0% Complete
the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Towards Efficient Recombinant Protein Production: In-silico screening of signal peptides for secretory production of recombinant factor C in mammalian cells
نویسندگان :
Maryam Latifi
1
Kosar Asadi
2
Mansoureh Shahbazi Dastjerdeh
3
1- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
2- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
3- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
کلمات کلیدی :
Signal Peptides،In silico Modeling،Limulus factor C،recombinant protein،computational biology
چکیده :
Background: Endotoxins (lipopolysaccharides) found in the outer membrane of gram-negative bacteria are major contributors to pyrogenic responses in contaminated pharmaceutical products and medical devices. These molecules can induce a range of effects in mammals, from mild fever to severe conditions such as septic shock and death. Consequently, there is a critical need for accurate bacterial endotoxin testing (BET). Factor C, a key protein derived from horseshoe crab blood, plays a central role in detecting endotoxins. Its recombinant production holds significant importance as it offers a sustainable and ethical alternative to the traditional preparation of Limulus Amoebocyte Lysate (LAL) assay kits, which rely on the extraction of blood from live horseshoe crabs. (Kang, Yun et al. 2024) . Mammalian cell lines, widely utilized for expressing recombinant proteins, are particularly suited for producing recombinant Factor C (rFC) because they support post-translational modifications necessary for protein stability and functionality (Kobayashi, Shiga et al. 2014) . The presence of a signal peptide is essential to direct nascent polypeptide chains to the endoplasmic reticulum, where proper folding and post-translational modifications occur (O’Neill, Mistry et al. 2023) . Signal peptides are short sequences located at the N-terminal of the protein, and they are cleaved by signal peptidases after translocation, yielding the mature, functional protein (Pool 2022) . Selecting the optimal signal peptide for recombinant protein production traditionally involves experimental screening, which is both costly and time-consuming. To address these challenges, this study conducted an in-silico evaluation of 74 secretory signal peptides to identify the most suitable candidates for the efficient secretory production of recombinant Factor C of Carcinoscorpius rotundicauda in mammalian cells. Method: Signal peptide sequences were retrieved from the UniProt database and previously published papers. The presence and location of cleavage sites within the sequences, fused to the N-terminal of the rFC protein, were predicted using SignalP 6.0. Physiochemical properties critical for protein expression, including length, net positive charge, instability index, GRAVY score, and aliphatic index, were assessed using the ProtParam server. Additionally, protein solubility and subcellular localization of protein which are essential for proper folding and activity in eukaryotic systems, were evaluated using the DeepLoc 2.1 server. Result and discussion: Out of the 74 signal peptides analyzed, 49 were excluded: one lacked a cleavage site, 17 exhibited incorrect cleavage sites, and 31 were predicted to be unstable. The remaining 33 signal peptides were ranked based on their GRAVY scores, a parameter indicative of hydrophobicity. Among these, the top five candidates—CALR, native G, Scrg1, rituximab native HC, and HSP90B1—exhibited the highest GRAVY scores, suggesting their potential suitability for the secretory production of recombinant Factor C.
لیست مقالات
لیست مقالات بایگانی شده
Molecular Interactions Between Vitiligo and Thyroid Diseases: Identification of Hub Genes, Pathways and Therapeutic miRNAs
Fatemeh Akbarzadeh-Ebrahimi
A Contrastive Learning Framework for Single-Cell Multi-Omics Data Integration
Amir Ebrahimi - Alireza Fotuhi Siahpirani - Hesam Montazeri
Comprehensive Analysis of DCLK Family Kinases in Gastrointestinal Cancers and Neoplastic Progression
Zahra Salehi - Leili Rejali - Moein Piroozkhah - Pooya Jalali - Ali Aghajani - Mahsa Saeedi Niyasar - Binazir Khanabadi - Amir Sadeghi - Ehsan Nazemalhossein Mojarad
Investigation of Potent Inhibitors to Control Bacillus anthracis by Targeting Its Anthrax Toxin: A Molecular Docking Study
Melika Sadat Samadi - Ghazal Shirdel - Amir Mohammad Akbarian khujin - Elnaz Afshari
Using structural controllability to analyze signaling pathways and PPI networks for the identification of therapeutic targets in colorectal cancer
Zoha RashidiPour - Farinaz Roshani
Upregulation of IL6 as a Hub Gene in Metastatic Breast Cancer: Insights from Gene Expression and Network Analysis
Roxana Tajdini - Farinaz Behfarjam - Maryam Shahhoseini - Mostafa Rafiepour
DTMP-Prime: A Deep Transformer-based Model for Predicting Prime Editing Efficiency and PegRNA Activity
Roghayyeh Alipanahi - Leila Safari - Alireza Khanteymoori
Fully Convolutional Neural Networks for Volumetric Segmentation of Ultrasound Images: An Effective Tool for Automated Estimation of Fetal Head Circumference
Seyed Vahab Shojaedini - Mohammad Momenian
Drug reproposing for brain cancer
Zahra Shahini - Farinaz Roshani
The key role of genes involved in proline biosynthesis and photosynthesis in drought response during Soybean flowering stage
Zeinab Shamabadi - Maryam Pasandideh Arjmand - Mohammad Mohsenzadeh Golfazani - Habibollah Samizadeh lahiji
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0