scholarly journals Fourth Generation of Next‐Generation Sequencing Technologies: Promise and Consequences

2016 ◽  
Vol 37 (12) ◽  
pp. 1363-1367 ◽  
Author(s):  
Rongqin Ke ◽  
Marco Mignardi ◽  
Thomas Hauling ◽  
Mats Nilsson
2014 ◽  
Vol 42 (S1) ◽  
pp. 5-8 ◽  
Author(s):  
David Kaufman ◽  
Margaret Curnutte ◽  
Amy L. McGuire

In 1996, President Clinton offered a promissory vision for human genetics when he said: “I think it won't be too many years before parents will be able to go home from the hospital with their newborn babies with a genetic map in their hands that will tell them, here's what your child's future will likely be like.”The rapid evolution of genetic sequencing technologies has advanced that vision. In October 2006, the cost of sequencing an entire human genome was $10.4 million; by 2014 the cost had decreased a thousand fold. The term next generation sequencing (NGS) describes a variety of laboratory methods that allow efficient determination of the precise order of nucleotides in a DNA sequence. The papers in this issue of the Journal of Law, Medicine & Ethics focus on “clinical NGS,” which refers to rapid DNA sequencing using second-, third- and fourth-generation sequencing technologies to perform genome-wide sequencing of multiple genes or alleles for clinical prognostic, diagnostic, and therapeutic purposes.


2008 ◽  
Vol 18 (10) ◽  
pp. 1638-1642 ◽  
Author(s):  
D. R. Smith ◽  
A. R. Quinlan ◽  
H. E. Peckham ◽  
K. Makowsky ◽  
W. Tao ◽  
...  

2011 ◽  
Vol 16 (11-12) ◽  
pp. 512-519 ◽  
Author(s):  
Peter M. Woollard ◽  
Nalini A.L. Mehta ◽  
Jessica J. Vamathevan ◽  
Stephanie Van Horn ◽  
Bhushan K. Bonde ◽  
...  

Genes ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 429 ◽  
Author(s):  
Daniela Barros-Silva ◽  
C. Marques ◽  
Rui Henrique ◽  
Carmen Jerónimo

DNA methylation is an epigenetic modification that plays a pivotal role in regulating gene expression and, consequently, influences a wide variety of biological processes and diseases. The advances in next-generation sequencing technologies allow for genome-wide profiling of methyl marks both at a single-nucleotide and at a single-cell resolution. These profiling approaches vary in many aspects, such as DNA input, resolution, coverage, and bioinformatics analysis. Thus, the selection of the most feasible method according with the project’s purpose requires in-depth knowledge of those techniques. Currently, high-throughput sequencing techniques are intensively used in epigenomics profiling, which ultimately aims to find novel biomarkers for detection, diagnosis prognosis, and prediction of response to therapy, as well as to discover new targets for personalized treatments. Here, we present, in brief, a portrayal of next-generation sequencing methodologies’ evolution for profiling DNA methylation, highlighting its potential for translational medicine and presenting significant findings in several diseases.


2021 ◽  
Author(s):  
Ahmed S Fahad ◽  
Cheng Yu Chung ◽  
Sheila N. Lopez Acevedo ◽  
Nicoleen Boyle ◽  
Bharat Madan ◽  
...  

Functional analyses of the T cell receptor (TCR) landscape can reveal critical information about protection from disease and molecular responses to vaccines. However, it has proven difficult to combine advanced next-generation sequencing technologies with methods to decode the peptide-major histocompatibility complex (pMHC) specificity of individual TCRs. Here we developed a new high-throughput approach to enable repertoire-scale functional evaluations of natively paired TCRs. In particular, we leveraged the immortalized nature of physically linked TCRα:β amplicon libraries to analyze binding against multiple recombinant pMHCs on a repertoire scale. To exemplify the utility of this approach, we also performed affinity-based functional mapping in conjunction with quantitative next-generation sequencing to track antigen- specific TCRs. These data successfully validated a new immortalization and screening platform to facilitate detailed molecular analyses of human TCRs against diverse antigen targets associated with health, vaccination, or disease.


2018 ◽  
Vol 15 (2) ◽  
pp. 367-372
Author(s):  
Lê Ngọc Giang ◽  
Lưu Hàn Ly ◽  
Nguyễn Mai Phương ◽  
Lê Tùng Lâm ◽  
Đỗ Thị Huyền ◽  
...  

Microorganisms, particularly bacteria, in the ruminant's rumen are valuable genetic resources that many scientists interested in. In recent years, the application of next-generation sequencing technologies allows direct decoding an extracted DNA metagenome in each ecological community without culture, increasing the efficiency of exploiting interested genes. Notably, the quantity and quality of extracted DNA play an important role in getting a reliable metagenome database. In this study, DNA metagenome from goat rumen fluid was extracted by five different methods RBB (repeated bead beating plus column), RBBC (repeated bead beating), PSP1, PSP2 (PSP®Spin Stool DNA Kit, protocol 1, 2, Germany) và QIA (QIAamp® DNA Stool Mini Kit, Germany). The results showed that DNA metagenome obtained by all methods had A260/280 greater than 1.8. DNA extracted by the RBB method had high DNA concentration but low A260/230 values (less than 1.4) and still contained Taq polymerase inhibitor. After purifying by QIA column, A260/230 values of RBB-extracted DNA significantly increased up to 2.0 and Taq polymerase inhibitor in samples were removed. However, the concentrations decreased by 57% that nearly equivalent to concentration of DNA metagenome obtained by QIA. The method using PSP®Spin Stool DNA kit produced the highest DNA concentrations (from 149.7 to 195.5 ng/µl) with A260/280 ratios of 1.9 and A260/230 ratios of 1.8 to 1.9. Morever, this method was able to remove polymerase inhibitor and be performed on short time. Therefore, the PSP®Spin Stool DNA kit is a suitable method for DNA metagenome extraction of bacteria from goat rumen. DNA obtained by this method fulfilled all criteria about quality and concentration for sequencing by next-generation sequencing Illumina.


2017 ◽  
Vol 1 (Special Issue-Supplement) ◽  
pp. 237-237
Author(s):  
Reddaiah Bodanapu ◽  
Krishna Lalam ◽  
Durga Khandekar ◽  
Navitha Kokkonda ◽  
Sivarama Prasad Lekkala ◽  
...  

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