The human proteome has millions of protein variants due to alternative RNA splicing and post-translational modifications, and variants that are related to diseases are frequently present in minute concentrations. For DNA and RNA, low concentrations can be amplified using the polymerase chain reaction, but there is no such reaction for proteins. Therefore, the development of single molecule protein sequencing is a critical step in the search for protein biomarkers. Here we show that single amino acids can be identified by trapping the molecules between two electrodes that are coated with a layer of recognition molecules and measuring the electron tunneling current across the junction. A given molecule can bind in more than one way in the junction, and we therefore use a machine-learning algorithm to distinguish between the sets of electronic ‘fingerprints’ associated with each binding motif. With this recognition tunneling technique, we are able to identify D, L enantiomers, a methylated amino acid, isobaric isomers, and short peptides. The results suggest that direct electronic sequencing of single proteins could be possible by sequentially measuring the products of processive exopeptidase digestion, or by using a molecular motor to pull proteins through a tunnel junction integrated with a nanopore.

As a posttranslational protein modification, cysteine sulfenic acid (Cys-SOH) is well established as an oxidative stress-induced mediator of enzyme function and redox signaling. Data presented herein show that protein Cys-SOH forms spontaneously in air-exposed aqueous solutions of unfolded (disulfide-reduced) protein in the absence of added oxidizing reagents, mediating the oxidative disulfide bond formation process key to in vitro, non-enzymatic protein folding. Molecular oxygen (O2) and trace metals (e.g., copper (II)) are shown to be important reagents in the oxidative refolding process. Cys-SOH is also revealed to play a role in spontaneous disulfide-based dimerization of peptide molecules containing free cysteine residues. In total, the data presented expose a chemically ubiquitous role for Cys-SOH in solutions of free cysteine-containing protein exposed to air.

BACKGROUND:Parathyroid hormone (PTH) assays able to distinguish between full-length PTH (PTH1-84) and N-terminally truncated PTH (PTH7-84) are of increasing significance in the accurate diagnosis of endocrine and osteological diseases. We describe the discovery of new N-terminal and C-terminal PTH variants and the development of selected reaction monitoring (SRM)-based immunoassays specifically designed for the detection of full-length PTH [amino acid (aa)1-84] and 2 N-terminal variants, aa7-84 and aa34 -84.

Telomerase is a specialized reverse transcriptase containing an intrinsic telomerase RNA (TR) which provides the template for telomeric DNA synthesis. Distinct from conventional reverse transcriptases, telomerase has evolved a unique TR-binding domain (TRBD) in the catalytic telomerase reverse transcriptase (TERT) protein, integral for ribonucleoprotein assembly. Two structural elements in the vertebrate TR, the pseudoknot and CR4/5, bind TERT independently and are essential for telomerase enzymatic activity. However, the details of the TR-TERT interaction have remained elusive. In this study, we employed a photoaffinity cross-linking approach to map the CR4/5-TRBD RNA-protein binding interface by identifying RNA and protein residues in close proximity. Photoreactive 5-iodouridines were incorporated into the medaka CR4/5 RNA fragment and UV cross-linked to the medaka TRBD protein fragment. The cross-linking RNA residues were identified by alkaline partial hydrolysis and cross-linked protein residues were identified by mass spectrometry. Three CR4/5 RNA residues (U182, U187, and U205) were found cross-linking to TRBD amino acids Tyr503, Phe355, and Trp477, respectively. This CR4/5 binding pocket is distinct and separate from the previously proposed T pocket in the Tetrahymena TRBD. Based on homologous structural models, our cross-linking data position the essential loop L6.1 adjacent to the TERT C-terminal extension domain. We thus propose that stem-loop 6.1 facilitates proper TERT folding by interacting with both TRBD and C-terminal extension. Revealing the telomerase CR4/5-TRBD binding interface with single-residue resolution provides important insights into telomerase ribonucleoprotein architecture and the function of the essential CR4/5 domain.

Carbohydrates are one of the four main building blocks of life, and are categorized as monosaccharides (sugars), oligosaccharides and polysaccharides. Each sugar can exist in two alternative anomers (in which a hydroxy group at C-1 takes different orientations) and each pair of sugars can form different epimers (isomers around the stereocentres connecting the sugars). This leads to a vast combinatorial complexity, intractable to mass spectrometry and requiring large amounts of sample for NMR characterization. Combining measurements of collision cross section with mass spectrometry (IM–MS) helps, but many isomers are still difficult to separate. Here, we show that recognition tunnelling (RT) can classify many anomers and epimers via the current fluctuations they produce when captured in a tunnel junction functionalized with recognition molecules. Most importantly, RT is a nanoscale technique utilizing sub-picomole quantities of analyte. If integrated into a nanopore, RT would provide a unique approach to sequencing linear polysaccharides.

Glycans represent a promising but only marginally accessed source of cancer markers. We previously reported the development of a molecularly bottom-up approach to plasma and serum (P/S) glycomics based on glycan linkage analysis that captures features such as α2-6 sialylation, β1-6 branching, and core fucosylation as single analytical signals. Based on the behavior of P/S glycans established to date, we hypothesized that the alteration of P/S glycans observed in cancer would be independent of the tissue in which the tumor originated yet exhibit stage dependence that varied little between cancers classified on the basis of tumor origin. Herein, the diagnostic utility of this bottom-up approach as applied to lung cancer patients (n = 127 stage I; n = 20 stage II; n = 81 stage III; and n = 90 stage IV) as well as prostate (n = 40 stage II), serous ovarian (n = 59 stage III), and pancreatic cancer patients (n = 15 rapid autopsy) compared to certifiably healthy individuals (n = 30), nominally healthy individuals (n = 166), and risk-matched controls (n = 300) is reported. Diagnostic performance in lung cancer was stage-dependent, with markers for terminal (total) fucosylation, α2-6 sialylation, β1-4 branching, β1-6 branching, and outer-arm fucosylation most able to differentiate cases from controls. These markers behaved in a similar stage-dependent manner in other types of cancer as well. Notable differences between certifiably healthy individuals and case-matched controls were observed. These markers were not significantly elevated in liver fibrosis. Using a Cox proportional hazards regression model, the marker for α2-6 sialylation was found to predict both progression and survival in lung cancer patients after adjusting for age, gender, smoking status, and stage. The potential mechanistic role of aberrant P/S glycans in cancer progression is discussed.

Dysregulated glycotransferase enzymes in cancer cells produce aberrant glycans—some of which can help facilitate metastases. Within a cell, individual glycotransferases promiscuously help construct dozens of unique glycan structures, making it difficult to comprehensively track their activity in biospecimens—especially where they are absent or inactive. Here we describe an approach to deconstruct glycans in whole biospecimens then analytically pool together resulting monosaccharide-and-linkage-specific degradation products (“glycan nodes”) that directly represent the activities of specific glycotransferases. To implement this concept a reproducible, relative quantitation-based glycan methylation analysis methodology was developed that simultaneously captures information from N−, O−, and lipid linked glycans and is compatible with whole biofluids and homogenized tissues; in total over 30 different glycan nodes are detectable per GC-MS run. Numerous non-liver organ cancers are known to induce production of abnormally glycosylated serum proteins. Thus following analytical validation in blood plasma the technique was applied to a cohort of 59 lung cancer patient plasma samples and age/gender/smoking-status-matched non-neoplastic controls from the Lung Cancer in Central and Eastern Europe Study to gauge the clinical utility of the approach towards detection of lung cancer. Ten smoking-independent glycan node ratios were found that detect lung cancer with individual ROC c-statistics ranging from 0.76–0.88. Two glycan nodes provided novel evidence for altered ST6Gal-I and GnT-IV glycotransferase activities in lung cancer patients. In summary, a conceptually novel approach to the analysis of glycans in unfractionated human biospecimens has been developed that, upon clinical validation for specific applications, may provide diagnostic and/or predictive information in glycan-altering diseases.

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