Primer Library Research Articles

Exercising the Sanger Sequencing Strategy for Variants Screening and Full-Length Genome of SARS-CoV-2 Virus during Alpha, Delta, and Omicron Outbreaks in Hiroshima.

This study aimed to exercise the Sanger sequencing strategy for screening of variants among confirmed COVID-19 cases and validate our strategy against NGS strains in Hiroshima retrieved from GISAID. A total of 660 samples from confirmed COVID-19 cases underwent screening for variants by Sanger-based partial sequencing to the targeted spike gene (nt22,735~nt23,532) using an in-house-developed primer set. The identification of variants was done by unique checkpoints of base nucleotide changes in the targeted spike gene. Moreover, we amplified one full-length genome using Sanger method and an in-house-developed primer library. Using NGS strains of the same sampling period from GISAID, a phylogenetic tree was constructed to examine the distribution pattern of variants in Hiroshima and to validate our Sanger method. The modified primer set provided 100% validation and 99.2% amplification. PANGO Lineage R.1 was detected in late in the third wave, followed by Alpha (B.1.1.7) domination in the fourth wave, Delta (B.1.617.2) domination in the fifth wave, and Omicron (B.1.1.529) domination in the sixth wave, and there was no significant difference in viral copies between variants (p = 0.09). The variants showed different transmission patterns, but the distribution of variants is consistent to that shown by the phylogenetic tree. The Sanger method also provided successful amplification of the full-length genome of the SARS-CoV-2 virus. Our Sanger sequencing strategy was useful for the screening of SASR-CoV-2 variants without the need for full-genome amplification. The modified primer set was validated to use universally, which allows an understanding of the variants’ distribution in real time and provides the evidence for policy-making and the formulation or modification of preventive strategies.

A multistage sequencing strategy pinpoints novel candidate alleles for Emery-Dreifuss muscular dystrophy and supports gene misregulation as its pathomechanism.

BackgroundAs genome-wide approaches prove difficult with genetically heterogeneous orphan diseases, we developed a new approach to identify candidate genes. We applied this to Emery-Dreifuss muscular dystrophy (EDMD), characterised by early onset contractures, slowly progressive muscular wasting, and life-threatening heart conduction disturbances with wide intra- and inter-familial clinical variability. Roughly half of EDMD patients are linked to six genes encoding nuclear envelope proteins, but the disease mechanism remains unclear because the affected proteins function in both cell mechanics and genome regulation.MethodsA primer library was generated to test for mutations in 301 genes from four categories: (I) all known EDMD-linked genes; (II) genes mutated in related muscular dystrophies; (III) candidates generated by exome sequencing in five families; (IV) functional candidates — other muscle nuclear envelope proteins functioning in mechanical/genome processes affected in EDMD. This was used to sequence 56 unlinked patients with EDMD-like phenotype.FindingsTwenty-one patients could be clearly assigned: 18 with mutations in genes of similar muscular dystrophies; 3 with previously missed mutations in EDMD-linked genes. The other categories yielded novel candidate genes, most encoding nuclear envelope proteins with functions in gene regulation.InterpretationOur multi-pronged approach identified new disease alleles and many new candidate EDMD genes. Their known functions strongly argue the EDMD pathomechanism is from altered gene regulation and mechanotransduction due to connectivity of candidates from the nuclear envelope to the plasma membrane. This approach highlights the value of testing for related diseases using primer libraries and may be applied for other genetically heterogeneous orphan diseases.FundingThe Wellcome Trust, Muscular Dystrophy UK, Medical Research Council, European Community's Seventh Framework Programme “Integrated European –omics research project for diagnosis and therapy in rare neuromuscular and neurodegenerative diseases (NEUROMICS)”.

PARP1 facilitates EP300 recruitment to the promoters of the subset of RBL2-dependent genes

Differentiation of human monocytes is associated with proliferation arrest resulting from activation of the inter alia retinoblastoma protein family of gene repressors, which target gene promoters in an E2F-dependent manner. To investigate RBL2 contribution to defining monocyte phenotype and function, we used primer libraries. We identified genes encoding two surface receptors (CXCR1 and IL17RE) and two TLR signaling mediators (CD86 and NFKB2) that are repressed by the RBL2-E2F4-HDAC1-BRM complex. Surprisingly, PARP1 co-regulated 24 out of the 28 identified genes controlled by RBL2. Upon RBL2 silencing, PARP1 was recruited to one subset of RBL2-dependent genes, represented by MAP2K6 and MAPK3. RBL2 silencing also restored PARP1 transcription. Gene promoters enriched in PARP1 were characterized by increased histone acetylation and the replacement of HDAC1 with EP300. While PARP1 was dispensable for HDAC1 dissociation, EP300 was found only at gene promoters enriched in PARP1. EP300 activated transcription of PARP1/RBL2 co-regulated genes, but not genes solely controlled by RBL2. DNA was a prerequisite to the formation of an immunoprecipitated PARP1-EP300 complex, suggesting that PARP1 enabled EP300 binding, which in turn activated gene transcription. Notably, PARP1 overexpression failed to overcome the inhibitory effect of RBL2 on MAP2K6 and MAPK3 transcription. The same interdependence was observed in proliferating cancer cells; the low abundance of RBL2 resulted in PARP1-mediated EP300 recruitment to promoters of the MAP2K6 and MAPK3 genes. We conclude that RBL2 may indirectly regulate transcription of some genes by controlling PARP1-mediated EP300 recruitment.

PNA-COMBO-FISH: From combinatorial probe design in silico to vitality compatible, specific labelling of gene targets in cell nuclei

Recently, advantages concerning targeting specificity of PCR constructed oligonucleotide FISH probes in contrast to established FISH probes, e.g. BAC clones, have been demonstrated. These techniques, however, are still using labelling protocols with DNA denaturing steps applying harsh heat treatment with or without further denaturing chemical agents. COMBO-FISH (COMBinatorial Oligonucleotide FISH) allows the design of specific oligonucleotide probe combinations in silico. Thus, being independent from primer libraries or PCR laboratory conditions, the probe sequences extracted by computer sequence data base search can also be synthesized as single stranded PNA-probes (Peptide Nucleic Acid probes). Gene targets can be specifically labelled with at least about 20 PNA-probes obtaining visibly background free specimens. By using appropriately designed triplex forming oligonucleotides, the denaturing procedures can completely be omitted. These results reveal a significant step towards oligonucleotide-FISH maintaining the 3d-nanostructure and even the viability of the cell target. The method is demonstrated with the detection of Her2/neu and GRB7 genes, which are indicators in breast cancer diagnosis and therapy.

Phasing of single DNA molecules by massively parallel barcoding.

High-throughput sequencing platforms mainly produce short-read data, resulting in a loss of phasing information for many of the genetic variants analysed. For certain applications, it is vital to know which variant alleles are connected to each individual DNA molecule. Here we demonstrate a method for massively parallel barcoding and phasing of single DNA molecules. First, a primer library with millions of uniquely barcoded beads is generated. When compartmentalized with single DNA molecules, the beads can be used to amplify and tag any target sequences of interest, enabling coupling of the biological information from multiple loci. We apply the assay to bacterial 16S sequencing and up to 94% of the hypothesized phasing events are shown to originate from single molecules. The method enables use of widely available short-read-sequencing platforms to study long single molecules within a complex sample, without losing phase information.

Abstract 2220: Analyzing cancer with single cell resolution using droplet technology

Abstract Cancers develop and grow in the complex environments present in normal tissue, and tumor cells are composed of heterogeneous mixtures of both clonal transformed cells and other cell types. We demonstrate the use of microfluidic-generated single cell microdroplets in workflows that capture both phenotypic and genomic information from individual cells, enabling analysis of tumors with single cell resolution. This transformative new tool will allow for more thorough examinations of the variations that influence the predisposition and composition of cancers, and the cellular responses to therapeutic and prevention agents. Uniform picoliter-nanoliter volume aqueous droplets suspended in an immiscible oil provide unique opportunities for fluorescence-based analytical techniques, including sorting relevant sub-populations at rates of several hundred cells per second, coupled directly to single cell genomic characterization. We use a defined set of control samples to perform low-bias single cell whole genome amplification (WGA) within the sorted microdroplets, and show how following this with droplet PCR-based targeted amplification (of many thousands of selected genomic loci using a cancer-focused droplet primer library) provides an automated sample preparation method for any Next Gen sequencing platform. Single cell microdroplet technology results in a cost-effective method to gain sequence information from phenotypically selected individual cells, addressing cancer gene discovery and validation by powering the larger studies required to classify driver or passenger mutations and analyzing how epigenomic features (such as cytosine methylation) regulate transcriptional changes that can underlie cancer development. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2220.

StellaBase: The Nematostella vectensis Genomics Database

StellaBase, the Nematostella vectensis Genomics Database, is a web-based resource that will facilitate desktop and bench-top studies of the starlet sea anemone. Nematostella is an emerging model organism that has already proven useful for addressing fundamental questions in developmental evolution and evolutionary genomics. StellaBase allows users to query the assembled Nematostella genome, a confirmed gene library, and a predicted genome using both keyword and homology based search functions. Data provided by these searches will elucidate gene family evolution in early animals. Unique research tools, including a Nematostella genetic stock library, a primer library, a literature repository and a gene expression library will provide support to the burgeoning Nematostella research community. The development of StellaBase accompanies significant upgrades to CnidBase, the Cnidarian Evolutionary Genomics Database. With the completion of the first sequenced cnidarian genome, genome comparison tools have been added to CnidBase. In addition, StellaBase provides a framework for the integration of additional species-specific databases into CnidBase. StellaBase is available at .

T Cells Infiltrating the Skin of Tsk2 Scleroderma-Like Mice Exhibit T Cell Receptor Bias

The T cell repertoire expressed by Tsk2 mice, a novel experimental model of systemic sclerosis, was examined to determine whether cells infiltrating the areas of involved skin exhibit a T cell receptor (TCR) bias. Reverse transcription-polymerase chain reactions (RT-PCR) were conducted using RNA extracted from lymph nodes and skin from Tsk2 mice and from normal mice, with an oligonucleotide primer library specific for the variable region of the TCR (β) chain, RT-PCR signals were observed in all lymph node cell (LNC) samples from both Tsk2 mice and control mice, with eighteen of the twenty-one Vβ types present. In contrast, cDNA extracted from areas of involved skin from Tsk2 mice exhibited a restricted pattern, with positive Vβ signals corresponding to eight T cell subtypes (Vβ1, 6, 8.1, 8.2, 10, 11, 16, and 18). Band strength analysis revealed that three Vβ subtypes dominated within this restricted pattern (Vβ8.1, 11, and 18). Moreover, this pattern of VB bias was consistent among the four skin samples from different Tsk2 mice. These data suggest that a restricted T cell population participates in the inflammatory cell infiltrate of Tsk.2 skin.