Estimating error rates for single molecule protein sequencing experiments.

The practical application of new single molecule protein sequencing (SMPS) technologies requires accurate estimates of their associated sequencing error rates. Here, we describe the development and application of two distinct parameter estimation methods for analyzing SMPS reads produced by fluorosequencing. A Hidden Markov Model (HMM) based approach, extends whatprot, where we previously used HMMs for SMPS peptide-read matching.

Robust and scalable single-molecule protein sequencing with fluorosequencing.

The need to accurately survey proteins and their modifications with ever higher sensitivities, particularly in clinical settings with limited samples, is spurring development of new single molecule proteomics technologies. Fluorosequencing is one such highly parallelized single molecule peptide sequencing platform, based on determining the sequence positions of select amino acid types within peptides to enable their identification and quantification from a reference database. Here, we describe substantial improvements to fluorosequencing, including identifying fluorophores compatible with the sequencing chemistry, mitigating dye-dye interactions through the use of extended polyproline linkers, and developing an end-to-end workflow for sample preparation and sequencing.

Estimating error rates for single molecule protein sequencing experiments.

The practical application of new single molecule protein sequencing (SMPS) technologies requires accurate estimates of their associated sequencing error rates. Here, we describe the development and application of two distinct parameter estimation methods for analyzing SMPS reads produced by fluorosequencing. A Hidden Markov Model (HMM) based approach, extends , where we previously used HMMs for SMPS peptide-read matching.

Photoredox-Catalyzed Decarboxylative -Terminal Differentiation for Bulk- and Single-Molecule Proteomics.

Methods for the selective labeling of biogenic functional groups on peptides are being developed and used in the workflow of both current and emerging proteomics technologies, such as single-molecule fluorosequencing. To achieve successful labeling with any one method requires that the peptide fragments contain the functional group for which labeling chemistry is designed. In practice, only two functional groups are present in every peptide fragment regardless of the protein cleavage site, namely, an -terminal amine and a C-terminal carboxylic acid.

Enhancing active patient participation in nursing handover: A mixed methods study.

Aims And Objectives: To explore: i) the frequency and nature of patient participation in nursing handover and ii) patients' and nurses' perceived strategies to enhance patient involvement in nursing handover.

Background: Patient participation in nursing handover is important for patient-centred care, shared decision-making, patient safety and a positive healthcare experience DESIGN: A multi-site prospective study using a mixed methods design.

Methods: Between September and December 2019, nursing handovers were observed on ten randomly selected wards, followed by semi-structured interviews with patients (n = 33), and nurses (n = 20) from the observed handovers.