scholarly journals Application of High-Throughput Sequencing in the Diagnosis of Inherited Thrombocytopenia

2018 ◽  
Vol 24 (9_suppl) ◽  
pp. 94S-103S ◽  
Author(s):  
Qi Wang ◽  
Lijuan Cao ◽  
Guangying Sheng ◽  
Hongjie Shen ◽  
Jing Ling ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Gene Sequencing ◽  
Hereditary Diseases ◽  
Sequencing Platform ◽  
Pathogenic Variants ◽  
Diagnosis Method ◽  
Inherited Thrombocytopenia ◽  
Thrombotic Diseases ◽  
Next Generation Sequencing Ngs

Inherited thrombocytopenia is a group of hereditary diseases with a reduction in platelet count as the main clinical manifestation. Clinically, there is an urgent need for a convenient and rapid diagnosis method. We introduced a high-throughput, next-generation sequencing (NGS) platform into the routine diagnosis of patients with unexplained thrombocytopenia and analyzed the gene sequencing results to evaluate the value of NGS technology in the screening and diagnosis of inherited thrombocytopenia. From a cohort of 112 patients with thrombocytopenia, we screened 43 patients with hereditary features. For the blood samples of these 43 patients, a gene sequencing platform for hemorrhagic and thrombotic diseases comprising 89 genes was used to perform gene detection using NGS technology. When we combined the screening results with clinical features and other findings, 15 (34.9%) of 43patients were diagnosed with inherited thrombocytopenia. In addition, 19 pathogenic variants, including 8 previously unreported variants, were identified in these patients. Through the use of this detection platform, we expect to establish a more effective diagnostic approach to such disorders.

scholarly journals Assessment of the Application and Clinical Value of Next-Generation Sequencing for the Diagnosis of Inherited Thrombocytopenia

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4993-4993
Author(s):  
Miao Jiang ◽  
Qi Wang ◽  
Yiming Zhao ◽  
Ziqiang Yu ◽  
Suning Chen ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Conflicts Of Interest ◽  
Gene Sequencing ◽  
Hereditary Diseases ◽  
Next Generation ◽  
Clinical Value ◽  
Sequencing Platform ◽  
Pathogenic Variants ◽  
Inherited Thrombocytopenia ◽  
Generation Sequencing

Abstract Inherited thrombocytopenia is a group of hereditary diseases with a reduction in platelet count as the main clinical manifestation. Clinically, there is an urgent need for a convenient and rapid diagnosis method. We introduced a high-throughput next-generation sequencing (NGS) platform into the routine diagnosis of patients with unexplained thrombocytopenia and analyzed the gene sequencing results to evaluate the value of NGS technology in the screening and diagnosis of inherited thrombocytopenia. From a cohort of 182 patients with thrombocytopenia, we screened 78 patients with hereditary features. For the blood samples of these 78 patients, a gene sequencing platform for hemorrhagic and thrombotic diseases comprising 89 genes was used to perform gene detection using NGS technology. When we combined the screening results with clinical features and other findings, 23 of 78 patients (29.5%) were diagnosed with inherited thrombocytopenia. In addition, 29 pathogenic variants, including 11 previously unreported variants, were identified in these patients. In summary, NGS could play more important role in the molecular pathology diagnosis of inherited thrombocytopenia. Through the use of this detection platform, we expect to establish a more effective diagnostic approach to such disorders. Disclosures No relevant conflicts of interest to declare.

Efficient High-throughput Techniques for the Analysis of Disease-Resistant Plant Varieties and Detection of Food Adulteration

2021 ◽  
Vol 23 ◽  
Author(s):  
Romesh Kumar Salgotra ◽  
Rafiq Ahmad Bhat ◽  
Deyue Yu ◽  
Javaid Akhter Bhat
Keyword(s):  
Multiplex Pcr ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Low Cost ◽  
Crop Improvement ◽  
Small Sample ◽  
Food Crops ◽  
Genomic Resources ◽  
Breeding Programmes ◽  
Next Generation Sequencing Ngs

Abstract: Over the past two decades, the advances in the next generation sequencing (NGS) platforms have led to the identification of numerous genes/QTLs at high-resolution for their potential use in crop improvement. The genomic resources generated through these high-throughput sequencing techniques have been efficiently used in screening of particular gene of interest particularly for numerous types of plant stresses and quality traits. Subsequently, the identified-markers linked to a particular trait have been used in marker-assisted backcross breeding (MABB) activities. Besides, these markers are also being used to catalogue the food crops for detection of adulteration to improve the quality of food. With the advancement of technologies, the genomic resources are originating with new markers; however, to use these markers efficiently in crop breeding, high-throughput techniques (HTT) such as multiplex PCR and capillary electrophoresis (CE) can be exploited. Robustness, ease of operation, good reproducibility and low cost are the main advantages of multiplex PCR and CE. The CE is capable of separating and characterizing proteins with simplicity, speed and small sample requirements. Keeping in view the availability of vast data generated through NGS techniques and development of numerous markers, there is a need to use these resources efficiently in crop improvement programmes. In summary, this review describes the use of molecular markers in the screening of resistance genes in breeding programmes and detection of adulterations in food crops using high-throughput techniques.

scholarly journals A high-throughput sequencing test for diagnosing inherited bleeding, thrombotic, and platelet disorders

Blood ◽  
2016 ◽  
Vol 127 (23) ◽  
pp. 2791-2803 ◽  
Author(s):  
Ilenia Simeoni ◽  
Jonathan C. Stephens ◽  
Fengyuan Hu ◽  
Sri V. V. Deevi ◽  
Karyn Megy ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Genetic Test ◽  
Targeted Sequencing ◽  
Sequencing Platform ◽  
Key Points ◽  
Platelet Disorders

Key Points Developed a targeted sequencing platform covering 63 genes linked to heritable bleeding, thrombotic, and platelet disorders. The ThromboGenomics platform provides a sensitive genetic test to obtain molecular diagnoses in patients with a suspected etiology.

scholarly journals jackalope: a swift, versatile phylogenomic and high-throughput sequencing simulator

2019 ◽  
Author(s):  
Lucas A. Nell
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Population Genomics ◽  
R Package ◽  
Gene Trees ◽  
Sequencing Platform ◽  
Genomic Variants ◽  
Pacific Biosciences ◽  
Wide Range ◽  
Reference Genomes

AbstractHigh-throughput sequencing (HTS) is central to the study of population genomics and has an increasingly important role in constructing phylogenies. Choices in research design for sequencing projects can include a wide range of factors, such as sequencing platform, depth of coverage, and bioinformatic tools. Simulating HTS data better informs these decisions. However, current standalone HTS simulators cannot generate genomic variants under even somewhat complex evolutionary scenarios, which greatly reduces their usefulness for fields such as population genomics and phylogenomics. Here I present the R package jackalope that simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina and Pacific Biosciences (PacBio) platforms. Genomic variants can be simulated using phylogenies, gene trees, coalescent-simulation output, population-genomic summary statistics, and Variant Call Format (VCF) files. jackalope can simulate single, paired-end, or mate-pair Illumina reads, as well as reads from Pacific Biosciences. These simulations include sequencing errors, mapping qualities, multiplexing, and optical/PCR duplicates. It can read reference genomes from FASTA files and can simulate new ones, and all outputs can be written to standard file formats. jackalope is available for Mac, Windows, and Linux systems.

scholarly journals High-throughput sequencing of murine immunoglobulin heavy chain transcripts using single side unique molecular identifiers on an Ion Torrent PGM

2017 ◽  
Author(s):  
Jean-Philippe Bürckert ◽  
William J. Faison ◽  
Axel R. S. X. Dubois ◽  
Regina Sinner ◽  
Oliver Hunewald ◽  
...  
Keyword(s):  
High Throughput ◽  
Heavy Chain ◽  
High Throughput Sequencing ◽  
Gene Segment ◽  
Personal Genome ◽  
Sequencing Platform ◽  
Ion Torrent Pgm ◽  
Indel Detection ◽  
Processing Strategies ◽  
Nucleotide Insertions

AbstractWith the advent of high-throughput sequencing (HTS), profiling immunoglobulin (IG) repertoires has become an essential part of immunological research. Advances in sequencing technology enable the IonTorrent Personal Genome Machine (PGM) to cover the full-length of IG mRNA transcripts. Nucleotide insertions and deletions (indels) are the dominant errors of the PGM sequencing platform and can critically influence IG repertoire assessments. Here, we present a PGM-tailored IG repertoire sequencing approach combining error correction through unique molecular identifier (UID) barcoding and indel detection through ImMunoGeneTics (IMGT), the most commonly used sequence alignment database for IG sequences. Using artificially falsified sequences for benchmarking, we found that IMGT efficiently detects 98% of the introduced indels through gene-segment frameshifts. Undetected indels are either located at the ends of the sequences or produce masked frameshifts with an insertion and deletion in close proximity. IMGT’s indel correction algorithm resolves up to 87% of the tested insertions, but no deletions. The complementary determining regions 3 (CDR3s) are returned 100% correct for up to 3 insertions or 3 deletions through conservative culling. We further show, that our PGM-tailored unique molecular identifiers results in highly accurate HTS datasets if combined with the presented data processing. In this regard, considering sequences with at least two copies from datasets with UID families of minimum 3 reads result in correct sequences with over 99% confidence. The protocol and sample processing strategies described in this study will help to establish benchtop-scale sequencing of IG heavy chain transcripts in the field of IG repertoire research.

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