scholarly journals Methyl-binding DNA capture Sequencing for Patient Tissues

Author(s):  
Rohit R. Jadhav ◽  
Yao V. Wang ◽  
Ya-Ting Hsu ◽  
Joseph Liu ◽  
Dawn Garcia ◽  
...  

2021 ◽  
Vol 13 (7) ◽  
Author(s):  
Alvie Loufouma Mbouaka ◽  
Michelle Gamble ◽  
Christina Wurst ◽  
Heidi Yoko Jäger ◽  
Frank Maixner ◽  
...  

AbstractAlthough malaria is one of the oldest and most widely distributed diseases affecting humans, identifying and characterizing its presence in ancient human remains continue to challenge researchers. We attempted to establish a reliable approach to detecting malaria in human skeletons using multiple avenues of analysis: macroscopic observations, rapid diagnostic tests, and shotgun-capture sequencing techniques, to identify pathological changes, Plasmodium antigens, and Plasmodium DNA, respectively. Bone and tooth samples from ten individuals who displayed skeletal lesions associated with anaemia, from a site in southern Egypt (third to sixth centuries AD), were selected. Plasmodium antigens were detected in five of the ten bone samples, and traces of Plasmodium aDNA were detected in six of the twenty bone and tooth samples. There was relatively good synchronicity between the biomolecular findings, despite not being able to authenticate the results. This study highlights the complexity and limitations in the conclusive identification of the Plasmodium parasite in ancient human skeletons. Limitations regarding antigen and aDNA preservation and the importance of sample selection are at the forefront of the search for malaria in the past. We confirm that, currently, palaeopathological changes such as cribra orbitalia are not enough to be certain of the presence of malaria. While biomolecular methods are likely the best chance for conclusive identification, we were unable to obtain results which correspond to the current authentication criteria of biomolecules. This study represents an important contribution in the refinement of biomolecular techniques used; also, it raises new insight regarding the consistency of combining several approaches in the identification of malaria in past populations.



2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Komal Jain ◽  
Teresa Tagliafierro ◽  
Adriana Marques ◽  
Santiago Sanchez-Vicente ◽  
Alper Gokden ◽  
...  

AbstractInadequate sensitivity has been the primary limitation for implementing high-throughput sequencing for studies of tick-borne agents. Here we describe the development of TBDCapSeq, a sequencing assay that uses hybridization capture probes that cover the complete genomes of the eleven most common tick-borne agents found in the United States. The probes are used for solution-based capture and enrichment of pathogen nucleic acid followed by high-throughput sequencing. We evaluated the performance of TBDCapSeq to surveil samples that included human whole blood, mouse tissues, and field-collected ticks. For Borrelia burgdorferi and Babesia microti, the sensitivity of TBDCapSeq was comparable and occasionally exceeded the performance of agent-specific quantitative PCR and resulted in 25 to > 10,000-fold increase in pathogen reads when compared to standard unbiased sequencing. TBDCapSeq also enabled genome analyses directly within vertebrate and tick hosts. The implementation of TBDCapSeq could have major impact in studies of tick-borne pathogens by improving detection and facilitating genomic research that was previously unachievable with standard sequencing approaches.



Author(s):  
Malcolm Turk Hsern Tan ◽  
Si Xian Ho ◽  
Justin Jang Hann Chu ◽  
Dan Li
Keyword(s):  


Lab on a Chip ◽  
2012 ◽  
Vol 12 (23) ◽  
pp. 4992 ◽  
Author(s):  
E. Servoli ◽  
H. Feitsma ◽  
B. Kaptheijns ◽  
P. J. van der Zaag ◽  
R. Wimberger-Friedl
Keyword(s):  


2021 ◽  
Author(s):  
Tomasz Suchan ◽  
Ludovic Orlando

Supplemental Information for: Suchan, T., Kusliy, M.A., Khan, N., Chauvey, L., Tonasso-Calvière, L., Schiavinato, S., Southon, J., Keller, M., Kitagawa, K., Krause, J., Bessudnov, A.N., Bessudnov, A.A., Graphodatsky, A.S., Lamas, S.V., Wilczyński, J., Pospuła, S., Tunia, K., Nowak, M., Moskal-delHoyo, M., Tishkin, A.A., Pryor, A.J.E., Outram, A.K., Orlando, L. (2021) Performance and automation of ancient DNA capture with RNA hyRAD probes. Molecular Ecology Resources, doi: 10.1111/1755-0998.13518



2014 ◽  
Vol 15 (2) ◽  
pp. R35 ◽  
Author(s):  
Andrea Riebler ◽  
Mirco Menigatti ◽  
Jenny Z Song ◽  
Aaron L Statham ◽  
Clare Stirzaker ◽  
...  


Author(s):  
Harsha Doddapaneni ◽  
Sara Javornik Cregeen ◽  
Richard Sucgang ◽  
Qingchang Meng ◽  
Xiang Qin ◽  
...  

AbstractThe newly emerged and rapidly spreading SARS-CoV-2 causes coronavirus disease 2019 (COVID-19). To facilitate a deeper understanding of the viral biology we developed a capture sequencing methodology to generate SARS-CoV-2 genomic and transcriptome sequences from infected patients. We utilized an oligonucleotide probe-set representing the full-length genome to obtain both genomic and transcriptome (subgenomic open reading frames [ORFs]) sequences from 45 SARS-CoV-2 clinical samples with varying viral titers. For samples with higher viral loads (cycle threshold value under 33, based on the CDC qPCR assay) complete genomes were generated. Analysis of junction reads revealed regions of differential transcriptional activity and provided evidence of expression of ORF10. Heterogeneous allelic frequencies along the 20kb ORF1ab gene suggested the presence of a defective interfering viral RNA species subpopulation in one sample. The associated workflow is straightforward, and hybridization-based capture offers an effective and scalable approach for sequencing SARS-CoV-2 from patient samples.



Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 888-888 ◽  
Author(s):  
Peter Stewart ◽  
Jana Gazdova ◽  
Nikos Darzentas ◽  
Dorte Wren ◽  
Paula Proszek ◽  
...  

Introduction: Current diagnostic standards for lymphoproliferative disorders include detection of clonal immunoglobulin (IG) and/or T cell receptor (TR) rearrangements, translocations, copy number alterations (CNA) and somatic mutations. These analyses frequently require a series of separate tests such as clonality PCR, fluorescence in situ hybridisation and/or immunohistochemistry, MLPA or SNParrays and sequencing. The EuroClonality-NGS DNA capture (EuroClonality-NDC) panel, developed by the EuroClonality-NGS Working Group, was designed to characterise all these alterations by capturing variable, diversity and joining IG and TR genes along with additional clinically relevant genes for CNA and mutation analysis. Methods: Well characterised B and T cell lines (n=14) representing a diverse repertoire of IG/TR rearrangements were used as a proficiency assessment to ensure 7 testing EuroClonality centres achieved optimal sequencing performance using the EuroClonality-NDC optimised and standardised protocol. A set of 56 IG/TR rearrangements across the 14 cell lines were compiled based on detection by Sanger, amplicon-NGS and capture-NGS sequencing technologies. For clinical validation of the NGS panel, clinical samples representing both B and T cell malignancies (n=280), with ≥ 5% tumour infiltration were collected from 10 European laboratories, with 88 (31%) being formalin fixed paraffin-embedded samples. Samples were distributed to the 7 centres for library preparation, hybridisation with the EuroClonality-NDC panel and sequencing on a NextSeq 500, using the EuroClonality-NDC standard protocol. Sequencing data were analysed using a customised version of ARResT/Interrogate, with independent review of the results by 2 centres. All cases exhibiting discordance between the benchmark and capture NGS results were submitted to an internal review committee comprising members of all participating centres. Results: All 7 testing centres detected all 56 rearrangements of the proficiency assessment and continued through to the validation phase. A total of 10/280 (3.5%) samples were removed from the validation analysis due to NGS failures (n=1), tumour infiltration < 5% (n=7), and sample misidentification (n=2). The EuroClonality-NDC panel detected B cell clonality (i.e. detection of at least one clonal rearrangement at IGH, IGK or IGL loci) in 189/197 (96%) B cell malignancies. Seven of the 8 discordant cases were post-germinal centre malignancies exhibiting Ig somatic hypermutation. The EuroClonality-NDC panel detected T cell clonality (i.e. detection of at least one clonal rearrangement at TRA, TRB, TRD or TRG loci) in 70/73 (96%) T cell malignancies. In all 3 discordant cases analysis of benchmark PCR data was not able to detect clonality at any TR loci. Next, we examined whether the EuroClonality-NDC panel could detect clonality at each of the individual loci, resulting in sensitivity values of 95% or higher for all IG/TR loci, with the exception of those where limited benchmark data were available, i.e. IGL (n=3) and TRA (n=7). The specificity of the panel was assessed on benign reactive lesions (n=21) that did not contain clonal IG/TR rearrangements based on BIOMED-2/EuroClonality PCR results; no clonality was observed by EuroClonality-NDC in any of the 21 cases. Limit of detection (LOD) assessment to detect IG/TR rearrangements was performed using cell line blends with each of the 7 centres receiving blended cell lines diluted to 10%, 5.0%, 2.5% and 1.25%. Across all 7 centres the overall detection rate was 100%, 94.1%, 76.5% and 32.4% respectively, giving an overall LOD of 5%. Sufficient data were available in 239 samples for the analysis of translocations. The correct translocation was detected in 137 out of 145 cases, resulting in a sensitivity of 95%. Table 1 shows how translocations identified by the EuroClonality-NDC protocol were restricted to disease subtypes known to harbour those types of translocations. Analysis of CNA and somatic mutations in all samples is underway and will be presented at the meeting. Conclusions: The EuroClonality-NDC panel, with an optimised laboratory protocol and bioinformatics pipeline, detects IG and TR rearrangements and translocations with high sensitivity and specificity with a LOD ≤ 5% and provides a single end-to-end workflow for the simultaneous detection of IG/TR rearrangements, translocations, CNA and sequence variants. Table. Disclosures Stamatopoulos: Janssen: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding. Klapper:Roche, Takeda, Amgen, Regeneron: Honoraria, Research Funding. Ferrero:Gilead: Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; EUSA Pharma: Membership on an entity's Board of Directors or advisory committees; Servier: Speakers Bureau. van den Brand:Gilead: Speakers Bureau. Groenen:Gilead: Speakers Bureau. Brüggemann:Incyte: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy. Langerak:Gilead: Research Funding, Speakers Bureau; F. Hoffmann-La Roche Ltd: Research Funding; Genentech, Inc.: Research Funding; Janssen: Speakers Bureau. Gonzalez:Roche: Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau.



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