Next-Generation Sequencing: An Emerging Tool for Drug Designing

2019 ◽  
Vol 25 (31) ◽  
pp. 3350-3357 ◽  
Author(s):  
Pooja Tripathi ◽  
Jyotsna Singh ◽  
Jonathan A. Lal ◽  
Vijay Tripathi
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput ◽  
Large Scale ◽  
Massively Parallel Sequencing ◽  
Genomic Research ◽  
Biological Research ◽  
Next Generation ◽  
Human Welfare ◽  
Drug Designing ◽  
Generation Sequencing

Background: With the outbreak of high throughput next-generation sequencing (NGS), the biological research of drug discovery has been directed towards the oncology and infectious disease therapeutic areas, with extensive use in biopharmaceutical development and vaccine production. Method: In this review, an effort was made to address the basic background of NGS technologies, potential applications of NGS in drug designing. Our purpose is also to provide a brief introduction of various Nextgeneration sequencing techniques. Discussions: The high-throughput methods execute Large-scale Unbiased Sequencing (LUS) which comprises of Massively Parallel Sequencing (MPS) or NGS technologies. The Next geneinvolved necessarily executes Largescale Unbiased Sequencing (LUS) which comprises of MPS or NGS technologies. These are related terms that describe a DNA sequencing technology which has revolutionized genomic research. Using NGS, an entire human genome can be sequenced within a single day. Conclusion: Analysis of NGS data unravels important clues in the quest for the treatment of various lifethreatening diseases and other related scientific problems related to human welfare.

scholarly journals Lavage of the Uterine Cavity for Molecular Detection of Müllerian Duct Carcinomas: A Proof-of-Concept Study

2015 ◽  
Vol 33 (36) ◽  
pp. 4293-4300 ◽  
Author(s):  
Elisabeth Maritschnegg ◽  
Yuxuan Wang ◽  
Nina Pecha ◽  
Reinhard Horvat ◽  
Els Van Nieuwenhuysen ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Tumor Tissue ◽  
Massively Parallel Sequencing ◽  
Uterine Cavity ◽  
Mullerian Duct ◽  
Next Generation ◽  
Benign Lesions ◽  
Cavity Detection ◽  
Müllerian Duct ◽  
Generation Sequencing

Purpose Type II ovarian cancer (OC) and endometrial cancer (EC) are generally diagnosed at an advanced stage, translating into a poor survival rate. There is increasing evidence that Müllerian duct cancers may exfoliate cells. We have established an approach for lavage of the uterine cavity to detect shed cancer cells. Patients and Methods Lavage of the uterine cavity was used to obtain samples from 65 patients, including 30 with OC, five with EC, three with other malignancies, and 27 with benign lesions involving gynecologic organs. These samples, as well as corresponding tumor tissue, were examined for the presence of somatic mutations using massively parallel sequencing (next-generation sequencing) and, in a subset, singleplex analysis. Results The lavage technique could be applied successfully, and sufficient amounts of DNA were obtained in all patients. Mutations, mainly in TP53, were identified in 18 (60%) of 30 lavage samples of patients with OC using next-generation sequencing. Singleplex analysis of mutations previously determined in corresponding tumor tissue led to further identification of six patients. Taken together, in 24 (80%) of 30 patients with OC, specific mutations could be identified. This also included one patient with occult OC. All five analyzed lavage specimens from patients with EC harbored mutations. Eight (29.6%) of 27 patients with benign lesions tested positive for mutations, six (75%) as a result of mutations in the KRAS gene. Conclusion This study proved that tumor cells from ovarian neoplasms are shed and can be collected via lavage of the uterine cavity. Detection of OC and EC and even clinically occult OC was achieved, making it a potential tool of significant promise for early diagnosis.

scholarly journals NGS-QCbox and Raspberry for Parallel, Automated and Rapid Quality Control Analysis of Large-Scale Next Generation Sequencing (Illumina) Data

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0139868 ◽  
Author(s):  
Mohan A. V. S. K. Katta ◽  
Aamir W. Khan ◽  
Dadakhalandar Doddamani ◽  
Mahendar Thudi ◽  
Rajeev K. Varshney
Keyword(s):  
Quality Control ◽  
Next Generation Sequencing ◽  
Large Scale ◽  
Control Analysis ◽  
Next Generation ◽  
Quality Control Analysis ◽  
Illumina Data ◽  
Generation Sequencing

scholarly journals Advances in genetics and molecular breeding of three legume crops of semi-arid tropics using next-generation sequencing and high-throughput genotyping technologies

2012 ◽  
Vol 37 (5) ◽  
pp. 811-820 ◽  
Author(s):  
Rajeev K Varshney ◽  
Himabindu Kudapa ◽  
Manish Roorkiwal ◽  
Mahendar Thudi ◽  
Manish K Pandey ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput ◽  
Molecular Breeding ◽  
Next Generation ◽  
Legume Crops ◽  
Generation Sequencing ◽  
Semi Arid

scholarly journals Robust Sub-nanomolar Library Preparation for High Throughput Next Generation Sequencing

BMC Genomics ◽  
2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Wells W. Wu ◽  
Je-Nie Phue ◽  
Chun-Ting Lee ◽  
Changyi Lin ◽  
Lai Xu ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput ◽  
Library Preparation ◽  
Next Generation ◽  
Generation Sequencing

Next-Generation Sequencing for Drug Designing and Development: An Omics Approach for Cancer Treatment

2017 ◽  
Vol 13 (7) ◽  
pp. 709-723 ◽  
Author(s):  
Gautam Kumar ◽  
Kamal Kishore Chaudhary ◽  
Krishna Misra ◽  
Anushree Tripathi
Keyword(s):  
Next Generation Sequencing ◽  
Cancer Treatment ◽  
Next Generation ◽  
Drug Designing ◽  
Generation Sequencing
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