Identification and Quantification of Proteoforms by Mass Spectrometry

A proteoform is a defined form of a protein derived from a given gene with a specific amino acid sequence and localized post-translational modifications. In top-down proteomic analyses, proteoforms are identified and quantified through mass spectrometric analysis of intact proteins. Recent technological developments have enabled comprehensive proteoform analyses in complex samples, and an increasing number of laboratories are adopting top-down proteomic workflows. In this review, we outline some recent advances and discuss current challenges and future directions for the field

Mapping the multiscale structure of biological systems

Biological systems are by nature multiscale, consisting of subsystems that factor into progressively smaller units in a deeply hierarchical structure. At any level of the hierarchy, an ever-increasing diversity of technologies can be applied to characterize the corresponding biological units and their relations, resulting in large networks of physical or functional proximities-e.g., proximities of amino acids within a protein, of proteins within a complex, or of cell types within a tissue. Here, we review general concepts and progress in using network proximity measures as a basis for creation of multiscale hierarchical maps of biological systems. We discuss the functionalization of these maps to create predictive models, including those useful in translation of genotype to phenotype, along with strategies for model visualization and challenges faced by multiscale modeling in the near future. Collectively, these approaches enable a unified hierarchical approach to biological data, with application from the molecular to the macroscopic

Proteoform Analysis and Construction of Proteoform Families in Proteoform Suite

Proteoform Suite is an interactive software program for the identification and quantification of intact proteoforms from mass spectrometry data. Proteoform Suite identifies proteoforms observed by intact-mass (MS1) analysis. In intact-mass analysis, unfragmented experimental proteoforms are compared to a database of known proteoform sequences and to one another, searching for mass differences corresponding to well-known post-translational modifications or amino acids. Intact-mass analysis enables proteoforms observed in the MS1 data without MS/MS (MS2) fragmentation to be identified. Proteoform Suite further facilitates the construction and visualization of proteoform families, which are the sets of proteoforms derived from individual genes. Bottom-up peptide identifications and top-down (MS2) proteoform identifications can be integrated into the Proteoform Suite analysis to increase the sensitivity and accuracy of the analysis. Proteoform Suite is open source and freely available at https://github.com/smith-chem-wisc/proteoform-suite

The expression pattern of systemically injected AAV9 in the developing mouse retina is determined by age.

Systemic delivery of AAV9 offers the potential for widespread and efficient gene delivery to the retina, and may thus be a useful approach for treatment of disease where intraocular injections are not possible, for syndromes affecting multiple organs, or where early intervention is required. The expression resulting from intravenous injection of AAV9 is more efficient in neonates than adults, and here we characterize the effect of age on retinal transduction of AAV9 in the mouse retina. We find that the pattern of expression in neonatal mice is correlated to the development of the retinal vasculature, and that the area of the retinal transduction as well as the cell types infected vary depending on the age at injection. Furthermore, we demonstrate that sequential injections of AAV9 vectors carrying two different transgenes infect adjacent areas of the retina, providing a larger area of coverage. Lastly, we show that the retina's endogenous spatiotemporal expression pattern of Mfsd2a, a protein associated with the maturation of a functional blood-brain barrier, coincides with suppression of retinal transduction by intravenously-delivered AAV9, suggesting that AAV9 crosses the blood-retina barrier through transcytosis

The expression pattern of systemically injected AAV9 in the developing mouse retina is determined by age.

Systemic delivery of AAV9 offers the potential for widespread and efficient gene delivery to the retina, and may thus be a useful approach for treatment of disease where intraocular injections are not possible, for syndromes affecting multiple organs, or where early intervention is required. The expression resulting from intravenous injection of AAV9 is more efficient in neonates than adults, and here we characterize the effect of age on retinal transduction of AAV9 in the mouse retina. We find that the pattern of expression in neonatal mice is correlated to the development of the retinal vasculature, and that the area of the retinal transduction as well as the cell types infected vary depending on the age at injection. Furthermore, we demonstrate that sequential injections of AAV9 vectors carrying two different transgenes infect adjacent areas of the retina, providing a larger area of coverage. Lastly, we show that the retina's endogenous spatiotemporal expression pattern of Mfsd2a, a protein associated with the maturation of a functional blood-brain barrier, coincides with suppression of retinal transduction by intravenously-delivered AAV9, suggesting that AAV9 crosses the blood-retina barrier through transcytosis

Construction of Human Proteoform Families from 21 Tesla Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Top-Down Proteomic Data

Identification of proteoforms, the different forms of a protein, is important to understand biological processes. A proteoform family is the set of different proteoforms from the same gene. We previously developed the software program Proteoform Suite, which constructs proteoform families and identifies proteoforms by intact-mass analysis. Here, we have applied this approach to top-down proteomic data acquired at the National High Magnetic Field Laboratory 21 tesla Fourier transform ion cyclotron resonance mass spectrometer (data available on the MassIVE platform with identifier MSV000085978). We explored the ability to construct proteoform families and identify proteoforms from the high mass accuracy data that this instrument provides for a complex cell lysate sample from the MCF-7 human breast cancer cell line. There were 2830 observed experimental proteforms, of which 932 were identified, 44 were ambiguous, and 1854 were unidentified. Of the 932 unique identified proteoforms, 766 were identified by top-down MS2 analysis at 1% false discovery rate (FDR) using TDPortal, and 166 were additional intact-mass identifications (∼4.7% calculated global FDR) made using Proteoform Suite. We recently published a proteoform level schema to represent ambiguity in proteoform identifications. We implemented this proteoform level classification in Proteoform Suite for intact-mass identifications, which enables users to determine the ambiguity levels and sources of ambiguity for each intact-mass proteoform identification