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The sample was spread onto 8 SuperFrost® Plus slides (VWR) by pipetting 150 uL of the mixture onto a slide resting in a manual spreading device (CyteSpreader®, RareCyte) that was designed to evenly distribute the sample in a monolayer across a defined region of the slide without making contact with the slide and thus minimizing sample loss (see Figure 2).
We then developed a workflow for single muscle fiber proteome analysis on the basis of a recent method, in which all preparation steps subsequent to mechanical disruption are performed in a single vessel, thereby minimizing sample loss (Fig 1A and Supplementary Methods section) [ 19].
The use of a single-step cell lysis approach was critical for further minimizing sample loss.
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To minimize sample loss during purification, we optimized the experimental procedure and avoided unnecessary purification steps.
Figure 1 displays the recommended pipeline structure, designed to optimize the QC and minimize sample loss.
To minimize sample loss, anthropometric measurements were taken on two different occasions in each school at both time-points.
Fourth, modifications to the sample inlet and pressure source had to be made to facilitate sample loading and minimize sample loss in the inlet.
One solution is to directly couple sample processing with nanoflow LC-MS in order to minimize sample loss and increase detection sensitivity.
Feasibility experiments were undertaken using model peptides in order to optimize the carbamylation reaction (i.e., minimize the presence of partially reacted species) and cleanup procedure (i.e., minimize sample loss).
Increased detectability of targets should be addressed in the future by targeting alternative peptides, further optimizing procedures to minimize sample loss and utilizing alternative investigative devices, including both more sensitive mass spectrometers and digital immunoassays.
The ideal method should be highly efficient for removing unused BC primers and dimers, yet be able to recover as many elongated products as possible to minimize sample loss.
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CEO of Professional Science Editing for Scientists @ prosciediting.com