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In this report, we briefly review the application of Beynon and Gaskell's QconCAT methodology to the quantification of a variety of proteomes.
Combining the deep muscle proteome with the fiber proteome led to the quantification of a total of 7,174 proteins.
Our quantitative SGTP-affinity profiling of whole cell lysate from Jurkat-T cells led to the quantification of a total of 1925 proteins, which include more than 5400 light or heavy desthiobiotin-modified lysine residues.
MRI is a non-ionising technique that provides unsurpassed anatomical images of soft tissues, which facilitates the localisation of the signal source, but still features a rather low sensitivity and is hardly amenable to the quantification of a signal in absolute terms.
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Two calibration curves (0.1 150 ng/mL and 150 1500 ng/mL; r > 0.99) were established to allow the quantification of a wide range of FLZ concentrations.
Consequently, we proceeded to the quantification of UCP1, a specific marker for fat browning, in different fat depots.
The sensor can be applied to the quantification of TBHP with a linear range covering from 0.0260 to 4.81 mM, a high sensitivity of 13.64 A M−1, and a low detection limit of 5 μM.
In addition, the sensor S1 can be applied to the quantification of Al3+ with a linear range covering from 1.0 to 10.0 μM and a detection limit of 1.78×10−7 M.
We developed a tool to integrate those normal physiological variances in the quantification of a single SPECT-examination.
However, in contrast to other FP-based biosensors which allow the quantification of a certain metabolite, in vitro calibration of FluBO is not an easy task.
The sensor can be applied to the quantification of Zn2+ with a linear range covering from 3.2 × 10−7 to 1.8 × 10−4 M and a detection limit of 5.5 × 10−8 M.
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