A microengraving method for rapid selection of single cells producing antigen-specific antibodies

2006 ◽  
Vol 24 (6) ◽  
pp. 703-707 ◽  
Author(s):  
J Christopher Love ◽  
Jehnna L Ronan ◽  
Gijsbert M Grotenbreg ◽  
Annemarthe G van der Veen ◽  
Hidde L Ploegh
2010 ◽  
Vol 353 (1-2) ◽  
pp. 24-30 ◽  
Author(s):  
Helena Persson ◽  
Jonas Persson ◽  
Lena Danielsson ◽  
Mats Ohlin

Author(s):  
Santoso Santoso ◽  
Sri Cahyaningrum

Agam District finished the repetition of Filariasis treatment for 2 years, so Agam must be conducting the Re-TAS. Re-TAS was conducted on elementary school students grade 1 and 2 in the district of Agam. Survey design using the school cluster. The number of schools selected were 40 schools. Selection of the sample schools were calculated using sample survey builder (SSB). All students grades 1 and 2 in selected schools were examined using Brugia Rapid test to assess the presence of specific antibodies against Brugia malayi and B. timori worms. The  number of students who registered as many as 1,999 children, while being examined by RDT as many as 1,717. A total of 282 students were absent during the examination or refused to be examined.Test results showed that 3 positive, 1694 negative, 20 invalid and 3 samples were excluded. The number of samples taken into account to assess the transmission of filariasis as many as 1,697, which is only positive and negative samples. The survey found that the minimum sample was adequate and the number of positive children under the cut off point, so Agam passed TAS 1.


2019 ◽  
Vol 10 (5) ◽  
pp. 1506-1513 ◽  
Author(s):  
Min Li ◽  
Robbyn K. Anand

We present integration of selective single-cell capture at an array of wireless electrodes (bipolar electrodes, BPEs) with transfer into chambers, reagent exchange, fluidic isolation and rapid electrical lysis in a single platform, thus minimizing sample loss and manual intervention steps.


2009 ◽  
Vol 81 (9) ◽  
pp. 3246-3251 ◽  
Author(s):  
Limin Cao ◽  
Dexin Kong ◽  
Jianxin Sui ◽  
Tao Jiang ◽  
Zongyan Li ◽  
...  

Author(s):  
Jérémie Breda ◽  
Mihaela Zavolan ◽  
Erik van Nimwegen

AbstractIn spite of a large investment in the development of methodologies for analysis of single-cell RNA-seq data, there is still little agreement on how to best normalize such data, i.e. how to quantify gene expression states of single cells from such data. Starting from a few basic requirements such as that inferred expression states should correct for both intrinsic biological fluctuations and measurement noise, and that changes in expression state should be measured in terms of fold-changes rather than changes in absolute levels, we here derive a unique Bayesian procedure for normalizing single-cell RNA-seq data from first principles. Our implementation of this normalization procedure, called Sanity (SAmpling Noise corrected Inference of Transcription activitY), estimates log expression values and associated errors bars directly from raw UMI counts without any tunable parameters.Comparison of Sanity with other recent normalization methods on a selection of scRNA-seq datasets shows that Sanity outperforms other methods on basic downstream processing tasks such as clustering cells into subtypes and identification of differentially expressed genes. More importantly, we show that all other normalization methods present severely distorted pictures of the data. By failing to account for biological and technical Poisson noise, many methods systematically predict the lowest expressed genes to be most variable in expression, whereas in reality these genes provide least evidence of true biological variability. In addition, by confounding noise removal with lower-dimensional representation of the data, many methods introduce strong spurious correlations of expression levels with the total UMI count of each cell as well as spurious co-expression of genes.


2018 ◽  
Vol 74 (8) ◽  
pp. 517-519
Author(s):  
WIKTOR BOJAR ◽  
ANDRZEJ JUNKUSZEW ◽  
MONIKA OLECH ◽  
JACEK KUŹMAK ◽  
KLAUDIUSZ SZCZEPANIAK

The aim of the study was to determine the prevalence of SRLV infection in sheep breeds farmed in mid-Eastern Poland. Out of 6,470 mother ewes kept in 98 nucleus flocks of various sizes, 2,924 belonging to 15 breeds and lines were selected for serum sample collection. The selection of the animals analyzed was carried out using stratification which enabled the determination of infection prevalence with an error margin no greater than 8%. The assay of SRLV-specific antibodies in blood serum was performed using the ELISA test. The analyses revealed a large diversity of prevalence between the sheep breeds studied. The lowest prevalence was observed in Uhruska sheep, in which only 5.07% had a positive serological reaction, despite the fact that the number of animals of this breed included in the analysis was large (1675 mother ewes). The prevalence for this variety was over 5-7 times lower in comparison to Wielkopolska sheep (35%), Polish Pogorze sheep (22.73%), Podhale Zackel sheep (29.03%) and over 10 times lower than Świniarka sheep (57.04%). The results should be used for developing breeding strategies and establishing anti-SRLV programs..


Author(s):  
Robert B Brown ◽  
Julie Audet

Owing to the small quantities of analytes and small volumes involved in single-cell analysis techniques, manipulation strategies must be chosen carefully. The lysis of single cells for downstream chemical analysis in capillaries and lab-on-a-chip devices can be achieved by optical, acoustic, mechanical, electrical or chemical means, each having their respective strengths and weaknesses. Selection of the most appropriate lysis method will depend on the particulars of the downstream cell lysate processing. Ultrafast lysis techniques such as the use of highly focused laser pulses or pulses of high voltage are suitable for applications requiring high temporal resolution. Other factors, such as whether the cells are adherent or in suspension and whether the proteins to be collected are desired to be native or denatured, will determine the suitability of detergent-based lysis methods. Therefore, careful selection of the proper lysis technique is essential for gathering accurate data from single cells.


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