Digital chromatography: separating amino acids into spatially discrete containers

18 April 2022, Version 2
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Separation of amino acids (AAs) in a mixture has been conventionally done with chromatography or electrophoresis; separation usually occurs over some continuous space. The present communication proposes a digital method with a 20-stage pipeline for separating (and counting) single AA molecules in a mixture, with each of the 20 proteinogenic AAs ending up in its own discrete and spatially distinct container. Presently the method is designed for samples with a few molecules on up to the atto-mole level and can be used with samples collected from single cells. It is based on the superspecificity property of transfer RNAs (tRNAs): an AA can bind only with a cognate tRNA and not with any other; the binding error rate is about 1 in 350. Four necessary conditions for accurate separation are noted; it is shown informally that they can be satisfied. The method can also be used for peptide sequencing by feeding terminal residues cleaved from a peptide into the first stage of the pipeline.

Keywords

amino acid separation
digital vs analog
tRNA
superspecificity
nanopore counter
pipeline
optical tag

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.