Super-assembled sandwich-like Au@MSN@Ag nanomatrices for high-throughput and efficient detection of small biomolecules

Nano Research ◽  
2021 ◽  
Author(s):  
Dantong Zhao ◽  
Chunxia Ma ◽  
Meng Gao ◽  
Yong Li ◽  
Bo Yang ◽  
...  
Author(s):  
Е.А. Алексеева ◽  
В.М. Козлова ◽  
О.В. Бабенко ◽  
Т.Л. Ушакова ◽  
Т.П. Казубская ◽  
...  

Введение. Ретинобластома - злокачественная опухоль детского возраста, причиной которой является биаллельная инактивация гена RB1. Ранняя молекулярно-генетическая диагностика ретинобластомы необходима как для адекватного выбора алгоритма лечения пациента с такой опухолью, так и для медико-генетического консультирования семьи. Цель: охарактеризовать частоту и спектр мутаций в гене RB1 у российских больных с ретинобластомой. Методы. Исследование проведено на материале ДНК лимфоцитов крови, полученном от 492 больных с ретинобластомой. Скрининг точковых мутаций, малых инсерций/делеций в гене RВ1 осуществляли методом полупроводникового высокопроизводительного параллельного секвенирования. Исключение протяженных делеций в гене RВ1 проводили методом MLPA. Результаты. Исследовано 492 неродственных пациента с ретинобластомой, среди которых 38,2% (188/492) с билатеральной формой заболевания и 61,8% (304/492) - с унилатеральной. В группе больных с билатеральной формой ретинобластомы герминальная мутация обнаружена у 96,8% (182/188) пациентов, в группе больных с унилатеральной формой - у 16,4% (50/304). Суммарно в гене RB1 в исследованной группе пациентов обнаружено 339 мутаций: 232 - герминальных и 107 - соматических. Выявлен практически полный спектр молекулярных изменений, включающий нонсенс-мутации - 37,5% (127/339), миссенс-мутации - 5,3% (18/339), мутации, приводящие к сдвигу рамки считывания - 18,9% (64/339), мутации сайтов сплайсинга - 13,9% (47/339) и протяженные делеции - 24,5% (83/339). Выводы. Применение глубокого высокопроизводительного параллельного секвенирования и метода MLPA позволяет эффективно выявлять молекулярно-генетические изменения в гене RB1. Типы мутаций, обнаруженные в исследованной группе, их частота и распределение совпадают с результатами исследователей из других стран. Background. Retinoblastoma is a childhood malignant tumor caused by biallelic inactivation of the RB1 gene. Early molecular genetic diagnosis of retinoblastoma is necessary both for an adequate choice of an algorithm for treating a patient, and for competent medical genetic counseling of the family Objective. To establish the frequency and spectrum of mutations in the RB1 gene in the group of patients with retinoblastoma. Methods. The study was carried out on the DNA of blood lymphocytes from 492 patients with retinoblastoma. Screening of point mutations, small insertions/deletions in the RB1 gene was performed by semiconductor high-throughput parallel sequencing. Exclusion of gross deletions in the RB1 gene was performed by MLPA. Results. 492 unrelated patients with retinoblastoma were studied, including 38.2% (188/492) with bilateral form and 61.8% (304/492) with unilateral form. In the group of patients with bilateral retinoblastoma, germline mutation was found in 96.8% (182/188) patients, and in the group of unilateral patients, in 16.4% (50/304). In total, the RB1 gene in the studied group of patients 339 mutations were found, 232 germline and 107 somatic. An almost complete spectrum of molecular changes was revealed, including nonsense mutations, 37.5% (127/339); missense mutations, 5.3% (18/339); frame shift mutations, 18.9% (64 / 339); splice site mutations, 13.9% (47/339); and large deletions, 24.5% (83/339). Conclusion. The use of deep high-throughput parallel sequencing and the MLPA method allows efficient detection of molecular genetic changes in the RB1 gene. The types of mutations found in the studied group, their frequency and distribution are the same as the results of researchers in other countries.


2013 ◽  
Vol 400-401 ◽  
pp. 2-12 ◽  
Author(s):  
Valérie Duverger ◽  
Christophe Sauvage ◽  
Michel Kobr ◽  
Markus O. Imhof

2014 ◽  
Vol 50 (97) ◽  
pp. 15397-15399 ◽  
Author(s):  
Ze Li ◽  
Yi-Wei Zhang ◽  
Yue-Long Xin ◽  
Yu Bai ◽  
Heng-Hui Zhou ◽  
...  

A lithium-rich composite metal oxide material used as a SALDI matrix for high throughput analysis of small molecules.


2018 ◽  
Vol 914 ◽  
pp. 19-28
Author(s):  
Xin Yu Zhang ◽  
Qiu Hong Huang ◽  
Mei Yang ◽  
Xiao Ling Liao ◽  
Ze Yu Shao ◽  
...  

High-throughput drug screening microfluidic chip has good biocompatibility and faveriable functional integration, which is the excellent platform for high-throughput screening. Importantly, FRET (Fluorescence Resonance Energy Transfer) technology is the most efficient detection means at present. In this paper, we introduce the development of drug screening microfluidic chip on cellular level and the application of FRET technology on cell detection. Further, we discusse the possibility of FRET applied in the field of microfluidic biochip.


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1768
Author(s):  
Daniel Zendler ◽  
Nagarjun Malagol ◽  
Anna Schwandner ◽  
Reinhard Töpfer ◽  
Ludger Hausmann ◽  
...  

Objective and standardized recording of disease severity in mapping crosses and breeding lines is a crucial step in characterizing resistance traits utilized in breeding programs and to conduct QTL or GWAS studies. Here we report a system for automated high-throughput scoring of disease severity on inoculated leaf discs. As proof of concept, we used leaf discs inoculated with Plasmopara viticola ((Berk. and Curt.) Berl. and de Toni) causing grapevine downy mildew (DM). This oomycete is one of the major grapevine pathogens and has the potential to reduce grape yield dramatically if environmental conditions are favorable. Breeding of DM resistant grapevine cultivars is an approach for a novel and more sustainable viticulture. This involves the evaluation of several thousand inoculated leaf discs from mapping crosses and breeding lines every year. Therefore, we trained a shallow convolutional neural-network (SCNN) for efficient detection of leaf disc segments showing P. viticola sporangiophores. We could illustrate a high and significant correlation with manually scored disease severity used as ground truth data for evaluation of the SCNN performance. Combined with an automated imaging system, this leaf disc-scoring pipeline has the potential to considerably reduce the amount of time during leaf disc phenotyping. The pipeline with all necessary documentation for adaptation to other pathogens is freely available.


2019 ◽  
Author(s):  
Alex Bush ◽  
Zacchaeus Compson ◽  
Wendy Monk ◽  
Teresita M. Porter ◽  
Royce Steeves ◽  
...  

AbstractAn ongoing challenge for ecological studies has been the collection of data with high precision and accuracy at a sufficient scale to detect effects relevant to management of critical global change processes. A major hurdle for many workflows has been the time-consuming and challenging process of sorting and identification of organisms, but the rapid development of DNA metabarcoding as a biodiversity observation tool provides a potential solution. As high-throughput sequencing becomes more rapid and cost-effective, a ‘big data’ revolution is anticipated, based on higher and more accurate taxonomic resolution, more efficient detection, and greater sample processing capacity. These advances have the potential to amplify the power of ecological studies to detect change and diagnose its cause, through a methodology termed ‘Biomonitoring 2.0’.Despite its promise, the unfamiliar terminology and pace of development in high-throughput sequencing technologies has contributed to a growing concern that an unproven technology is supplanting tried and tested approaches, lowering trust among potential users, and reducing uptake by ecologists and environmental management practitioners. While it is reasonable to exercise caution, we argue that any criticism of new methods must also acknowledge the shortcomings and lower capacity of current observation methods. Broader understanding of the statistical properties of metabarcoding data will help ecologists to design, test and review evidence for new hypotheses.We highlight the uncertainties and challenges underlying DNA metabarcoding and traditional methods for compositional analysis, focusing on issues of taxonomic resolution, sample similarity, taxon misidentification, sample contamination, and taxon abundance. Using the example of freshwater benthic ecosystems, one of the most widely-applied non-microbial applications of DNA metabarcoding to date, we explore the ability of this new technology to improve the quality and utility of ecological data, recognising that the issues raised have widespread applicability across all ecosystem types.


2021 ◽  
Author(s):  
Daniel Zendler ◽  
Nagarjun Malagol ◽  
Anna Schwandner ◽  
Reinhard Töpfer ◽  
Ludger Hausmann ◽  
...  

Objective and standardized recording of disease severity in mapping crosses and breeding lines is a crucial step in characterizing resistance traits utilized in breeding programs and to conduct QTL or GWAS studies. Here we report a system for automated high-throughput scoring of disease severity on inoculated leaf discs. As proof of concept, we used leaf discs inoculated with Plasmopara viticola causing grapevine downy mildew (DM). This oomycete is one of the major grapevine pathogens and has the potential to reduce grape yield dramatically if environmental conditions are favorable. Breeding of DM resistant grapevine cultivars is an approach for a novel and more sustainable viticulture. This involves the evaluation of several thousand inoculated leaf discs from mapping crosses and breeding lines every year. Therefore, we trained a shallow convolutional neural-network (SCNN) for efficient detection of leaf disc segments showing P. viticola sporangiophores. We could illustrate a high and significant correlation with manually scored disease severity used as ground truth data for evaluation of the SCNN performance. Combined with an automated imaging system, this leaf disc-scoring pipeline has the potential to reduce the amount of time during leaf disc phenotyping considerably. The pipeline with all necessary documentation for adaptation to other pathogens is freely available.


2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  

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