Faculty Opinions recommendation of Selection of DNA aptamers using atomic force microscopy.

Author(s):  
Scott Silverman
2009 ◽  
Vol 38 (4) ◽  
pp. e21-e21 ◽  
Author(s):  
Yusuke Miyachi ◽  
Nobuaki Shimizu ◽  
Chiaki Ogino ◽  
Akihiko Kondo

2020 ◽  
Vol 295 (18) ◽  
pp. 6043-6052 ◽  
Author(s):  
Yaqing Wang ◽  
Zhiqiang Sun ◽  
Piero R. Bianco ◽  
Yuri L. Lyubchenko

In bacteria, the restart of stalled DNA replication forks requires the DNA helicase PriA. PriA can recognize and remodel abandoned DNA replication forks, unwind DNA in the 3′-to-5′ direction, and facilitate the loading of the helicase DnaB onto the DNA to restart replication. Single-stranded DNA–binding protein (SSB) is typically present at the abandoned forks, but it is unclear how SSB and PriA interact, although it has been shown that the two proteins interact both physically and functionally. Here, we used atomic force microscopy to visualize the interaction of PriA with DNA substrates with or without SSB. These experiments were done in the absence of ATP to delineate the substrate recognition pattern of PriA before its ATP-catalyzed DNA-unwinding reaction. These analyses revealed that in the absence of SSB, PriA binds preferentially to a fork substrate with a gap in the leading strand. Such a preference has not been observed for 5′- and 3′-tailed duplexes, suggesting that it is the fork structure that plays an essential role in PriA's selection of DNA substrates. Furthermore, we found that in the absence of SSB, PriA binds exclusively to the fork regions of the DNA substrates. In contrast, fork-bound SSB loads PriA onto the duplex DNA arms of forks, suggesting a remodeling of PriA by SSB. We also demonstrate that the remodeling of PriA requires a functional C-terminal domain of SSB. In summary, our atomic force microscopy analyses reveal key details in the interactions between PriA and stalled DNA replication forks with or without SSB.


2014 ◽  
Vol 116 (10) ◽  
pp. 104901 ◽  
Author(s):  
Alfredo J. Diaz ◽  
Babak Eslami ◽  
Enrique A. López-Guerra ◽  
Santiago D. Solares

Author(s):  
V. V. Rabtsevich ◽  
V. Yu. Tsviatkou ◽  
T. А. Kuznetsova ◽  
S. A. Сhizhik

An algorithm for segmentation of images of atomic force microscopy is developed by using wave-growing regions around local maxima as a result of adjoining neighboring pixels to them, selected in descending order of values. The essence of the algorithm is to use the brightness threshold, gradually changing from maximum to minimum, to select growth points or to join existing areas. The features of the developed segmentation algorithm are iteratively expandable boundaries, the choice of initial growth points and points attached to regions with a focus on threshold values with a gradual decrease from maximum to minimum. These features made it possible to eliminate the segmentation errors of the AFM images, characteristic of the algorithms of the marker watershed, the cultivation of areas and the watershed using the classical Vincent–Sollie algorithm, which are commonly used. The developed algorithm was compared with standard algorithms such as: classic watershed algorithm, marker watershed, growing areas. The comparison was carried out on test and original AFM images. The algorithms were implemented in Matlab and C ++. A set of binary masks was used to quantify segmentation errors. The results showed that the developed algorithm provides the selection of the boundaries of the regions without errors and a higher segmentation rate in comparison with the algorithms of growing the regions and the Vincent–Sollie watershed. The result can be used to process AFM images of the surfaces of inorganic materials in the submicro and nano range.


2000 ◽  
Vol 10 (1-2) ◽  
pp. 15
Author(s):  
Eugene Sprague ◽  
Julio C. Palmaz ◽  
Cristina Simon ◽  
Aaron Watson

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