Review
Biochemistry & Molecular Biology
Shane A. Carrion, Jennifer J. Michal, Zhihua Jiang
Summary: Since its discovery, genomic imprinting has been extensively studied in terms of establishment, regulation, evolution, and function. Imprinting disturbance has been linked to various diseases. However, studies on the prevalence and relevance of imprinting have been limited by availability and resources, resulting in a gap in comparative studies. This study gathered imprinted genes from different species and identified trends and patterns in evolutionary conservation, tissue expression, and health phenomics. Imprinted genes showed distinct characteristics compared to sex differentiation genes, including less conservation, higher proportions of non-coding RNA, and preference for tissue-specific expression and limited gene pathways.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2023)
Article
Biotechnology & Applied Microbiology
Kun Wang, Liangzhen Hou, Xin Wang, Xiangwei Zhai, Zhaolian Lu, Zhike Zi, Weiwei Zhai, Xionglei He, Christina Curtis, Da Zhou, Zheng Hu
Summary: PhyloVelo is a computational framework that accurately estimates the velocity of transcriptomic dynamics by using monotonically expressed genes or genes with specific expression patterns. It integrates scRNA-seq data with lineage information to identify key genes and reconstruct the transcriptomic velocity field. PhyloVelo has been validated using simulated and real datasets, and has shown high accuracy and robustness in inferring complex lineage trajectories.
NATURE BIOTECHNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Xiaoyang Gao, Qixuan Su, Jing Li, Wenjing Yang, Baolin Yao, Jiawei Guo, Shengying Li, Changning Liu
Summary: This study analyzed tissue samples of P. polyphylla var. yunnanensis using high-performance liquid chromatography and RNA sequencing. The results showed dynamic changes in polyphyllin concentrations across developmental stages and revealed a close relationship between spatial-temporal gene expression patterns and polyphyllin biosynthesis in different tissues. Furthermore, the study identified 137 candidate genes involved in the upstream pathway of polyphyllin biosynthesis and 74 transcription factor genes and one transporter gene associated with polyphyllin biosynthesis and allocation.
Article
Plant Sciences
Tao Yan, Meng Sun, Rui Su, Xiaozhong Wang, Xuedan Lu, Yunhua Xiao, Huabing Deng, Xiong Liu, Wenbang Tang, Guilian Zhang
Summary: Cold stress has a significant impact on the growth and development of rice, particularly the susceptible indica cultivar. This study identified genes and transcription factors associated with cold responsiveness in indica rice and revealed the molecular mechanisms underlying cold responses, providing important insights for enhancing cold tolerance in susceptible varieties.
Article
Multidisciplinary Sciences
Dafu Chen, Ben Wan, Yuning Cheng, Yuwen Luo, Xueshan Bai, Jianxun Guo, Guangping Li, Tao Jin, Jingjun Nie, Weifeng Liu, Renxian Wang
Summary: In this study, the prognostic potential and therapeutic target of the carboxypeptidase E (CPE) gene in osteosarcoma (OS) were investigated. The differential genes and pathways associated with OS were identified, and CPE was found to be an independent risk factor for poor prognosis in OS. The co-expression of CPE with osteoblast lineage cell clusters expressing marker genes suggests its importance in osteoblastic OS.
Article
Biochemistry & Molecular Biology
Renan T. Pinto, Thiago B. Cardoso, Luciano Paiva, Vagner A. Benedito
Summary: This study analyzed the transportome of Coffea canephora and identified potential transporters involved in the accumulation of specialized metabolites, providing insights for genetic breeding strategies. Through comprehensive co-expression analysis, the study revealed key transporters associated with beverage quality and bioactivity attributes. Overall, the research suggests possibilities for genetic and transcriptomic data mining in Coffea for developing resilient varieties in sustainable coffee production systems.
Article
Neurosciences
Xue Zhang, Yingying Xie, Jie Tang, Wen Qin, Feng Liu, Hao Ding, Yuan Ji, Bingbing Yang, Peng Zhang, Wei Li, Zhaoxiang Ye, Chunshui Yu
Summary: The study identified 125 connectivity-related genes, including 20 novel genes, enriched for dendrite extension, signaling pathway, and schizophrenia; 51 genes were associated with connectivity in all brain functional networks, while 51 genes showed network-specific modulatory effects, indicating different biological functions are involved in connectivity modulation of different networks.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Cell Biology
Fei Yuan, Xiaoyu Cao, Yu-Hang Zhang, Lei Chen, Tao Huang, ZhanDong Li, Yu-Dong Cai
Summary: This study conducted a computational investigation on lung cancer driver genes, involving four omics levels. Through a screening process and intersection operation, novel driver genes involving two omics levels were identified, which were found to be associated with the fundamental pathological mechanisms of lung cancer.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Biochemical Research Methods
Chun-Jing Si, Si-Min Deng, Yuan Quan, Hong-Yu Zhang
Summary: This study prioritized functional genes for complex phenotypes using PPI network-based systems genetics methods, proposing a hybrid model which significantly improved the efficiency of functional gene enrichment. The research is of great importance for functional genomics in plants.
CURRENT BIOINFORMATICS
(2022)
Article
Infectious Diseases
Xianghe Yan, Yanping Xie, Charles Li, David M. Donovan, Andrew Gehring, Peter Irwin, Yiping He
Summary: Comparative transcriptome analysis and de novo short-read assembly of S. aureus Newman strains revealed significant transcriptional changes in response to exposure to triple-acting staphylolytic peptidoglycan hydrolase (PGH) 1801. The differential gene expressions were associated with membrane, cell wall, and related genes, and some of these changes corresponded to observed structural perturbations at the DNA and RNA levels. These findings provide valuable insights into the design of new antimicrobial agents.
Article
Agronomy
Muhammad-Redha Abdullah-Zawawi, Lay-Wen Tan, Zuraida Ab Rahman, Ismanizan Ismail, Zamri Zainal
Summary: The auxin receptor plays a significant role in the plant auxin signalling pathway in response to abiotic stress. Through a microarray study on transgenic rice overexpressing ABP57, researchers identified 12 modules of highly related genes that are involved in specific responses to drought or other abiotic stress types. Gene set enrichment analysis highlighted modules related to transmembrane transport of metal ions and response to oxidative stress as being highly upregulated. The integration of co-expression information with physical interaction data identified 123 hub genes. Additionally, the interplay between the metabolism pathways of chlorophyll and flavonoid and the signalling pathways of MAPK, IAA, and SA suggested their concurrent involvement in stress tolerance response.
Article
Genetics & Heredity
Hengxing Ba, Min Chen, Chunyi Li
Summary: Antlers are an interesting model for basic research in regenerative biology. This study utilized genome and transcriptome data from four deer species to identify genes related to antler development. The results showed that the expression pattern of genes in the antlerogenic periosteum (AP) matched the antler phenotypes, suggesting their relevance in antler development. Upregulated genes in three-antlered deer were shown to be co-expressed and highly conserved, indicating their role in growth and antler development. In contrast, upregulated genes in antler-less deer were mainly involved in organismal death and growth failure, likely related to the loss of antlers during evolution. Overall, this study demonstrates the regulation of antler development by co-expressed genes in antlered deer.
FRONTIERS IN GENETICS
(2022)
Article
Biochemistry & Molecular Biology
Imad Abugessaisa, Jordan A. Ramilowski, Marina Lizio, Jesicca Severin, Akira Hasegawa, Jayson Harshbarger, Atsushi Kondo, Shuhei Noguchi, Chi Wai Yip, Jasmine Li Ching Ooi, Michihira Tagami, Fumi Hori, Saumya Agrawal, Chung Chau Hon, Melissa Cardon, Shuya Ikeda, Hiromasa Ono, Hidemasa Bono, Masaki Kato, Kosuke Hashimoto, Alessandro Bonetti, Norio Kobayashi, Jay Shin, Michiel de Hoon, Yoshihide Hayashizakil, Piero Carninci, Hideya Kawaji, Takeya Kasukawa
Summary: The FANTOM Consortium has been dedicated to understanding the transcriptome and transcriptional regulation of mammalian genomes for the past 20 years, focusing on creating new non-coding RNA datasets and resources. The latest edition, FANTOM6, has contributed a large dataset from knock-down experiments of 285 IncRNAs in human dermal fibroblasts, along with updated miRNA and promoter atlases for human, mouse, and chicken genomes. Updated FANTOM resources are publicly available for enhanced accessibility.
NUCLEIC ACIDS RESEARCH
(2021)
Article
Microbiology
Yuqing Chen, Chuan Wang, Jing Mi, Zhou Zhou, Jianye Wang, Manjuan Tang, Jian Yu, Anyuan Liu, Yimou Wu
Summary: Research indicates that C. psittaci persistence state results in the upregulation and downregulation of multiple genes, which may help understand survival advantages during persistent infection and mechanisms influencing C. psittaci pathogenesis or evasion of the adaptive immune response.
VETERINARY MICROBIOLOGY
(2021)
Article
Biotechnology & Applied Microbiology
Xin Chu, Boxin Guan, Lingyun Dai, Jin-xing Liu, Feng Li, Junliang Shang
Summary: Comprehensive analysis of multiple data sets is important for identifying potential driver genes in different cancers. In this study, a network embedding framework is proposed to combine functional and structural information for driver gene identification. By constructing a mutation integration network and extracting gene features using the struc2vec model, our method outperforms previous methods in identifying driver genes for 12 cancers in the cancer genome atlas.
Article
Biochemical Research Methods
Mahnaz Habibi, Pegah Khosravi
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2020)
Article
Medicine, Research & Experimental
Ghazale Fahimian, Javad Zahiri, Seyed Shahriar Arab, Reza H. Sajedi
JOURNAL OF TRANSLATIONAL MEDICINE
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
Pegah Khosravi, Maria Lysandrou, Mahmoud Eljalby, Qianzi Li, Ehsan Kazemi, Pantelis Zisimopoulos, Alexandros Sigaras, Matthew Brendel, Josue Barnes, Camir Ricketts, Dmitry Meleshko, Andy Yat, Timothy D. McClure, Brian D. Robinson, Andrea Sboner, Olivier Elemento, Bilal Chughtai, Iman Hajirasouliha
Summary: The study developed an artificial intelligence (AI)-based model (AI-biopsy) for early diagnosis of prostate cancer using MR images, achieving high accuracy in distinguishing between benign and cancerous tumors, as well as high- and low-risk tumors. The AI-biopsy provided a data-driven and reproducible method for assessing cancer risk and potentially reducing unnecessary biopsies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Multidisciplinary Sciences
Leila Sadeghi, Albert Anatolyevich Rizvanov, Bahareh Dabirmanesh, Ilnur Ildusovich Salafutdinov, Mohammad Sayyah, Amir Shojaei, Javad Zahiri, Javad Mirnajafi-Zadeh, Babak Khorsand, Khosro Khajeh, Yaghoub Fathollahi
Summary: Proteomic profiling of the rat hippocampus identified 144 differently expressed proteins in epilepsy models, most of which were associated with Ca2+ homeostasis. Inhibition of calcium influx by targeting ADPRC and LPAR3 attenuated epileptic seizures, suggesting polypharmacy with multiple targets as a potential treatment strategy for epilepsy.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Zhuoran Xu, Akanksha Verma, Uska Naveed, Samuel F. Bakhoum, Pegah Khosravi, Olivier Elemento
Summary: The study demonstrates that the use of deep learning models can accurately predict chromosomal instability (CIN) status in breast cancer patients through hematoxylin and eosin histology, highlighting the presence of intra-tumor heterogeneity within slides.
Article
Medicine, General & Internal
Matthew Brendel, Vanesa Getseva, Majd Al Assaad, Michael Sigouros, Alexandros Sigaras, Troy Kane, Pegah Khosravi, Juan Miguel Mosquera, Olivier Elemento, Iman Hajirasouliha
Summary: In this study, a weakly-supervised purity (wsPurity) approach was proposed to accurately quantify tumor purity within a digitally captured histological slide. The model demonstrated high accuracy in predicting cancer type and showed promising generalizability to unseen data from an external cohort. The approach also identified high resolution tumor regions within a slide and could stratify tumors into high and low purity.
Article
Pharmacology & Pharmacy
Aref Shiralipour, Babak Khorsand, Leila Jafari, Mohammad Salehi, Mahsa Kazemi, Javad Zahiri, Vahid Jajarmi, Bahram Kazemi
Summary: This study analyzed the problem of drug resistance in breast cancer using computational and systems biology approaches. Six key lysosome-related genes were identified as potential therapeutic targets for drug-resistant breast cancer.
IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Aria Jahanimoghadam, Hadis Abdolahzadeh, Niloofar Khoshdel Rad, Javad Zahiri
Summary: This study aimed to identify common signatures between COVID-19 and Parkinson's disease (PD) through transcriptome analysis and found 81 common differentially expressed genes (DEGs). The functional analysis of these DEGs revealed their involvement in various pathways related to PD. Protein-protein interaction network analysis identified 10 hub genes associated with molecular mechanisms such as inflammation and microglia activation. Transcription factors and miRNAs regulating these hub genes were also investigated. The study provides important insights into the possible mechanisms linking COVID-19 and PD.
JOURNAL OF MOLECULAR NEUROSCIENCE
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Pegah Khosravi
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Meeting Abstract
Medicine, Research & Experimental
Canan Firat, Karissa Whiting, Armaan Kohli, Pegah Khosravi, Julio Garcia-Aguilar, Mithat Gonen, Jinru Shia
LABORATORY INVESTIGATION
(2023)
Meeting Abstract
Oncology
Doori Rose, Andrew Aukerman, Druv Patel, Arfath Pasha, Armaan Kohli, Ignacio Vazquez-Garcia, Kevin Boehm, Rami Vanguri, Matthew Shabet, Vassiliki Mancoridis, Elizabeth Zakszewski, Benjamin Gross, Christopher Fong, Pegah Khosravi, Sohrab Shah, JianJiong Gao
Meeting Abstract
Oncology
Pegah Khosravi, Elizabeth J. Sutton, Justin Jee, Timothy Dalfonso, Christopher J. Fong, Doori Rose, Edaise M. Da Silva, Armaan Kohli, David Joon Ho, Mehnaj S. Ahmed, Danny Martinez, Anika Begum, Elizabeth Zakszewski, Andrew Aukerman, Yanis Tazi, Katja Pinker-Domenig, Sarah Eskreis-Winkler, Atif J. Khan, Edi Brogi, Elizabeth Morris, Sarat Chandarlapaty, George Plitas, Simon Powell, Monica Morrow, Larry Norton, Jianjiong Gao, Mark Robson, Hong Zhang, Sohrab Shah, Pedram Razavi
Article
Biochemical Research Methods
Alireza Mohammadi, Javad Zahiri, Saber Mohammadi, Mohsen Khodarahmi, Seyed Shahriar Arab
Summary: Position-specific scoring matrix (PSSM), also known as profile, is widely used for representing the evolutionary history of a protein sequence and improving protein attribute predictions. PSSMCOOL is a flexible and comprehensive R package that provides the first PSSM-based feature extraction tool in R.
BIOLOGY METHODS & PROTOCOLS
(2022)
Review
Oncology
Kevin M. Boehm, Pegah Khosravi, Rami Vanguri, Jianjiong Gao, Sohrab P. Shah
Summary: Advancements in quantitative biomarker development have accelerated insights for cancer patients, but integrated approaches across modalities remain underdeveloped. To succeed, efforts in data engineering, computational methods for heterogeneous data analysis, and instantiation of synergistic data models in biomedical research are necessary.
NATURE REVIEWS CANCER
(2022)
Review
Mathematical & Computational Biology
Shahin Ramazi, Javad Zahiri
Summary: Posttranslational modifications (PTMs) involve modifications to amino acid side chains in proteins after biosynthesis, affecting various aspects of protein functions. Disruptions in PTMs can lead to diseases, emphasizing the need for computational methods to predict PTMs. High-throughput experimental methods for PTM discovery are laborious, prompting the exploration of computational tools and databases to advance research in this area.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2021)