in mammals. miRNA 3' ends are subject to frequent sequence modifications, which have been proposed to affect miRNA stability. However, the underlying mechanism is not well understood. Here, by genetic and biochemical studies as well as deep sequencing analyses, we find that AGO mutations disrupting miRNA 3' binding are sufficient to trigger extensive miRNA 3' modifications in HEK293T cells and in cancer patients. Comparing these modifications in TUT4, TUT7 and DIS3L2 knockout cells, we find that TUT7 is more robust than TUT4 in oligouridylating mature miRNAs, which in turn leads to their degradation by the DIS3L2 exonuclease. Our findings indicate a decay machinery removing AGO-associated miRNAs with an exposed 3' end. A set of endogenous miRNAs including miR-7, miR-222 and miR-769 are targeted by this machinery presumably due to target-directed miRNA degradation.

Comments on duck circovirus (DuCV) genotype definition.

A standardised methodology has been used to define genotypes based on pairwise sequence comparisons (PASC). PASC is a widely accepted method in virus taxonomy, which is based on the histogram of pairwised differences among sequences. Recently, Zhang et al. (2013) concluded that the average p-distance of duck circovirus (DuCV) between genotypes 1 and 2 was 0.170, and subtype distance thresholds were 0.032 in DuCV-1 and 0.018 in DuCV-2, respectively. However, there might be some concerns on the methodology application to define the genotype of DuCV. Taking into account the concerns mentioned above, our authors conducted the PASC analyses of 54 capsid gene (ORF2) and genomic sequences including all the sequences from Zhang et al. (2013). Our results confirmed the existence of two DuCV genotypes (1 and 2) and, we suggest that DuCV ORF2 and genomic distance genotype thresholds were 0.061 and 0.038, respectively.

Duck hepatitis A virus (DHAV) genotype definition: comment on the article by Cha et al.

Duck hepatitis A virus (DHAV) is genetically divided into three different genotypes: the original type DHAV-1, a type recently isolated in Taiwan (DHAV-2), and a recently described type isolated in South Korea and China (DHAV-3). Recently, Cha et al. (2013) concluded that the existence that both DHAV-1 and DHAV-2 had been classified into one branch, with DHAV genotype 3 (DHAV-3) in another, and that the phylogenetic distance unit showed was 0.5, a tremendous value. However, there might be some concerns on the methodology application to define the genotypes of DHAV. Based on 110 genomic and 100 amino acid sequences of DHAV which included all the sequences from Cha et al. (2013) respectively, phylogenetic analysis in the present study showed a distinct and proposed DHAV genotype definition, that both DHAV-2 and DHAV-3 were clustered in one branch while DHAV-1 in another branch only, and that the phylogenetic distance unit of 0.02 was confirmed, which was much smaller than the value 0.5. Taking into account the genotype definition of DHAV, we also conducted the pairwise sequence comparisons (PASC) analysis of 110 genomic sequences, and proposed that the distance genotype definition threshold was 0.045.

[Preparation and characterization of polyclonal antibodies against haplotype chicken natural killer cell receptor B-NK19 and B-NK21].

OBJECTIVE: To express natural killer (NK) cell inhibitory receptor gene B-NK of B19 and B21 haplotype chicken, which show different susceptible to various avian diseases, using prokaryotic expression system, and to prepare B-NK19 and B-NK21-specific rabbit polyclonal antibodies. METHODS: B-NK genes of B19 (named as B-NK19) and B21 (named as B-NK21) chicken were amplified by reverse transcription PCR from peripheral blood lymphocytes of one B19 or B21 chicken, respectively, and then inserted into an expression vector of pET-30a. The recombinant plasmids of pET-B-NK19 and pET-B-NK21 were transformed into E.coli (DE3) and induced to express, respectively. Both His-tagged foreign proteins of B-NK19 and B-NK21 were seperated by SDS-PAGE and immunized to New Zealand rabbits to prepare polyclonal antibodies. The MHC-specificities of the sera were analyzed by Western blotting. RESULTS: The chicken NK cell inhibitory receptor gene B-NK from MHC haplotypes B19 and B21 were successfully amplified, cloned and expressed in E.coli after induction with 1.0 mmol/mL IPTG for 4 h at 37°C, respectively. Western blotting revealed that the prepared rabbit serum antibodies positively reacted to the expressed foreign proteins. CONCLUSION: Chicken NK cell inhibitory receptor proteins B-NK of B19 and B21 haplotypes could immunologically cross-react and their polyclonal antibodies are partially specific to B complex.

A comparative profile of the microRNA transcriptome in immature and mature porcine testes using Solexa deep sequencing.

MicroRNAs (miRNAs) are small noncoding regulatory RNAs that play key roles in many diverse biological processes such as spermatogenesis. However, no study has been performed on the miRNA transcriptome of developing porcine testes. Here, we employed Solexa deep sequencing technology to extend the repertoire of porcine testis miRNAs and extensively compare the expression patterns of sexually immature and mature porcine testes. Solexa sequencing of two small RNA libraries derived from immature (30 days) and mature (180 days) pig testis samples yielded over 25 million high-quality reads. Overall, the two developmental stages had significantly different small RNA compositions. A custom data analysis pipeline identified 398 known and/or homologous conserved porcine miRNAs, 15 novel pig-specific miRNAs and 56 novel candidate miRNAs. We further observed multiple mature miRNA variants and identified a new bidirectional transcribed miRNA locus, ssc-mir-181a. A total of 122 miRNAs were differentially expressed in the immature and mature testes, and 10 were validated using quantitative RT-PCR. Furthermore, GO and KEGG pathway analyses of the predicted miRNA targets further illustrate the likely roles for these differentially expressed miRNAs in spermatogenesis. This study is the first comparative profile of the miRNA transcriptome in immature and mature porcine testes using a deep sequencing approach, and it provides a useful resource for future studies on the role of miRNAs in spermatogenesis and male infertility treatment.