SARS-CoV-2 Variant Identification Using a Genome Tiling Array and Genotyping Probes

With over three million deaths worldwide attributed to the respiratory disease COVID-19 caused by the novel coronavirus SARS-CoV-2, it is essential that continued efforts be made to track the evolution and spread of the virus globally. We previously presented a rapid and cost-effective method to sequence the entire SARS-CoV-2 genome with 95% coverage and 99.9% accuracy. This method is advantageous for identifying and tracking variants in the SARS-CoV-2 genome when compared to traditional short read sequencing methods which can be time consuming and costly. Herein we present the addition of genotyping probes to our DNA chip which target known SARS-CoV-2 variants. The incorporation of the genotyping probe sets along with the advent of a moving average filter have improved our sequencing coverage and accuracy of the SARS-CoV-2 genome.

Genome-Wide Tiling Array Analysis of HPV-Induced Warts Reveals Aberrant Methylation of Protein-Coding and Non-Coding Regions

The human papillomaviruses (HPV) are a group of double-stranded DNA viruses that exhibit an exclusive tropism for squamous epithelia. HPV can either be low- or high-risk depending on its ability to cause benign lesions or cancer, respectively. Unsurprisingly, the majority of epigenetic research has focused on the high-risk HPV types, neglecting the low-risk types in the process. Therefore, the main objective of this study is to better understand the epigenetics of wart formation by investigating the differences in methylation between HPV-induced cutaneous warts and normal skin. A number of clear and very significant differences in methylation patterns were found between cutaneous warts and normal skin. Around 55% of the top-ranking 100 differentially methylated genes in warts were protein coding, including the EXOC4, KCNU, RTN1, LGI1, IRF2, and NRG1 genes. Additionally, non-coding RNA genes, such as the AZIN1-AS1, LINC02008, and MGC27382 genes, constituted 11% of the top-ranking 100 differentially methylated genes. Warts exhibited a unique pattern of methylation that is a possible explanation for their transient nature. Since the genetics of cutaneous wart formation are not completely known, the findings of the present study could contribute to a better understanding of how HPV infection modulates host methylation to give rise to warts in the skin.

Transcriptional Regulation of Ovarian Steroidogenic Genes: Recent Findings Obtained from Stem Cell-Derived Steroidogenic Cells

Ovaries represent one of the primary steroidogenic organs, producing estrogen and progesterone under the regulation of gonadotropins during the estrous cycle. Gonadotropins fluctuate the expression of various steroidogenesis-related genes, such as those encoding steroidogenic enzymes, cholesterol deliverer, and electronic transporter. Steroidogenic factor-1 (SF-1)/adrenal 4-binding protein (Ad4BP)/NR5A1 and liver receptor homolog-1 (LRH-1) play important roles in these phenomena via transcriptional regulation. With the aid of cAMP, SF-1/Ad4BP and LRH-1 can induce the differentiation of stem cells into steroidogenic cells. This model is a useful tool for studying the molecular mechanisms of steroidogenesis. In this article, we will provide insight into the transcriptional regulation of steroidogenesis-related genes in ovaries that are revealed from stem cell-derived steroidogenic cells. Using the cells derived from the model, novel SF-1/Ad4BP- and LRH-1-regulated genes were identified by combined DNA microarray and promoter tiling array analyses. The interaction of SF-1/Ad4BP and LRH-1 with transcriptional regulators in the regulation of ovarian steroidogenesis was also revealed.

A tiling array-based comparative genomic hybridization approach to predict copy number variations between Plasmodium falciparum field isolates from the Indian Sub-continent

Background: There are several techniques to analyse copy number variation in both research and clinical settings, such as whole genome amplification (sWGA), SNP arrays and one of the most commonly used techniques, array based comparative genomic hybridization (aCGH). In the latter, copy number comparison is obtained between differentially labelled target and reference DNAs by measuring ratio of fluorescence intensity of probes indicating loss or gain in the chromosomal region. Methods: Here we carry out a comparative analysis between two Plasmodium falciparum parasite isolates (Pf-isolate-2 and Pf-isolate-1) causing malaria using array CGH. The array contains approximately 418,577, 60mer custom-designed probes with an average probe spacing of 56 bp. The significant major variations (amplifications and deletions) copy number variations (CNV) in Pf-isolate-2 (Pf-2) in comparison with Pf-isolate-1 (Pf-1), are reported. Results: CNVs have been seen in all the chromosomes in Pf-2, most of the deletions have been seen mostly in sub-telomeric and telomeric regions of the chromosomes that comprises of variant surface antigen family genes. Apart from the subtelomeric regions other parts of the chromosomes have also shown CNVs. Novel variations , like continuous amplification of 28kb region (249817-278491) of chromosome-8, which covers for 3 genes two of which codes for conserved Plasmodium proteins with unknown function (MAL8P1.139, PF08_0122) and tRNA pseudouridine synthase, putative (PF08_0123). Amplifications in regions harboring genes like GTP cyclohydrolase I (GCH-1, PFL1155W) and ribosomal protein, L24, putative (PFL1150C) of chromosome 12 were seen. Conclusion: Other than known variations reported earlier, some novel variations have also been seen in the chromosomes of Pf-2. This is an experimental case study reporting major amplifications and deletions in Pf-isolate-2 in comparison with Pf-isolate-1 using a tiling array based comparative genomic hybridization approach.

KIRREL is differentially expressed in adipose tissue from ‘fertil+’ and ‘fertil−’ cows: in vitro role in ovary?

We have previously shown that dairy cows carrying the ‘fertil−’ haplotype for one quantitative trait locus affecting female fertility located on the bovine chromosome three (QTL-F-Fert-BTA3) have a significantly lower conception rate and body weight after calving than cows carrying the ‘fertil+’ haplotype. Here, we compared by Tiling Array the expression of genes included in the QTL-F-Fert-BTA3 in ‘fertil+’ and ‘fertil−’ adipose tissue one week after calving when plasma non-esterified fatty acid concentrations were greater in ‘fertil−’ animals. We observed that thirty-one genes were overexpressed whereas twelve were under-expressed in ‘fertil+’ as compared to ‘fertil−’ cows (P < 0.05). By quantitative PCR and immunoblot we confirmed that adipose tissue KIRREL mRNA and protein were significantly greater expressed in ‘fertil+’ than in ‘fertil−’. KIRREL mRNA is abundant in bovine kidney, adipose tissue, pituitary, and ovary and detectable in hypothalamus and mammary gland. Its expression (mRNA and protein) is greater in kidney of ‘fertil+’ than ‘fertil−’ cows (P < 0.05). KIRREL (mRNA and protein) is also present in the different ovarian cells with a greater expression in granulosa cells of ‘fertil+’ than ‘fertil−’ cows. In cultured granulosa cells, recombinant KIRREL halved steroid secretion in basal state (P < 0.05). It also decreased cell proliferation (P < 0.05) and in vitro oocyte maturation (P < 0.05). These results were associated to a rapid increase in MAPK1/3 and MAPK14 phosphorylation in granulosa cells and to a decrease in MAPK1/3 phosphorylation in oocyte. Thus, KIRREL could be a potential metabolic messenger linking body composition and fertility.

The first decade of estrogen receptor cistromics in breast cancer

The advent of genome-wide transcription factor profiling has revolutionized the field of breast cancer research. Estrogen receptor α (ERα), the major drug target in hormone receptor-positive breast cancer, has been known as a key transcriptional regulator in tumor progression for over 30 years. Even though this function of ERα is heavily exploited and widely accepted as an Achilles heel for hormonal breast cancer, only since the last decade we have been able to understand how this transcription factor is functioning on a genome-wide scale. Initial ChIP-on-chip (chromatin immunoprecipitation coupled with tiling array) analyses have taught us that ERα is an enhancer-associated factor binding to many thousands of sites throughout the human genome and revealed the identity of a number of directly interacting transcription factors that are essential for ERα action. More recently, with the development of massive parallel sequencing technologies and refinements thereof in sample processing, a genome-wide interrogation of ERα has become feasible and affordable with unprecedented data quality and richness. These studies have revealed numerous additional biological insights into ERα behavior in cell lines and especially in clinical specimens. Therefore, what have we actually learned during this first decade of cistromics in breast cancer and where may future developments in the field take us?