Kyutae Kim

Polysaccharide-based nanoparticles for theranostic nanomedicine.

Polysaccharides are natural biological molecules that have numerous advantages for theranostics, the integrated approach of therapeutics and diagnostics. Their derivable reactive groups can be leveraged for functionalization with a nanoparticle-enabling conjugate, therapeutics (small molecules, proteins, peptides, photosensitizers) and/or diagnostic agents (imaging agents, sensors). In addition, polysaccharides are diverse in size and charge, biodegradable and abundant and show low toxicity in vivo. Polysaccharide-based nanoparticles are increasingly being used as platforms for simultaneous drug delivery and imaging and are therefore becoming popular theranostic nanoparticles. The review focuses on the method of nanoparticle formation (self-assembled, physical or chemical cross-linked) when engineering polysaccharide-based nanoparticles for theranostic nanomedicine. We highlight recent examples of polysaccharide-based theranostic systems from literature and their potential for use in the clinic, particularly chitosan- and hyaluronic acid-based NPs.

Quantitative proteome analysis of age‐related changes in mouse gastrocnemius muscle using mTRAQ

Aging is associated with a progressive loss of skeletal muscular function that often leads to progressive disability and loss of independence. Although muscle aging is well documented, the molecular mechanisms of this condition still remain unclear. To gain greater insight into the changes associated with aging of skeletal muscle, we performed quantitative proteomic analyses on young (6 months) and aged (27 months) mouse gastrocnemius muscles using mTRAQ stable isotope mass tags. We identified and quantified a total of 4585 peptides corresponding to 236 proteins (protein probability >0.9). Among them, 33 proteins were more than 1.5‐fold upregulated and 20 proteins were more than 1.5‐fold downregulated in aged muscle compared with young muscle. An ontological analysis revealed that differentially expressed proteins belonged to distinct functional groups, including ion homeostasis, energy metabolism, protein turnover, and Ca2+ signaling. Identified proteins included aralar1, β‐enolase, fatty acid‐binding protein 3, 3‐hydroxyacyl‐CoA dehydrogenase (Hadh), F‐box protein 22, F‐box, and leucine‐rich repeat protein 18, voltage‐dependent L‐type calcium channel subunit beta‐1, ryanodine receptor (RyR), and calsequestrin. Ectopic expression of calsequestrin in C2C12 myoblast resulted in decreased activity of nuclear factor of activated T‐cells and increased levels of atrogin‐1 and MuRF1 E3 ligase, suggesting that these differentially expressed proteins are involved in muscle aging.

High-throughput peptide quantification using mTRAQ reagent triplex

BackgroundProtein quantification is an essential step in many proteomics experiments. A number of labeling approaches have been proposed and adopted in mass spectrometry (MS) based relative quantification. The mTRAQ, one of the stable isotope labeling methods, is amine-specific and available in triplex format, so that the sample throughput could be doubled when compared with duplex reagents.Methods and resultsHere we propose a novel data analysis algorithm for peptide quantification in triplex mTRAQ experiments. It improved the accuracy of quantification in two features. First, it identified and separated triplex isotopic clusters of a peptide in each full MS scan. We designed a schematic model of triplex overlapping isotopic clusters, and separated triplex isotopic clusters by solving cubic equations, which are deduced from the schematic model. Second, it automatically determined the elution areas of peptides. Some peptides have similar atomic masses and elution times, so their elution areas can have overlaps. Our algorithm successfully identified the overlaps and found accurate elution areas. We validated our algorithm using standard protein mixture experiments.ConclusionsWe showed that our algorithm was able to accurately quantify peptides in triplex mTRAQ experiments. Its software implementation is compatible with Trans-Proteomic Pipeline (TPP), and thus enables high-throughput analysis of proteomics data.

Reinvestigation of aminoacyl-tRNA synthetase core complex by affinity purification-mass spectrometry reveals TARSL2 as a potential member of the complex.

Twenty different aminoacyl-tRNA synthetases (ARSs) link each amino acid to their cognate tRNAs. Individual ARSs are also associated with various non-canonical activities involved in neuronal diseases, cancer and autoimmune diseases. Among them, eight ARSs (D, EP, I, K, L, M, Q and RARS), together with three ARS-interacting multifunctional proteins (AIMPs), are currently known to assemble the multi-synthetase complex (MSC). However, the cellular function and global topology of MSC remain unclear. In order to understand the complex interaction within MSC, we conducted affinity purification-mass spectrometry (AP-MS) using each of AIMP1, AIMP2 and KARS as a bait protein. Mass spectrometric data were funneled into SAINT software to distinguish true interactions from background contaminants. A total of 40, 134, 101 proteins in each bait scored over 0.9 of SAINT probability in HEK 293T cells. Complex-forming ARSs, such as DARS, EPRS, IARS, Kars, LARS, MARS, QARS and RARS, were constantly found to interact with each bait. Variants such as, AIMP2-DX2 and AIMP1 isoform 2 were found with specific peptides in KARS precipitates. Relative enrichment analysis of the mass spectrometric data demonstrated that TARSL2 (threonyl-tRNA synthetase like-2) was highly enriched with the ARS-core complex. The interaction was further confirmed by coimmunoprecipitation of TARSL2 with other ARS core-complex components. We suggest TARSL2 as a new component of ARS core-complex.

Misfolded polypeptides are selectively recognized and transported toward aggresomes by a CED complex

Misfolded polypeptides are rapidly cleared from cells via the ubiquitin–proteasome system (UPS). However, when the UPS is impaired, misfolded polypeptides form small cytoplasmic aggregates, which are sequestered into an aggresome and ultimately degraded by aggrephagy. Despite the relevance of the aggresome to neurodegenerative proteinopathies, the molecular mechanisms underlying aggresome formation remain unclear. Here we show that the CTIF–eEF1A1–DCTN1 (CED) complex functions in the surveillance of either pre-existing or newly synthesized polypeptides by linking two molecular events: selective recognition and aggresomal targeting of misfolded polypeptides. These events are accompanied by CTIF sequestration into the aggresome, preventing the additional synthesis of misfolded polypeptides from mRNAs bound by nuclear cap-binding complex. These events render cells more resistant to apoptosis induced by proteotoxic stresses. Collectively, our data provide compelling evidence for a previously unappreciated protein surveillance pathway and a regulatory gene expression network for coping with misfolded polypeptides.