Site-specific control of silica mineralization on DNA using a designed peptide

2016 ◽  
Vol 52 (21) ◽  
pp. 4010-4013 ◽  
Author(s):  
Makoto Ozaki ◽  
Kazuma Nagai ◽  
Hiroto Nishiyama ◽  
Takaaki Tsuruoka ◽  
Satoshi Fujii ◽  
...  

We developed a site-specific method for precipitating inorganic compounds using organic compounds, DNA, and designed peptides with peptide nucleic acids (PNAs).

2021 ◽  
pp. 321-342
Author(s):  
B. G. Ibbotson ◽  
D. M. Gorber ◽  
D. W. Reades ◽  
D. Smyth ◽  
I. Munro ◽  
...  

Geosciences ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 365
Author(s):  
Nikolai Pedentchouk ◽  
Barry Bennett ◽  
Steve Larter

This study investigates the magnitude and direction of stable C and H isotope shifts of n-C15–30 alkanes from biodegraded oils sourced from Type II (Oil suite S) and Type II/III (Oil suite H) kerogens. Compound-specific isotope data show a 2.0‰ 13C-enrichment and no D-enrichment of n-alkanes in the most biodegraded oil from sample suite S. Similarly, there is a 1.5–2.5‰ 13C-enrichment and no D-enrichment in Oil suite H. Overall, there is a <2.5‰ δ13C and <20‰ δD variability among individual n-alkanes in the whole sequence of biodegradation. N-alkanes from the least biodegraded Oil H samples are 2–4‰ 13C-enriched in comparison with the least biodegraded Oil S. However, there are no differences in the δD values of n-alkanes in these samples. Our indirect isotopic evidence suggests (1) a site-specific biodegradation process, most likely at position C-2 and/or C-3 or another site-specific process, and (2) a significant D/H exchange between organic compounds in the source rock and isotopically similar marine formation waters. We conclude that, unlike δD methodology, investigation of δ13C composition of n-alkanes has strong potential as a supplementary tool for oil–oil and oil–source-rock correlation even in biodegraded oils when n-alkanes are present.


2002 ◽  
Vol 124 (35) ◽  
pp. 10262-10263 ◽  
Author(s):  
Akimitsu Okamoto ◽  
Kazuhito Tanabe ◽  
Isao Saito

1987 ◽  
Vol 1987 (1) ◽  
pp. 329-333 ◽  
Author(s):  
June Lindstedt-Siva

ABSTRACT Dispersant use is most effective in the early stages of an oil spill, yet because there is thought to be so much case-by-case variation, decisions about whether and where to use dispersants have been made only after a spill occurs. These decisions require, at a minimum, hours, and may require days. Two major efforts to shorten this decisionmaking process have recently been completed. A multidisciplinary, multiagency task force under the auspices of the American Society for Testing and Materials developed ecologically based guidelines for dispersant use in marine environments. The guidelines for 13 different marine and coastal habitat types consider dispersant use both to protect and to clean the habitat. They also identify those habitats that should be most protected in the event of a spill. These guidelines should be useful references for regional response teams and other spill response planners as they develop site-specific dispersant use plans. The second project was developed by an American Petroleum Institute task force and contractor with input from federal and state government agencies. It is a site-specific method for planning whether to use dispersants in marine environments. It divides an offshore region into “dispersant use zones” based on ecological considerations. The method was applied to selected areas offshore southern California as a test.


2021 ◽  
Author(s):  
Joshua Klein ◽  
Luis Carvalho ◽  
Joseph Zaia

AbstractAccurate glycopeptide identification in mass spectrometry-based glycoproteomics is a challenging problem at scale. Recent innovation has been made in increasing the scope and accuracy of glycopeptide identifications, with more precise uncertainty estimates for each part of the structure. We present a layered approach to glycopeptide fragmentation modeling that improves N-glycopeptide identification in samples without compromising identification quality, and a site-specific method to increase the depth of the glycoproteome confidently identifiable even further. We demonstrate our techniques on a pair of previously published datasets, showing the performance gains at each stage of optimization, as well as its flexibility in glycome definition and search space complexity. These techniques are provided in the open-source glycomics and glycoproteomics platform GlycReSoft available at https://github.com/mobiusklein/glycresoft.


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