Biology subjects

Kawashima, Y.

Publications and source records attributed to Kawashima, Y..

14 recordsLinked to original sources

bioRxiv2026

A High-Sensitivity and High-Throughput LC-MS Workflow for Low-Input and Single-Cell Proteomics

Single-cell proteomics (SCP) requires sample preparation that minimizes sample loss and highly sensitive LC-MS analysis because the amount of protein available from a single cell is extremely limited. Here, we developed an integrated workflow for low-input and single-cell proteomics based on single-cell proteomics by LMNG-assisted sample preparation (scpLASP), which enables microliter-scale sample preparation using standard laboratory consumables. Systematic optimization of peptide reconstitution conditions identified 0.01% n-dodecyl-{beta}-D-maltoside (DDM) combined with 0.01% lauryl maltose neopentyl glycol (LMNG) as the condition yielding the highest number of identified peptides among those tested for low-input samples. Optimization of the LC mobile-phase composition identified 0.5% acetic acid with 1% dimethyl sulfoxide (DMSO) as the optimal condition, increasing the mean number of identified protein groups from 6,767 with 0.1% formic acid to 7,409 for 250 pg HeLa digests analyzed using an Orbitrap Astral Zoom. Shortening the LC gradient from 11 to 5.5 min enabled higher analytical throughput while maintaining mean identification counts of 6,558 and 7,088 protein groups from 100 and 250 pg HeLa digests, respectively, with median protein-level coefficients of variation of 9.20% and 6.99%. When the optimized workflow was applied to HEK293-derived Expi293F single cells using the same 5.5-min LC gradient, an effective analytical throughput of 135 samples per day was achieved with an injection volume of 4.5 {micro}L, accounting for sample-loading time. This workflow identified a median of 5,655 protein groups per cell using an empirical spectral library generated from 20-cell samples. Overall, this study establishes a sensitive and high-throughput workflow for low-input and single-cell proteomics that combines low-loss microliter-scale sample preparation with optimized LC-MS analysis, achieving high proteome depth and analytical throughput without requiring specialized nanoliter-scale sample-preparation devices.

biochemistry↗

bioRxiv2026

Serum preprocessing workflows differentially shape biological readout in data-independent acquisition proteomics of systemic juvenile idiopathic arthritis

Serum proteomics is increasingly used for minimally invasive biomarker discovery and disease phenotyping, and the choice of serum preprocessing workflow can shape proteome depth, quantitative characteristics, and downstream biological readouts. However, disease-oriented comparisons within a single cohort remain limited. Here, we compared four serum preprocessing workflows--Top14 depletion (TOP14D), tomato lectin affinity purification (TomAP), and two nanoparticle-based enrichment workflows (NPA and NPB)--using serum from six patients with systemic juvenile idiopathic arthritis (sJIA) and six age- and sex-matched healthy controls, and analyzed them using unified data-independent acquisition mass spectrometry (DIA-MS) and a statistical pipeline. We evaluated proteome depth, missingness, quantitative characteristics, group separation, differential abundance signatures, pathway enrichment, curated sJIA-related gene set coverage, pre-ranked gene set enrichment analysis (GSEA) results, and detection of inflammasome/interferon-related proteins. TomAP yielded the greatest proteome depth (7612 proteins), followed by NPB (6735 proteins) and NPA (6602 proteins), whereas TOP14D yielded the smallest protein set (3303 proteins). Principal component analysis (PCA) showed a separation between the sJIA and control groups for all workflows. Differentially expressed proteins (DEPs) showed limited overlap, with only 75 DEPs common to all four workflows. Functional enrichment patterns were workflow-dependent; TOP14D and TomAP mainly captured neutrophil/myeloid and inflammatory processes, whereas NPA and NPB captured RNA processing- and translation-related signals. TomAP showed relatively broad coverage and positive enrichment of curated sJIA-related gene sets associated with inflammation, innate immunity, and macrophage activation syndrome (MAS). Inflammasome/interferon-related proteins, including NLRC4, PYCARD, GSDMD, MEFV, IL-18, OAS3, and MYD88, showed workflow-dependent detectability and differential abundance. These findings support a disease-oriented benchmark for fit-for-purpose workflow selection according to the disease axis and analytical objective rather than proteome depth alone.

biochemistry↗

bioRxiv2026

Development of an Ethylenediaminetetraacetic Acid-Enhanced Deep Proteomic Profiling Method for Dried Blood Spots and Its Application in Mouse Disease Models

Dried blood spots (DBS) are well-established microsamples used in clinical testing and newborn screening. However, their use in deep proteomics is hindered by highly abundant blood proteins and inefficient protein recovery from filter paper matrices. The non-targeted analysis of non-specifically DBS-absorbed proteins (NANDA) workflow partially overcomes the impact of abundant blood proteins and has enabled the identification of over 5,000 proteins from DBS samples. Nonetheless, residual abundant proteins, including hemoglobin and fibrinogen, constrain deep proteomic analysis. Therefore, this study aimed to evaluate the effects of the metal chelator ethylenediaminetetraacetic acid (EDTA) on the depth of DBS proteomic analysis. An optimized EDTA-enhanced NANDA protocol that incorporated a 100 mM EDTA wash step was compatible with standard DBS collection procedures and required no modification of current clinical workflows, markedly enhancing the depletion of abundant proteins and facilitating its potential use in clinical and translational settings. When combined with Orbitrap Astral data-independent acquisition mass spectrometry, this approach enabled the single-shot identification of more than 7,000 proteins from DBS samples; to the best of our knowledge, this represents the deepest proteome coverage reported to date, and the workflow further supported high-throughput and highly reproducible analyses. Additionally, its application to mouse disease models revealed disease-specific systemic immune signatures from minimal blood volumes. Collectively, these results establish EDTA-enhanced NANDA as a practical and scalable workflow that overcomes longstanding limitations of DBS proteomics, thereby enabling deep, high-throughput, minimally invasive proteomic profiling across diverse biological and experimental contexts.

molecular biology↗

bioRxiv2026

TomAP-MS: an improved tomato lectin affinity purification-based mass spectrometry workflow enabling ultra-deep plasma proteomics

Plasma proteomics is increasingly important for biomarker discovery and disease stratification; however, comprehensive and high-throughput analysis remains challenging because of the extreme dynamic range of plasma proteins. We previously established tomato lectin affinity purification-based mass spectrometry (TomAP-MS), a workflow that enhances plasma proteome coverage via tomato lectin-mediated enrichment. The initial workflow depended on a 4% sodium dodecyl sulfate (SDS) elution, followed by SP3-based purification and digestion, which raised complexity and restricted throughput. In this study, we developed an improved TomAP-MS workflow incorporating lauryl maltose neopentyl glycol (LMNG)-assisted acid elution (LAcE), in which proteins are eluted under acidic conditions in the presence of LMNG. This process is followed by pH adjustment and direct tryptic digestion without SP3 cleanup. Compared with conventional acid elution and the original SDS/SP3 workflow, LAcE increased protein identifications while simplifying sample preparation and improving throughput. Using the optimized workflow, we identified more than 7,500 proteins from human plasma and demonstrated broader applicability in extracellular vesicle enrichment and protein interaction analysis workflows. We demonstrated that ethylenediaminetetraacetic acid plasma was the preferred specimen type, enabling the identification of over 5,000 proteins from just 1 {micro}L of plasma, with minimal impact on proteomic profiles after up to three freeze-thaw cycles. Additionally, the analysis of plasma from 200 healthy individuals reproducibly detected 4,117 proteins across all samples, including many proteins associated with inherited disorders. These findings establish TomAP-MS with LAcE as a practical platform for deep plasma proteomics, supporting its future application in proteomics-based screening and diagnostics.

biochemistry↗

bioRxiv2026

DIA-MS based plasma peptidomic workflow for profiling organ-derived peptides

Plasma contains diverse bioactive peptides that play crucial roles in maintaining homeostasis and regulating disease responses. However, the presence of peptides derived from high-abundance proteins such as albumin makes comprehensive analysis of native peptides secreted by organs challenging. This study aimed to establish a highly sensitive plasma peptidomic approach by combining data-independent acquisition (DIA) with spectral libraries of plasma and organs. First, peptides were extracted from plasma and eleven organ types using a high-yield peptide extraction method, the differential solubilization method. These peptides were then measured via data-dependent acquisition (DDA) analysis using a timsTOF HT for constructing empirical spectral library. Subsequently, DIA-MS data from plasma samples were measured and analyzed using this spectral library. This strategy achieved identification of, on average, over 5,500 peptides per run, with over 2,000 organ-derived peptides including 19 known bioactive peptides. The novel strategy proposed here enables highly sensitive quantitative analysis of organ-derived peptides in plasma, linking them to their secreting organs. It is expected to substantially contribute not only to the discovery of biomarkers and novel bioactive peptides but also to elucidating the pathophysiology of systemic diseases.

biochemistry↗

bioRxiv2026

Synaptic mitochondrial oxidative stress drives individual variability in age-related cognitive decline in mice

Aging leads to cognitive decline with considerable individual variability, yet the biological mechanisms remain unclear. Here we performed ultrastructural and proteomic analyses of the medial prefrontal cortex (mPFC) alongside behavioral assessments of attentional set shifting in mice across age groups. Although reduced synaptic density did not consistently lead to cognitive decline, proteomic analyses of synaptosomes and whole tissue revealed that the molecular signatures associated with individual variability in cognitive decline were distinct from those associated with chronological aging, and that synaptic mitochondria and their proteins were more abundant in aged mice with greater cognitive decline. Moreover, treatment with the mitochondria-targeted antioxidant MitoQ reduced the abundance of synaptic mitochondrial proteins, including pro-apoptotic proteins, and mitigated age-related cognitive decline. These findings demonstrate that synaptic mitochondrial oxidative stress in the mPFC, distinct from chronological age-related processes, contributes to individual variability in age-related cognitive decline and offers a potential target for prevention and intervention.

animal behavior and cognition↗

bioRxiv2025

Liver lipid droplet cholesterol content is a key determinant of metabolic dysfunction-associated steatohepatitis

Metabolic dysfunction-associated steatohepatitis (MASH) represents a progressive form of steatotic liver disease which increases the risk for fibrosis and advanced liver disease. The accumulation of discrete species of bioactive lipids has been postulated to activate signaling pathways that promote inflammation and fibrosis. However, the key pathogenic lipid species is a matter of debate. We explored candidates using various dietary, molecular, and genetic models. Mice fed a choline-deficient L-amino acid-defined high-fat diet (CDAHFD) developed steatohepatitis and manifested early markers of liver fibrosis associated with increased cholesterol content in liver lipid droplets within 5 days without any changes in total liver cholesterol content. Treating mice with antisense oligonucleotides (ASOs) against Coenzyme A synthase (Cosay) or treatment with bempedoic acid or atorvastatin decreased liver lipid droplet cholesterol content and prevented CDAHFD-induced MASH and the fibrotic response. All these salutary effects were abrogated with dietary cholesterol supplementation. Analysis of human liver samples demonstrated that cholesterol in liver lipid droplets was increased in humans with MASH and liver fibrosis and was higher in PNPLA3 I148M (variants rs738409) than in HSD17B13 variants (rs72613567). Together, these data identify cholesterol in liver lipid droplets as a critical mediator of MASH and demonstrate that COASY knockdown and bempedoic acid are novel therapeutic approaches to reduce liver lipid droplet cholesterol content and thereby prevent the development of MASH and liver fibrosis. Significance StatementMetabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease linked to fibrosis. The role of specific lipid species in its pathogenesis remains debated. Using dietary, molecular, and genetic models, we found that mice on a choline-deficient, high-fat diet (CDAHFD) developed steatohepatitis and early fibrosis, marked by increased cholesterol in liver lipid droplets within five days. Targeting COASY with antisense oligonucleotides or treating with bempedoic acid or atorvastatin reduced lipid droplet cholesterol and prevented MASH. However, dietary cholesterol supplementation negated these effects. Human liver samples confirmed elevated lipid droplet cholesterol in MASH and fibrosis, especially in PNPLA3 I148M carriers. These findings highlight cholesterol reduction as a potential MASH therapy.

pathology↗

bioRxiv2024

A novel newborn screening modality: Non-targeted proteome analysis using low-cost iron powders

In this study, we developed a simple protein extraction method for dried blood spots (DBS) that potentially meets the throughput required for newborn screening (NBS) and optimizes non-targeted proteomic analysis in combination with liquid chromatography coupled mass spectrometry in the data-independent-acquisition mode (DIA-LC-MS/MS). The developed pipeline, termed Non-targeted Analysis of Non-specifically DBS-Absorbed proteins (NANDA), successfully addressed the following three challenges: (1) processing of 96 3.2-mm DBS punches in parallel using low-cost iron powders with a robotic system, (2) identifying more than 5,000 proteins using DIA-LC-MS/MS, and (3) improving DIA-LC-MS/MS throughput to 40 samples/day with minimal compromise in protein coverage depth. The results imply that this pipeline can open new venues for conducting NBS using non-targeted quantitative proteome profiling, which has been a currently missing modality in NBS.

molecular biology↗

bioRxiv2024

Ultra-deep proteomics by Thin-diaPASEF with a 60-cm long column system

Proteomics using mass spectrometry (MS) has significantly advanced, offering deep insights into complex proteomes. The timsTOF MS platform with its parallel accumulation-serial fragmentation (PASEF) technology has achieved high scan speeds and high-quality spectra. Bukers timsTOF HT, which features TIMS-XR technology, offers an improved dynamic range and analysis depth, supporting high sample loadings. Moreover, various improvements to the data-independent acquisition method based on the PASEF technology (diaPASEF) have been reported. Despite these advancements, most high-level deep proteomic reports are based on the Orbitrap Astral and Orbitrap Exploris 480, and analytical systems using timsTOF MS still require improvement. Here, Brukers timsTOF HT was used to validate and optimize key diaPASEF parameters, leading to the development of a Thin-diaPASEF method. This method provides a high quantitative accuracy and consistency. In our validation, 9,400 proteins were identified in a single shot from HEK cells (strictly controlled Protein false discovery rate < 1%), the highest number analyzed by the timsTOF MS series using standard human cultured cells. Furthermore, by combining Thin-diaPASEF with an improved Lycopersicon esculentum lectin method, over 5,000 proteins were identified in a 24-sample/d analysis, and we succeeded in constructing a system with high proteome coverage that can be used for biomarker discovery.

biochemistry↗

bioRxiv2023

Mapping adipocyte interactome networks by HaloTag enrichment mass-spectrometry

Mapping protein interaction complexes in their natural state in vivo represents the holy grail of protein network analysis. Detection of protein interaction stoichiometry has been an important technical challenge, as few studies have focused this, yet this may be solved by artificial intelligence and proteomics. Here, we describe the development of HaloMS, a high-throughput HaloTag-based affinity purification-mass spectrometry assay for protein interaction discovery. The approach enables the rapid capture of newly expressed proteins, eliminating tedious conventional one-by-one assay. As a proof-of-principle, we used HaloMS to evaluate protein complex interactions of 17 regulatory proteins in human adipocytes. The adipocyte interactome network was validated using an in vitro pull-down assay and artificial intelligence-based prediction tools. The application of HaloMS to probe adipocyte differentiation facilitated the identification of previously unknown transcription factor-protein complexes, revealing proteome-wide human adipocyte transcription factor networks, and shedding light on how different pathways are integrated.

biochemistry↗

bioRxiv2023

Universal pretreatment development for low-input proteomics using Lauryl Maltose Neopentyl Glycol

In recent years, the demand for low-input proteomics, most notably single-cell proteomics (SCP), has increased. In this study, we developed a Lauryl Maltose Neopentyl Glycol (LMNG)-assisted sample preparation (LASP) method that suppresses the loss of proteins and peptides in samples by adding LMNG, a surfactant, to the digested solution and removing the LMNG simply via reversed phase solid-phase extraction. The advantage of removing LMNG during sample preparation for general proteomic analysis is that it prevents mass spectrometry (MS) contamination. When the LASP method was applied to the low-input SP3 method and on-bead digestion in immunoprecipitation-MS, the recovery of the digested peptides was greatly improved. Furthermore, we established a simple and operationally easy sample preparation method for SCP based on the LASP method (scpLASP) and identified a median of 1,175 proteins from a single HEK239F cell using liquid chromatography (LC)-MS/MS with a throughput of 80 samples per day.

biochemistry↗

bioRxiv2023

Global changes in open reading frame dominance of RNAs during cancer initiation and progression

Cancer cells express unique RNA transcripts; however, the factors determining their translation have remained unclear. We recently developed open reading frame (ORF) dominance as a measure that correlates with coding potential of RNAs. Upon calculating the ORF dominance of cancer-specific transcripts across 24 human tumor types, 14 exhibited significantly higher ORF dominance in cancer than in normal tissues. In organoid-based mouse genetic models, ORF dominance increased with carcinogenesis. Gene ontology analysis revealed that gene sets with increased ORF dominance were associated with cell proliferation, while those with decreased ORF dominance were linked to DNA damage response. Translatome analyses demonstrated that elevated ORF dominance during carcinogenesis resulted in higher translation frequencies of ribosome-bound RNAs. As cancer progressed, ORF dominance showed that the boundary between coding and noncoding transcripts became blurred prior to distant metastasis, indicating decreased proliferative cell populations and increased generation of RNA isoforms that potentially translate neoantigens before the development of metastatic tumors. These findings suggest that cancer evolution leads to dynamic changes in ORF dominance, resulting in global translational alterations in transcriptomes.

cancer biology↗

bioRxiv2023

Sprouty4 is required for Mdm2 regulation of invasion, focal adhesion formation and metastasis in cells lacking p53.

Although the E3 ligase Mdm2 and its homologue and binding partner MdmX are the major regulators of the p53 tumor suppressor protein, it is now evident that Mdm2 and MdmX have multiple functions that are independent of p53. For example, Mdm2 can regulate cell migration, although mechanistic insight into this function is still lacking. Here we show in cells lacking p53 expression that knockdown of Mdm2 or MdmX, as well as pharmacological inhibition of the Mdm2/MdmX complex, not only reduces cell migration and invasion, but also impairs cell spreading and focal adhesion formation. In addition, Mdm2 knockdown decreases metastasis in vivo. Remarkably, Mdm2 modulates the expression of Sprouty4, which is required for the Mdm2 mediated effects on cell migration, focal adhesion formation and metastasis. Our findings describe a molecular mechanism by which the Mdm2-X complex, through Sprouty4, regulates cellular processes leading to decreased metastatic capability independent of p53.

cancer biology↗

bioRxiv2020

Steady state evoked potential (SSEP) responses in the primary and secondary somatosensory cortices of anesthetized cats: nonlinearity characterized by harmonic and intermodulation frequencies

When presented with an oscillatory sensory input at a particular frequency, F [Hz], neural systems respond with the corresponding frequency, f [Hz], and its multiples. When the input includes two frequencies (F1 and F2) and they are nonlinearly integrated in the system, responses at intermodulation frequencies (i.e., n1*f1+n2*f2 [Hz], where n1 and n2 are non-zero integers) emerge. Utilizing these properties, the steady state evoked potential (SSEP) paradigm allows us to characterize linear and nonlinear neural computation performed in cortical neurocircuitry. Here, we analyzed the steady state evoked local field potentials (LFPs) recorded from the primary (S1) and secondary (S2) somatosensory cortex of anesthetized (ketamine-xylazine) cats while we presented slow (F1=23Hz) and fast (F2=200Hz) somatosensory vibration to the contralateral paw pads and digits. Over 9 experimental sessions, we recorded LFPs from N=1620 and N=1008 bipolar-referenced sites in S1 and S2 using electrode arrays. Power spectral analyses revealed strong responses at 1) the fundamental (f1, f2), 2) its harmonic, 3) the intermodulation frequencies, and 4) broadband frequencies (50-150Hz). To compare the computational architecture in S1 and S2, we employed simple computational modeling. Our modeling results necessitate nonlinear computation to explain SSEP in S2 more than S1. Combined with our current analysis of LFPs, our paradigm offers a rare opportunity to constrain the computational architecture of hierarchical organization of S1 and S2 and to reveal how a large-scale SSEP can emerge from local neural population activities.

neuroscience↗