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    Laboratory detection methods for the human coronaviruses

    , Article European Journal of Clinical Microbiology and Infectious Diseases ; 2020 Shabani, E ; Dowlatshahi, S ; Abdekhodaie, M. J ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2020
    Coronaviruses are a group of envelop viruses which lead to diseases in birds and mammals as well as human. Seven coronaviruses have been discovered in humans that can cause mild to lethal respiratory tract infections. HCoV-229E, HCoV-OC43, HCoV-NL63, and HCoV-HKU1 are the low-risk members of this family and the reason for some common colds. Besides, SARS-CoV, MERS-CoV, and newly identified SARS-CoV-2, which is also known as 2019-nCoV, are the more dangerous viruses. Due to the rapid spread of this novel coronavirus and its related disease, COVID-19, a reliable, simple, fast, and low-cost detection method is necessary for patient diagnosis and tracking worldwide. Human coronaviruses detection... 

    Abnormal expression of NF-κB-related transcripts in blood of patients with inflammatory peripheral nerve disorders

    , Article Metabolic Brain Disease ; Volume 36, Issue 8 , 2021 , Pages 2369-2376 ; 08857490 (ISSN) Azimi, T ; Ghafouri Fard, S ; Badrlou, E ; Omrani, D ; Nazer, N ; Sayad, A ; Taheri, M ; Sharif University of Technology
    Springer  2021
    The NF-κB family includes some transcription factors which have important functions in the regulation of immune responses, therefore participating in the pathophysiology of inflammatory conditions such as peripheral neuropathies. We have quantified expression of a number of NF-κB-related transcripts in patients with Guillain-Barré syndrome (GBS) or chronic inflammatory demyelinating polyneuropathy (CIDP) versus healthy subjects. These transcripts have been previously shown to be functionally related with this family of transcription factors. Expressions of ATG5, DICER-AS1, PACER, DILC, NKILA and ADINR have been increased in both CIDP and GBS patients compared with controls. However,... 

    Dysregulation of lncRNAs in circulation of patients with periodontitis: results of a pilot study

    , Article BMC Oral Health ; Volume 21, Issue 1 , 2021 ; 14726831 (ISSN) Ghafouri Fard, S ; Gholami, L ; Badrlou, E ; Sadeghpour, S ; Nazer, N ; Shadnoush, M ; Sayad, A ; Taheri, M ; Sharif University of Technology
    BioMed Central Ltd  2021
    Background: Periodontitis is a chronic inflammatory disorder with a complex etiology. Long non-coding RNAs (lncRNAs) have been shown to affect pathoetiology of periodontitis. We aimed at identification of expression of five lncRNAs, namely Linc0116, Linc00667, CDK6-AS1, FENDRR and DIRC3 in the circulation and gingival tissues of these patients compared with healthy controls. Methods: In a pilot case–control study, we compared expressions of Linc0116, Linc00667, CDK6-AS1, FENDRR and DIRC3 lncRNAs between blood and tissue samples of patients with periodontitis and healthy controls using real time quantitative PCR technique. The present work was performed on samples got from 26 patients with... 

    The impact of including tRNA content on the optimality of the genetic code

    , Article Bulletin of Mathematical Biology ; Volume 67, Issue 6 , 2005 , Pages 1355-1368 ; 00928240 (ISSN) Goodarzi, H ; Shateri Najafabadi, H ; Ahmadi Nejad, H ; Torabi, N ; Sharif University of Technology
    Statistical and biochemical studies have revealed nonrandom patterns in codon assignments. The canonical genetic code is known to be highly efficient in minimizing the effects of mistranslational errors and point mutations, since it is known that, when an amino acid is converted to another due to error, the biochemical properties of the resulted amino acid are usually very similar to those of the original one. In this study, we have taken into consideration both relative frequencies of amino acids and relative gene copy frequencies of tRNAs in genomic sequences in order to introduce a fitness function which models the mistranslational probabilities more accurately in modern organisms. The... 

    Enhancing and Normalizing DNA Microarray Data Using RNA-seq Dataset

    , M.Sc. Thesis Sharif University of Technology Khajeh, Tina (Author) ; Motahari, Abolfazl (Supervisor) ; Beigy, Hamid ($item.subfieldsMap.e)
    Nowadays, many progresses in biology and medicine such as diagnosis of diseases and drug discoveries depend heavily on analyzing biological datasets collected from advanced machines. DNA Microarrays are amongst such machines applicable in measuring the expressions levels of thousand of genes and genotyping of a set of single nucleotide polymorphic sites to name a few. Compared to the more advanced Next Generation Sequencing (NGS) technology, the microarray platform produces lower quality of datasets. However, there has been tones of efforts to produce, process, and curate datasets from microarrays based on well designed protocols for sample preparation, hybridization, image processing, and... 

    De novo RNA sequencing analysis of Aeluropus littoralis halophyte plant under salinity stress

    , Article Scientific Reports ; Volume 10, Issue 1 , 4 June , 2020 Younesi Melerdi, E ; Nematzadeh, G. A ; Pakdin Parizi, A ; Bakhtiarizadeh, M. R ; Motahari, S. A ; Sharif University of Technology
    Nature Research  2020
    The study of salt tolerance mechanisms in halophyte plants can provide valuable information for crop breeding and plant engineering programs. The aim of the present study was to investigate whole transcriptome analysis of Aeluropus littoralis in response to salinity stress (200 and 400 mM NaCl) by de novo RNA-sequencing. To assemble the transcriptome, Trinity v2.4.0 and Bridger tools, were comparatively used with two k-mer sizes (25 and 32 bp). The de novo assembled transcriptome by Bridger (k-mer 32) was chosen as final assembly for subsequent analysis. In general, 103290 transcripts were obtained. The differential expression analysis (log2 FC > 1 and FDR < 0.01) showed that 1861... 

    You are what you eat: Sequence analysis reveals how plant microRNAs may regulate the human genome

    , Article Computers in Biology and Medicine ; Volume 106 , 2019 , Pages 106-113 ; 00104825 (ISSN) Kashani, B ; Hasani Bidgoli, M ; Motahari, S. A ; Sedaghat, N ; Modarressi, M. H ; Sharif University of Technology
    Elsevier Ltd  2019
    Background: Nutrigenomic has revolutionized our understanding of nutrition. As plants make up a noticeable part of our diet, in the present study we chose microRNAs of edible plants and investigated if they can perfectly match human genes, indicating potential regulatory functionalities. Methods: miRNAs were obtained using the PNRD database. Edible plants were separated and microRNAs in common in at least four of them entered our analysis. Using vmatchPattern, these 64 miRNAs went through four steps of refinement to improve target prediction: Alignment with the whole genome (2581 results), filtered for those in gene regions (1371 results), filtered for exon regions (66 results) and finally... 

    Over-Expression of immune-related lncrnas in inflammatory demyelinating polyradiculoneuropathies

    , Article Journal of Molecular Neuroscience ; Volume 71, Issue 5 , 2021 , Pages 991-998 ; 08958696 (ISSN) Sadeghpour, S ; Ghafouri-Fard, S ; Mazdeh, M ; Nicknafs, F ; Nazer, N ; Sayad, A ; Taheri, M ; Sharif University of Technology
    Humana Press Inc  2021
    Long non-coding RNAs (lncRNAs) have crucial roles in the pathogenesis of immune-related disorders. However, their role in the pathobiology of inflammatory demyelinating polyradiculoneuropathies remains unclear. In the current study, we measured peripheral expression of four lncRNAs, namely TUG1, FAS-AS1, NEAT1, and GAS5, in patients with acute/chronic inflammatory demyelinating polyradiculoneuropathies (AIDP/CIDP) compared with healthy subjects. Notably, all lncRNAs were over-expressed in patients compared with controls (P < 0.0001 for all lncRNAs). When assessing their expressions in AIDP and CIDP groups separately, TUG1 and NEAT1 were up-regulated in both patient groups compared with... 

    Dysregulation of lncRNAs in autoimmune neuropathies

    , Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) Gholipour, M ; Taheri, M ; Mehvari Habibabadi, J ; Nazer, N ; Sayad, A ; Ghafouri Fard, S ; Sharif University of Technology
    Nature Research  2021
    Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) and Guillain-Barré syndrome (GBS) are inflammatory neuropathies with different clinical courses but similar underlying mechanisms. Long non-coding RNAs (lncRNAs) might affect pathogenesis of these conditions. In the current project, we have selected HULC, PVT1, MEG3, SPRY4-IT1, LINC-ROR and DSCAM-AS1 lncRNAs to appraise their transcript levels in the circulation of CIDP and GBS cases versus controls. Expression of HULC was higher in CIDP patients compared with healthy persons (Ratio of mean expression (RME) = 7.62, SE = 0.72, P < 0.001). While expression of this lncRNA was not different between female CIDP cases and female... 

    Downregulation of ITM2A gene expression in macrophages of patients with ankylosing spondylitis

    , Article International Archives of Allergy and Immunology ; Volume 182, Issue 11 , 2021 , Pages 1113-1121 ; 10182438 (ISSN) Lari, A ; Pourbadie, H. G ; Jafari, M ; Sharifi Zarchi, A ; Akhtari, M ; Nejatbakhsh Samimi, L ; Jamshidi, A ; Mahmoudi, M ; Sharif University of Technology
    S. Karger AG  2021
    Objectives: Ankylosing spondylitis (AS) is a rheumatic disorder that is mostly determined by genetic and environmental factors. Given the known importance of macrophage in AS pathogenesis, we investigated the transcriptional profile of macrophage cells in the disease. Methods and Results: Two approaches of differential expression and subsequently, weighted gene co-expression network analysis was utilized to analyze a publicly available microarray dataset of macrophages. Integral membrane protein 2A (ITM2A) was among the most significant genes with a decreased trend in the common results of both methods. In order to confirm the finding, the expression of ITM2A was evaluated in... 

    Characterization of a moderate thermophilic Nocardia species able to grow on polycyclic aromatic hydrocarbons

    , Article Letters in Applied Microbiology ; Volume 45, Issue 6 , December , 2007 , Pages 622-628 ; 02668254 (ISSN) Zeinali, M ; Vossoughi, M ; Ardestani, S. K ; Sharif University of Technology
    Aims: Our goal was the characterization of a new moderate thermophilic polycyclic aromatic hydrocarbon (PAH)-utilizing Nocardia strain. Methods and Results: A thermophilic bacterium, strain TSH1, was isolated from a contaminated soil. The macroscopic and microscopic features fit well with the description of Nocardia species. The results of 16S rRNA gene analysis showed 100% match to the type strain of N. otitidiscaviarum DSM 43242T. Strain TSH1 showed the same mycolic acid pattern as the type strain of N. otitidiscaviarum but its fatty acid profile did not permit identification to the species level. The carbon utilization profile of strain TSH1 was different from N. otitidiscaviarum. The... 

    Computational Deconvolution of Bulk Tissue Transcriptomic Data

    , M.Sc. Thesis Sharif University of Technology Hashemi, Tahoura Sadat (Author) ; Motahari, Abolfazl (Supervisor)
    Bulk tissue RNA-seq data has been widely used for investigating the transcriptome and analyzing it for different purposes. A single bulk sample of a heterogeneous population includes different cell-types each in different proportions. Bulk tissue RNA-seq measures the average expression level of genes across these cell types and does not account for cross-subject variation in cell-type compositions. Furthermore, biological signals might be masked by taking the average of gene expressions. Because of these reasons, bulk-RNA-seq is not suffcient for studying complex tissues. Knowing these cell-type compositions are important, because studying cell-specific changes in the transcriptome might be... 

    Point-of-use rapid detection of sars-cov-2: Nanotechnology-enabled solutions for the covid-19 pandemic

    , Article International Journal of Molecular Sciences ; Volume 21, Issue 14 , 2020 , Pages 1-23 Rabiee, N ; Bagherzadeh, M ; Ghasemi, A ; Zare, H ; Ahmadi, S ; Fatahi, Y ; Dinarvand, R ; Rabiee, M ; Ramakrishna, S ; Shokouhimehr, M ; Varma, R. S ; Sharif University of Technology
    MDPI AG  2020
    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the COVID-19 pandemic that has been spreading around the world since December 2019. More than 10 million affected cases and more than half a million deaths have been reported so far, while no vaccine is yet available as a treatment. Considering the global healthcare urgency, several techniques, including whole genome sequencing and computed tomography imaging have been employed for diagnosing infected people. Considerable efforts are also directed at detecting and preventing different modes of community transmission. Among them is the rapid detection of virus presence on different surfaces with which people may come in... 

    Dna-Rna hybrid (R-loop): From a unified picture of the mammalian telomere to the genome-wide profile

    , Article Cells ; Volume 10, Issue 6 , 2021 ; 20734409 (ISSN) Rassoulzadegan, M ; Sharifi Zarchi, A ; Kianmehr, L ; Sharif University of Technology
    MDPI  2021
    Local three-stranded DNA/RNA hybrid regions of genomes (R-loops) have been detected either by binding of a monoclonal antibody (DRIP assay) or by enzymatic recognition by RNaseH. Such a structure has been postulated for mouse and human telomeres, clearly suggested by the identification of the complementary RNA Telomeric repeat-containing RNA “TERRA”. However, the tremendous disparity in the information obtained with antibody-based technology drove us to investigate a new strategy. Based on the observation that DNA/RNA hybrids in a triplex complex genome co-purify with the double-stranded chromosomal DNA fraction, we developed a direct preparative approach from total protein-free cellular... 

    Learning of Alternative Splicing from RNA-seq Data

    , M.Sc. Thesis Sharif University of Technology Rashidi Mehrabadi, Farid (Author) ; Rabiee, Hamid Reza (Supervisor) ; Motahari, Abolfazl (Co-Advisor)
    We construct and analyse a computational model that predicts the outcome of alternative splicing by recognizing features in RNA sequences. The computational model can be viewed as a “splicing simulator” for a range of healthy human tissues. It takes as input a pre-mRNA sequence surrounding a possibly alternatively spliced exon and estimates the inclusion level of that exon in mature RNA, after splicing occurs. The model is trained using a supervised machine learning framework where the training examples are the alternatively spliced exons, the feature vectors are derived RNA sequences near these exons, and the targets are their corresponding splicing outcomes in healthy individuals. The... 

    Inferring Signaling Pathways from RNAi Data Using Machine Learning

    , M.Sc. Thesis Sharif University of Technology Mazloomian, Alborz (Author) ; Beigy, Hamid (Supervisor)
    One of the standing problems in Molecular Biology and Bioinformatics is uncovering signaling pathways. Discovering the causes of many cancer-like diseases and developing better treatments for them, requires a better understanding of the behavior of cellular processes. Understanding signaling pathways can help to realize cellular processes. Due to the fast increase of possible signaling pathways when the number of components increases, the problem seems to have an inherent complexity. One of the recent methods for generating data relating to such networks is RNA interference technique. In this thesis we use data which are provided by this method. We propose two methods to infer signaling... 

    Deep feature extraction of single-cell transcriptomes by generative adversarial network

    , Article Bioinformatics ; Volume 37, Issue 10 , 2021 , Pages 1345-1351 ; 13674803 (ISSN) Bahrami, M ; Maitra, M ; Nagy, C ; Turecki, G ; Rabiee, H. R ; Li, Y ; Sharif University of Technology
    Oxford University Press  2021
    Motivation: Single-cell RNA-sequencing (scRNA-seq) offers the opportunity to dissect heterogeneous cellular compositions and interrogate the cell-type-specific gene expression patterns across diverse conditions. However, batch effects such as laboratory conditions and individual-variability hinder their usage in cross-condition designs. Results: Here, we present a single-cell Generative Adversarial Network (scGAN) to simultaneously acquire patterns from raw data while minimizing the confounding effect driven by technical artifacts or other factors inherent to the data. Specifically, scGAN models the data likelihood of the raw scRNA-seq counts by projecting each cell onto a latent embedding.... 

    Atomic scale interactions between RNA and DNA aptamers with the TNF- α protein

    , Article BioMed Research International ; Volume 2021 , 2021 ; 23146133 (ISSN) Asadzadeh, H ; Moosavi, A ; Alexandrakis, G ; Mofrad, M. R. K ; Sharif University of Technology
    Hindawi Limited  2021
    Interest in the design and manufacture of RNA and DNA aptamers as apta-biosensors for the early diagnosis of blood infections and other inflammatory conditions has increased considerably in recent years. The practical utility of these aptamers depends on the detailed knowledge about the putative interactions with their target proteins. Therefore, understanding the aptamer-protein interactions at the atomic scale can offer significant insights into the optimal apta-biosensor design. In this study, we consider one RNA and one DNA aptamer that were previously used as apta-biosensors for detecting the infection biomarker protein TNF-α, as an example of a novel computational workflow for... 

    Analyzing Microarray Data Via Learning DNA Cross Hybridization

    , M.Sc. Thesis Sharif University of Technology Hassani Bidgoli, Mansoor (Author) ; Motahari, Abolfazl (Supervisor) ; Rabiee, Hamid Reza (Co-Advisor)
    Gene expression microarrays include thousands of probes spotted on their surface to measure the expression level of a set of genes. Identifying the amount of a transcript level by hybridization, each probe is complementary to a fragment of a specific gene transcripts. Although probes are designed to avoid crosshybridization to non-specific transcripts, occurrences of cross-hybridizations is inevitable due to massive probes that are spotted on microarrays. The main question is whether these non-specific cross-hybridization have significant effect on the downstream analysis of gene expression microarray datasets. This thesis aims at answering to this question by considering datasets from... 

    Analysis and Design of Single-cell RNA Sequencing Data Normalization Algorithms

    , M.Sc. Thesis Sharif University of Technology Mohseni, Sepideh (Author) ; Hossein Khalaj, Babak (Supervisor)
    Single Cell RNA sequencing (scRNA-seq) data provides more information about gene expression at cellular level. However, because of noise and sparsity that exist in scRNA-seq data, analysis of this data has faced to obstacles. Global normalization approach can not resolve correctly missing data that come from technical variability. So this approach cause emerging incorrect bias and dishonest conclusion about cell type. In this study we review some models for scRNA-seq data imputation,explain a new method for filtering genes and clustering data and use matrix completion algorithm for imputation data