Protein Sequencing Research Articles

Nanopore Sequencing Technology: Working Principle, Key Issues and Applications

Achieving rapid and accurate DNA sequencing is of great clinical value for the detection of many infectious diseases. By determining the nucleic acid sequence of the sample, DNA sequencing can achieve rapid and accurate identification of infectious diseases. Moreover, this method has high detection flux and short time consumption, and it is increasingly used in clinical diagnosis and epidemic prevention. This Review discusses recent advancements in nanopore fabrication and sensing strategies. In this work, the speed control factors of DNA translocation across nanopores are discussed. The identification of multiple types of DNA modification are outlined. Besides, strategy for the multiplexed detection of analytes is also discussed. This technology can achieve sequencing of DNA, RNA, and proteins. It is considered to exhibit high sensitivity, selectivity and efficiency. This work will help people gain a deeper understanding of DNA sequencing technology using nanopores. This work will also promote the development of early diagnostic techniques in the future.

Hetero-Oligomeric Protein Pores for Single-Molecule Sensing.

Protein nanopores are emerging as versatile single-molecule sensors with broad applications in DNA and protein sequencing. However, their narrow size restricts the range of detectable analytes, necessitating the development of advanced nanopores to broaden their applications in biotechnology. This review highlights a natural hetero-oligomeric porin, Nocardia farcinica porin AB (NfpAB), based on the Gram-positive mycolata, Nocardia farcinica. The pore comprises two subunits, NfpA and NfpB, that combine to form a stable structure with a unique pore geometry, asymmetrical shape, and charge distribution. Single-channel electrical recordings demonstrate that NfpAB forms stable, high-conductance channels suitable for sensing charged molecules, particularly cationic polypeptides and cyclic sugars. This pore offers advantages such as enhanced control over molecular interactions due to densely crowded charged residues, thus allowing the quantification of voltage-dependent translocation kinetics. Notably, NfpAB contains intrinsic cysteines in the pore lumen, providing an accessible site for thiol-based reactions and attachment of molecular adapters. We propose that such hetero-oligomeric pores will be effective for several applications in nanopore technology for biomolecular detection and sequencing.

Towards Next Generation Protein Sequencing.

Understanding the structure and function of proteins is a critical objective in the life sciences. Protein sequencing, a central aspect of this endeavor, was first accomplished through Edman degradation in the 1950s. Since the late 20th century, mass spectrometry has emerged as a prominent method for protein sequencing. In recent years, single-molecule technologies have increasingly been applied to this field, yielding numerous innovative results. Among these, nanopore sensing has proven to be a reliable single-molecule technology, enabling advancements in amino acid recognition, short peptide differentiation, and peptide sequence reading. These developments are set to elevate protein sequencing technology to new heights. The next generation of protein sequencing technologies is anticipated to revolutionize our understanding of molecular mechanisms in biological processes and significantly enhance clinical diagnostics and treatments.

The potential of low‐intensity pulsed ultrasound to apply the long‐term ovary protection from injury induced by 4‐vinylcyclohexene diepoxide through inhibiting granulosa cell apoptosis

AbstractThe potential of low‐intensity pulsed ultrasound (LIPUS) in regulating ovarian function has been demonstrated; however, there is a lack of scientific evidence regarding the long‐term efficacy of LIPUS in treating ovarian injury and understanding its regulatory mechanisms. In this study, 4‐vinylcyclohexene diepoxide (VCD) was used to induce ovarian injury in rats, and LIPUS was applied to target the damaged ovarian tissues. The research aimed to investigate the long‐term protective effect of LIPUS against ovum toxicity induced by VCD and elucidate the associated molecular mechanisms. During the experiment, HE staining was employed for observing the morphology and structure of the ovary, while protein sequencing was utilized for identifying and confirming the molecular mechanism through which LIPUS restores the damaged ovarian structure. The long‐term effectiveness of LIPUS in protecting against ovarian injury was evaluated through ELISA, estrous cycle monitoring, fertility testing, and behavioral analysis. The results indicated that LIPUS effectively restored the structure of damaged ovaries. Both in vivo and in vitro studies revealed that this protective effect may be attributed to LIPUS inhibiting apoptosis of ovarian granulosa cells (GCs) by regulating Daxx‐mediated ASK1/JNK signaling pathway. Subsequent functional tests demonstrated significant improvements in sex hormone secretion and regulation of estrous cycle within 6 cycles following LIPUS treatment. Additionally, there was a notable increase in offspring numbers after mating. Behavioral analysis revealed that LIPUS effectively alleviated menopausal symptoms resulting from ovarian injury including mood fluctuations, cognitive behavior changes, and reduced muscle excitability levels. These findings suggest that beneficial effects of LIPUS may help reduce VCD‐induced ovarian damage with long‐term efficacy.

TDP1 splice-site mutation causes HAP1 cell hypersensitivity to topoisomerase I inhibition.

HAP1 is a near-haploid human cell line commonly used for mutagenesis and genome editing studies due to its hemizygous nature. We noticed an unusual hypersensitivity of HAP1 to camptothecin, an antineoplastic drug that stabilizes topoisomerase I cleavage complexes (TOP1ccs). We have attributed this hypersensitivity to a deficiency of TDP1, a key phosphodiesterase involved in resolving abortive TOP1ccs. Through whole-exome sequencing and subsequent restoration of TDP1 protein via CRISPR-Cas9 endogenous genome editing, we demonstrate that TDP1 deficiency and camptothecin hypersensitivity in HAP1 cells are a result of a splice-site mutation (TDP1 c.660-1G>A) that causes exon skipping and TDP1 loss of function. The lack of TDP1 in HAP1 cells should be considered when studying topoisomerase-associated DNA lesions and when generalizing mechanisms of DNA damage repair using HAP1 cells. Finally, we also report the generation of HAP1 STAR clones with restored TDP1 expression and function, which may be useful in further studies to probe cellular phenotypes relating to TOP1cc repair.

InTraSeq: A Multimodal Assay that Uncovers New Single-Cell Biology and Regulatory Mechanisms.

Single-cell RNA sequencing (scRNA-seq) has revolutionized cell biology by enabling the profiling of transcriptomes at a single-cell resolution, leading to important discoveries that have advanced our understanding of cellular and tissue heterogeneity, developmental trajectories, and disease progression. Despite these important advances, scRNA-seq is limited to measuring the transcriptome providing a partial view of cellular function. To address this limitation, multimodal scRNA-seq assays have emerged, allowing for the simultaneous measurement of RNA expression and protein. Intracellular Transcriptomic and Protein Sequencing (InTraSeq), a novel multimodal scRNA-seq technology described here, enables the concurrent measurement of mRNA, surface markers, cytoplasmic proteins, and nuclear proteins within individual cells through oligo-barcoded antibodies. This method offers a comprehensive approach to studying cellular function by combining RNA and protein profiling from the same sample and utilizing a relatively simple protocol. The InTraSeq method enables researchers to expand their view of critical intracellular protein expression including post-translational modifications (PTMs) and transcription factors, allowing for the identification of novel cellular subtypes and states that may be obscured by RNA-based analyses alone. This is particularly valuable in understanding the heterogeneity of cell populations and identifying distinct functional states. In this report, we used InTraSeq to characterize the complex cellular states and regulatory mechanisms during Th17 cell differentiation. We simultaneously profiled RNA and protein expression in over 85,000 cells, capturing transcriptional changes, changes in protein expression and the dynamics of signaling pathways at a high resolution. Our results revealed novel insights into Th17 cell differentiation, including the identification of key regulatory factors and their target genes. By simultaneously measuring mRNA, extra and intra-cellular proteins, signaling proteins, and PTMs, InTraSeq offers a comprehensive understanding of cellular processes and enables the identification of novel regulatory mechanisms.

Unlocking the wound-healing potential: An integrative in silico proteomics and in vivo analysis of Tacorin, a bioactive protein fraction from Ananas comosus (L.) Merr. Stem

Tacorin, a bioactive protein fraction derived from pineapple stem (Ananas comosus), has emerged as a promising therapeutic agent for wound healing. This study employs an integrated approach, combining in silico proteomics and in vivo investigations, to unravel the molecular mechanisms underlying Tacorin's wound healing properties. In the domain of in silico proteomics, the composition of Tacorin is elucidated through LC/MS-MS protein sequencing, revealing ananain (23.77 kDa) and Jacalin-like lectin (14.99 kDa) as its predominant constituents. Molecular protein-protein docking simulations unveil favorable interactions between Tacorin's components and key regulators of wound healing, including TGF-β, TNF-α, and MMP-2. The calculated free binding energies indicate strong binding affinities between Tacorin proteins and their target receptors. Specifically, ananain demonstrates a binding affinity of −12.2 kcal/mol with TGF-β, suggesting its potential as a potent activator of TGF-β-mediated signaling, while Jacalin-like lectin exhibits the most favorable binding affinity of −8.7 kcal/mol with TNF-α. Subsequent 100 ns molecular dynamics (MD) simulations provide insights into the dynamic behavior and stability of Tacorin-receptor complexes, shedding light on the molecular determinants of Tacorin's therapeutic effects. Complementing the in silico analyses, in vivo studies evaluate Tacorin's efficacy in wound healing using skin and uterine incision models. Tacorin treatment accelerates wound closure and promotes tissue repair in both models, as evidenced by macroscopic observations and histological assessments. Overall, this study provides compelling evidence of Tacorin's therapeutic potential in wound healing and underscores the importance of elucidating its molecular mechanisms for further development and clinical translation.

A major step forward toward high-resolution nanopore sequencing of full-length proteins

In a recent publication in Nature, Motone etal.1 report the development of a protein sequencing method using nanopores that enables the reading of long protein strands. This method allows for multi-pass re-reading and can detect single amino acid substitutions as well as post-translational modifications (PTMs).

Single-molecule protein sequencing with nanopores

Single-molecule protein sequencing with nanopores

Sustained immune activation and impaired epithelial barrier integrity in the ectocervix of women with chronic HIV infection.

Chronic systemic immune activation significantly influences human immunodeficiency virus (HIV) disease progression. Despite evidence of a pro-inflammatory environment in the genital tract of HIV-infected women, comprehensive investigations into cervical tissue from this region remain limited. Similarly, the consequences of chronic HIV infection on the integrity of the female genital epithelium are poorly understood, despite its importance in HIV transmission and replication. Ectocervical biopsies were obtained from HIV-seropositive (n = 14) and HIV-seronegative (n = 47) female Kenyan sex workers. RNA sequencing and bioimage analysis of epithelial junction proteins (E-cadherin, desmoglein-1, claudin-1, and zonula occludens-1) were conducted, along with CD4 staining. RNA sequencing revealed upregulation of immunoregulatory genes in HIV-seropositive women, primarily associated with heightened T cell activity and interferon signaling, which further correlated with plasma viral load. Transcription factor analysis confirmed the upregulation of pro-inflammatory transcription factors, such as RELA, NFKB1, and IKZF3, which facilitates HIV persistence in T cells. Conversely, genes and pathways associated with epithelial barrier function and structure were downregulated in the context of HIV. Digital bioimage analysis corroborated these findings, revealing significant disruption of various epithelial junction proteins in ectocervical tissues of the HIV-seropositive women. Thus, chronic HIV infection associated with ectocervical inflammation, characterized by induced T cell responses and interferon signaling, coupled with epithelial disruption. These alterations may influence HIV transmission and heighten susceptibility to other sexually transmitted infections. These findings prompt exploration of therapeutic interventions to address HIV-related complications and mitigate the risk of sexually transmitted infection transmission.

Successful adaptation of a MinION nanopore for protein sequencing

Successful adaptation of a MinION nanopore for protein sequencing

Graphite-Based Bio-Mimetic Nanopores for Protein Sequencing and Beyond.

Protein sequencing using nanopores represents the next frontier in bio-analytics. However, linearizing unfolded proteins and controlling their translocation speed through solid-state nanopores pose significant challenges in protein sequencing. In order to address these issues, this work proposes a biomimetic graphite-based nanopore construction. These nanopores feature a nanometer-sized pore with a constriction zone, mimicking the structure of the α-hemolysin protein pore. Ourall-atom Molecular Dynamics simulations demonstrate the high practical potential of these nanopores by revealing how their charge state renders them complete ion-selective and generates an electro-osmotic flow. This study shows that this nanopore construction can detect peptides at the single amino acid level by analyzing the ionic current traces generated as peptides traverse the nanopore. The novelty of the proposed nanopore lies in its ability to modulate the hydrodynamic drag induced by electro-osmotic flow, relative to the electro-phoretic force. This investigation reveals that tuning these forces helps to linearize translocating peptides and extend the residence time of individual amino acids at the constriction zone of the pore. This significantly enhances the detection and sequencing efficiency of the pore. Furthermore, the high relevance of the proposed nanopores is underscored for seawater desalination through electrodialysis and extends to ion separation under salinitygradients.

Leveraging Ion-Ion and Ion-Photon Activation to Improve the Sequencing of Proteins Carrying Multiple Disulfide Bonds: The Human Serum Albumin Case Study.

Gas-phase sequencing of large intact proteins (>30 kDa) via tandem mass spectrometry is an inherently challenging process that is further complicated by the extensive overlap of multiply charged product ion peaks, often characterized by a low signal-to-noise ratio. Disulfide bonds exacerbate this issue because of the need to cleave both the S-S and backbone bonds to liberate sequence informative fragments. Although electron-based ion activation techniques such as electron transfer dissociation (ETD) have been proven to rupture disulfide bonds in whole protein ions, they still struggle to produce extensive sequencing when multiple, concatenated S-S bonds are present on the same large polypeptide chain. Here, we evaluate the increase in sequence coverage obtained by combining activated-ion ETD (AI-ETD) and proton transfer charge reduction (PTCR) in the analysis of 66 kDa human serum albumin, which holds 17 disulfide bridges. We also describe the combination of AI-ETD with supplemental postactivation of the ETD reaction products via higher-energy collisional dissociation─a hybrid fragmentation method termed AI-EThcD. AI-EThcD leads to a further improvement compared to AI-ETD in both the global number of cleaved backbone bonds and the number of ruptured backbone bonds from disulfide-protected regions. Our results also demonstrate that the full potential of AI-ETD and AI-EThcD is unveiled only when combined with PTCR: reduction in overlap of ion signals leads to a sequence coverage as high as 39% in a single experiment, highlighting the relevance of spectral simplification in top-down mass spectrometry of large proteins.

Multi-pass nanopore for single-molecule protein sequencing.

Multi-pass nanopore for single-molecule protein sequencing.

ADTGP: correcting single-cell antibody sequencing data using Gaussian process regression.

We present ADTGP, an R package that uses Gaussian process regression to correct droplet-specific technical noise in single-cell protein sequencing data. ADTGP improves the interpretability of the data by modeling the distribution of protein expression, conditioned on equal isotype control counts across cells. ADTGP is written in R and needs only the protein raw counts, isotype control raw counts, and a design matrix to run. ADTGP can be installed from https://github.com/northNomad/ADTGP. It depends on Stan and the R package 'cmdstanr'.

Integrated plasma proteomics and myocardial tissue transcriptomics reveal elevated fibrosis markers in arrhythmogenic cardiomyopathy patients

Abstract Background Arrhythmogenic cardiomyopathy (ACM) is characterized by myocardial fibrofatty replacement and ventricular arrhythmias, with potential progression to heart failure. This study aims to identify ACM-specific biomarkers for improved prognosis and possible treatment strategies. Methods RNA sequencing and transcriptome analyses were performed in cardiomyocytes of 10 ACM patients, 10 dilated cardiomyopathy patients and 10 healthy controls. Analyses were performed using liquid chromatography and mass spectrometry. Additionally, plasma protein expression was assessed in 38 ACM patients and 24 healthy controls using the Proximity Extension Assay (Olink®). A standardized bicycle exercise test was performed in 11 ACM patients and controls and blood was obtained before and after exercise. Results Myocardial tissue transcriptomics identified several upregulated molecules associated with extracellular matrix formation and immune response in ACM. Plasma protein sequencing revealed upregulation of proteins involved in metabolic pathways, inflammation, and fibrosis. Integration of these analyses identified key soluble profibrotic markers such as Fibulin-3, Endostatin and C-X-C motif chemokine 10 (CXCL10) in plasma of ACM patients. After exercise, Fibulin-3 levels increased in ACM patients compared to controls. These findings were further validated using enzyme-linked immunosorbent assay (ELISA). Conclusion This comprehensive analysis revealed distinct proteomic and transcriptomic signatures in ACM patients' plasma and cardiomyocytes. The integrative analysis identified several upregulated profibrotic markers in ACM. Our Findings may advance diagnostic and prognostic strategies and offer potential therapeutic targets.

Engineering GID4 for use as an N-terminal proline binder via directed evolution.

Nucleic acid sequencing technologies have gone through extraordinary advancements in the past several decades, significantly increasing throughput while reducing cost. To create similar advancement in proteomics, numerous approaches are being investigated to advance protein sequencing. One of the promising approaches uses N-terminal amino acid binders (NAABs), also referred to as recognizers, that selectively can identify amino acids at the N-terminus of a peptide. However, there are only a few engineered NAABs currently available that bind to specific amino acids and meet the requirements of a biotechnology reagent. Therefore, additional NAABs need to be identified and engineered to enable confident identification and, ultimately, de novo protein sequencing. To fill this gap, a human protein GID4 was engineered to create a NAAB for N-terminal proline (Nt-Pro). While native GID4 binds Nt-Pro, its binding is weak (µmol/L) and greatly influenced by the identity of residues following the Nt-Pro. Through directed evolution, yeast-surface display, and fluorescence-activated cell sorting, we identified sequence variants of GID4 with increased binding response to Nt-Pro. Moreover, variants with an A252V mutation showed a reduced influence from residues in the second and third positions of the target peptide when binding to Nt-Pro. The workflow outlined here is shown to be a viable strategy for engineering NAABs, even when starting from native Nt-binding proteins whose binding is strongly impacted by the identity of residues following Nt-amino acid.

Generative AI Models for the Protein Scaffold Filling Problem.

De novo protein sequencing is an important problem in proteomics, playing a crucial role in understanding protein functions, drug discovery, design and evolutionary studies, etc. Top-down and bottom-up tandem mass spectrometry are popular approaches used in the field of mass spectrometry to analyze and sequence proteins. However, these approaches often produce incomplete protein sequences with gaps, namely scaffolds. The protein scaffold filling problem refers to filling the missing amino acids in the gaps of a scaffold to infer the complete protein sequence. In this article, we tackle the protein scaffold filling problem based on generative AI techniques, such as convolutional denoising autoencoder, transformer, and generative pretrained transformer (GPT) models, to complete the protein sequences and compare our results with recently developed convolutional long short-term memory-based sequence model. We evaluate the model performance both on a real dataset and generated datasets. All proposed models show outstanding prediction accuracy. Notably, the GPT-2 model achieves 100% gap-filling accuracy and 100% full sequence accuracy on the MabCampth protein scaffold, which outperforms the other models.

Whole-genome sequencing and assessment of a novel protein- and gossypol-degrading Bacillus subtilis strain isolated from intestinal digesta of Tibetan Pigs

BackgroundWith the rapid development of animal husbandry, the demand for protein feed resources is increasing. Cottonseed meal (CSM) and soybean meal (SBM) are rich sources of protein. However, their application is limited due to the existence of anti-nutrients, which can be harmful to the digestion and absorption. A strain of Bacillus subtilis (Mafic-Y7) was isolated from digesta of intestines of Tibetan pigs. The strain showed high protease activity, which helps in degrading proteinic anti-nutritional factors in grain meal and in vitro degradation of free gossypol. In order to better understand this isolated strain, whole genome of Mafic-Y7 strain was sequenced and analyzed. Different effects on various grain meals were identified.ResultThe GC-depth Poisson distributions showed no bias suggesting high-quality genome assembly of Mafic-Y7. The whole genome sequencing showed that one chromosome with 4,248,845 base pairs(bp)and the genes total length with 3,736,524 bp was predicted in Mafic-Y7. Additionally, Mafic-Y7 possessed 4,254 protein-coding genes, and several protease genes were annotated by aligning them with databases. There are 55 protease genes, one phytase gene and one laccase gene were annotated in the gene sequence of Mafic-Y7. The average nucleotide identity between Mafic-Y7 and the GCA-000009045.1 homologous genome was 0.9938, suggesting a close genetic relationship between them at the species level. Compared with the closest four whole genomes, Mafic-Y7 was annotated the most abundant of protease genes (55 genes). The fermentation supernatant of Mafic-Y7 could increase the content of small peptides, water-soluble proteins, and acid-soluble proteins in vitro by 411%, 281% and 317% in SBM and 420%, 257% and 338% in CSM. After fermentation in grain meal by Mafic-Y7, the degradation rate of anti-nutritional factors in SBM, such as trypsin inhibitor, glycinin, and β-conglycinin was greater than 70%, and lectin was greater than 30%. The degradation rates of anti-nutritional factors in CSM, such as gossypol and phytic acid, were 82% and 26%, respectively.

De novo protein sequencing of antibodies for identification of neutralizing antibodies in human plasma post SARS-CoV-2 vaccination

The antibody response to vaccination and infection is a key component of the immune response to pathogens. Sequencing of peripheral B cells may not represent the complete B cell receptor repertoire. Here we present a method for sequencing human plasma-derived polyclonal IgG using a combination of mass spectrometry and B-cell sequencing. We investigate the IgG response to the Moderna Spikevax COVID-19 vaccine. From the sequencing data of the natural polyclonal response to vaccination, we generate 12 recombinant antibodies. Six derived recombinant antibodies, including four generated with de novo protein sequencing, exhibit similar or higher binding affinities than the original natural polyclonal antibody. Neutralization tests reveal that the six antibodies possess neutralizing capabilities against the target antigen. This research provides insights into sequencing polyclonal IgG antibodies and the potential of our approach in generating recombinant antibodies with robust binding affinity and neutralization capabilities. Directly examining the circulating IgG pool is crucial due to potential misrepresentations by B-cell analysis alone.