Article
Multidisciplinary Sciences
Shuhui Bian, Yicheng Wang, Yuan Zhou, Wendong Wang, Limei Guo, Lu Wen, Wei Fu, Xin Zhou, Fuchou Tang
Summary: By performing multi-regional sampling and single-cell multiomics sequencing, this study investigated the molecular signatures and heterogeneity of human gastric cancer. The study identified common transcriptomic alterations in gastric cancer cells and discovered the abnormal up-regulation of genes highly expressed in normal colorectal epithelial cells. The single-cell DNA methylome landscape of gastric cancer was characterized, and potential DNA methylation biomarkers were identified. Moreover, the study revealed the relationships between genetic lineages, DNA methylation, and transcriptomic clusters at single-cell level, and demonstrated the associations between differentiation states, DNA methylation, and immune-related pathways in gastric cancer cells.
NATIONAL SCIENCE REVIEW
(2023)
Article
Plant Sciences
Yong Wang, Jialei Ji, Zhiyuan Fang, Limei Yang, Mu Zhuang, Yangyong Zhang, Honghao Lv
Summary: The Brassica oleracea Genome Database (BoGDB) is a platform that integrates multi-omics data for comprehensive research on B. oleracea.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Humberto Contreras-Trujillo, Jiya Eerdeng, Samir Akre, Du Jiang, Jorge Contreras, Basia Gala, Mary C. Vergel-Rodriguez, Yeachan Lee, Aparna Jorapur, Areen Andreasian, Lisa Harton, Charles S. Bramlett, Anna Nogalska, Gang Xiao, Jae-Woong Lee, Lai N. Chan, Markus Muschen, Akil A. Merchant, Rong Lu
Summary: Cellular heterogeneity is a major obstacle in cancer treatment, making it difficult to relate molecular profiles to cancer-cell activities. The integrated experimental system presented in this study links single-cell gene expression to cancer cell growth, metastasis, and treatment response, providing insights into intratumoral heterogeneity and disease progression. DNA barcoding combined with single-cell RNA sequencing is a promising approach for analyzing genetic and phenotypic heterogeneity in cancer.
NATURE COMMUNICATIONS
(2021)
Article
Plant Sciences
Dingding Cao, Wenbin Zhang, Nan Yang, Ziling Li, Chaoyue Zhang, Dan Wang, Guiping Ye, Jianjun Chen, Xiangying Wei
Summary: This study analyzed the responses of Sesuvium portulacastrum to salt stress at morphological, physiological, proteomic, and metabolomic levels. The results showed that signal transduction and phenolic acid metabolism were crucial for S. portulacastrum's salt tolerance. The study also identified the coordinated regulation of Ca2+, ABA, and JA signaling pathways in promoting salt tolerance in S. portulacastrum.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Plant Sciences
Yaping Xiang, Xiaoxiao Wang, Wei Song, Jinfa Du, Xiaojian Yin
Summary: The study found that low concentration of copper ions can promote growth of Salvia miltiorrhiza and the biosynthesis of salvionolic acids. Metabolomics analysis revealed that 160 metabolites were significantly changed in plants treated with low concentration of copper ions, mainly involving amino acid metabolism, pentose phosphate pathway, and carbon fixation in photosynthetic organisms. Transcriptomic analysis showed upregulation of key genes and transcription factors related to SalA biosynthesis, as well as chloroplast proteins-encoding genes, indicating the mechanisms by which copper ions induced the biosynthesis of SalAs.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Plant Sciences
Hong Zhang, Mao-Fa Yang, Qian Zhang, Bin Yan, Yu-Lan Jiang
Summary: In this study, endophytic fungi were isolated from Rosa roxburghii plants and screened for antimicrobial activity. The strain Epicoccum latusicollum HGUP191049 showed excellent antagonistic activity with low minimum inhibitory concentration. Metabolomic analysis revealed that HGUP191049 produced a diverse range of antimicrobial secondary metabolites.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Oncology
Vianney Gilard, Justine Ferey, Florent Marguet, Maxime Fontanilles, Franklin Ducatez, Carine Pilon, Celine Lesueur, Tony Pereira, Carole Basset, Isabelle Schmitz-Afonso, Frederic Di Fiore, Annie Laquerriere, Carlos Afonso, Stephane Derrey, Stephane Marret, Soumeya Bekri, Abdellah Tebani
Summary: This study investigates metabolic remodeling in patients with glioblastoma using targeted and untargeted metabolomics, identifying phospholipids, sphingomyelins, acylcarnitines, and acylglycerols as key impaired metabolic classes. The findings show deep metabolic rewiring in glioblastoma, highlighting the significant role of lipids in tumor progression.
Article
Biochemistry & Molecular Biology
Pei-Gang Liu, Zi-Long Xu, Yan Zhu, Tian-Bao Lin, Zhi-Qiang Lv, Sheng Yang, Jin-Wang Wang, Wen-Jun Hu, Lin Chen, Jia Wei
Summary: In this study, the transcriptomic and metabolomic differences between the staminate flowers and pistillate flowers of mulberry were investigated. The results revealed that differentially expressed genes and metabolites were involved in various pathways, possibly affecting the sex differentiation process in mulberry.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Biophysics
Ji Soo Choi, Dahye Yoon, Kyunghwa Han, Ja Seung Koo, Suhkmann Kim, Min Jung Kim
Summary: This study investigated the impact of tumor cell fraction on metabolic profiles assessed with HR-MAS MRS in breast cancers. The results showed that the variations in tumor cell fraction have limited effects on metabolite levels.
NMR IN BIOMEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Peng Lin, Yi-qun Lin, Rui-zhi Gao, Wei-jun Wan, Yun He, Hong Yang
Summary: This study aims to explore the integration of radiomics and transcriptomics analyses in non-small cell lung cancer (NSCLC) for molecular annotation and risk stratification. Through analysis of radiomics features and pathways enrichment profiles, three radiotranscriptomics subtypes (RTSs) with specific molecular characteristics were identified. The RTS strategy demonstrated significant prognostic value and could effectively stratify NSCLC patients based on prognosis.
EUROPEAN RADIOLOGY
(2023)
Article
Immunology
Songang Wu, Xuewen Li, Fan Hong, Qiang Chen, Yingying Yu, Shuanghui Guo, Yuanyuan Xie, Naian Xiao, Xuwen Kong, Wei Mo, Zhanxiang Wang, Shaoxuan Chen, Feng Zeng
Summary: This study used machine learning-based method to integrate public scRNA-seq datasets and established a comprehensive atlas of immune cells infiltrating in cross-age GBM. The findings showed remarkable differences in immune cell compositions across ages, with a significant increase of extracranial monocyte-derived macrophages (MDMs) in senior patients, which contributes to worse prognosis.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Harold Brayan Arteaga-Arteaga, Mariana S. Candamil-Cortes, Brian Breaux, Pablo Guillen-Rondon, Simon Orozco-Arias, Reinel Tabares-Soto
Summary: Artificial intelligence (AI) is revolutionizing various fields, including tumor research. Using single-cell RNA sequencing, AI algorithms can analyze the cellular and molecular heterogeneity in glioblastoma (GBM) and extract information to understand cancer changes and find effective treatments. In this study, multiple machine learning algorithms were compared to classify cell groups in GBM based on scRNA-seq data, providing insights into genetic characteristics and potential biomarkers. The results showed high accuracy in classifying different cell groups, demonstrating the importance of AI in understanding and treating GBM.
BRIEFINGS IN FUNCTIONAL GENOMICS
(2023)
Article
Biotechnology & Applied Microbiology
Qiuxia Lu, Rui Li, Jiaqing Liao, Yuqin Hu, Yundong Gao, Mingcheng Wang, Jian Li, Qi Zhao
Summary: In this study, non-target metabolomics and transcriptome analysis were performed on Bulbus Fritillariae Cirrhosae (BFC) and Bulbus Fritillariae Thunbergia (BFT). The results showed higher levels of steroidal alkaloids in BFC compared to BFT, and differentially expressed genes potentially involved in alkaloid biosynthesis were identified.
Article
Oncology
Yibin Dai, Ziyu Wang, Yingchao Xia, Jin Li, Yaping Wu, Yanling Wang, Hongbing Jiang, Jie Cheng
Summary: This study defines the intrinsic epithelial subtypes for head and neck squamous cell carcinoma (HNSCC) through integrative analyses of single-cell and bulk RNA sequencing datasets, providing a more effective molecular subtyping approach for this malignancy.
CLINICAL CANCER RESEARCH
(2023)
Article
Genetics & Heredity
Yoonhee Nam, Harim Koo, Yingxi Yang, Sang Shin, Zhihan Zhu, Donggeon Kim, Hee Jin Cho, Quanhua Mu, Seung Won Choi, Jason K. Sa, Yun Jee Seo, Yejin Kim, Kyoungmin Lee, Jeong-Woo Oh, Yong-Jun Kwon, Woong-Yang Park, Doo-Sik Kong, Ho Jun Seol, Jung-Il Lee, Chul-Kee Park, Hye Won Lee, Yeup Yoon, Jiguang Wang
Summary: In this study, we investigated the molecular characteristics associated with temozolomide (TMZ) sensitivity in isocitrate dehydrogenase wild-type (IDH-wt) glioblastoma patients. We developed a machine learning model to predict TMZ response and demonstrated the potential clinical value of this model. Additionally, a webserver was created for public access to the prediction model.
Review
Clinical Neurology
Joshua D. Bernstock, James H. Mooney, Adeel Ilyas, Gustavo Chagoya, Dagoberto Estevez-Ordonez, Ahmed Ibrahim, Ichiro Nakano
JOURNAL OF NEUROSURGERY
(2020)
Article
Oncology
Ryoichi Iwata, Joo Hyoung Lee, Mikio Hayashi, Umberto Dianzani, Kohei Ofune, Masato Maruyama, Souichi Oe, Tomoki Ito, Tetsuo Hashiba, Kunikazu Yoshimura, Masahiro Nonaka, Yosuke Nakano, Lyse Norian, Ichiro Nakano, Akio Asai
Article
Oncology
Maren Cam, Manish Charan, Alessandra M. Welker, Piyush Dravid, Adam W. Studebaker, Jeffrey R. Leonard, Christopher R. Pierson, Ichiro Nakano, Christine E. Beattie, Eugene I. Hwang, Madhuri Kambhampati, Javad Nazarian, Jonathan L. Finlay, Hakan Cam
Article
Clinical Neurology
Daisuke Yamashita, Joshua D. Bernstock, Galal Elsayed, Hirokazu Sadahiro, Ahmed Mohyeldin, Gustavo Chagoya, Adeel Ilyas, James Mooney, Dagoberto Estevez-Ordonez, Shinobu Yamaguchi, Victoria L. Flanary, James R. Hackney, Krishna P. Bhat, Harley I. Kornblum, Nicola Zamboni, Sung-Hak Kim, E. Antonio Chiocca, Ichiro Nakano
Summary: Despite aggressive multimodal therapy, glioblastoma (GBM) still has a poor prognosis due to tumor heterogeneity at the molecular and cellular levels. This study aimed to identify metabolic differences between GBM tumor core cells and edge cells, potentially revealing new therapeutic targets related to tumor metabolism. Comprehensive metabolic analyses on high-grade glioma tissues and glioma-initiating cell culture models showed metabolic heterogeneity, with implications for targeting tyrosine metabolism in GBM, especially in the tumor core region. Activation of the enzyme tyrosine aminotransferase (TAT) within this pathway influenced therapeutic resistance in the GBM core, suggesting selective inhibition of tyrosine metabolism as a promising adjuvant therapy for GBM.
JOURNAL OF NEUROSURGERY
(2021)
Article
Oncology
Daisuke Yamashita, Mutsuko Minata, Ahmed N. Ibrahim, Shinobu Yamaguchi, Vito Coviello, Joshua D. Bernstock, Shuko Harada, Richard A. Cerione, Bakhos A. Tannous, Concettina La Motta, Ichiro Nakano
MOLECULAR CANCER THERAPEUTICS
(2020)
Article
Oncology
Namratha G. Sastry, Xuechao Wan, Tianzhi Huang, Angel A. Alvarez, Rajendra P. Pangeni, Xiao Song, Charles David James, Craig M. Horbinski, Cameron W. Brennan, Ichiro Nakano, Bo Hu, Shi-Yuan Cheng
Review
Oncology
Mina Lobbous, Joshua D. Bernstock, Elizabeth Coffee, Gregory K. Friedman, Laura K. Metrock, Gustavo Chagoya, Galal Elsayed, Ichiro Nakano, James R. Hackney, Bruce R. Korf, Louis B. Nabors
Article
Biochemistry & Molecular Biology
Christian E. Badr, Cintia Carla da Hora, Aleksandar B. Kirov, Elie Tabet, Romain Amante, Semer Maksoud, Antoinette E. Nibbs, Evelyn Fitzsimons, Myriam Boukhali, John W. Chen, Norman H. L. Chiu, Ichiro Nakano, Wilhelm Haas, Ralph Mazitschek, Bakhos A. Tannous
ACS CHEMICAL BIOLOGY
(2020)
Article
Chemistry, Medicinal
Luca Quattrini, Edoardo Luigi Maria Gelardi, Vito Coviello, Stefania Sartini, Davide Maria Ferraris, Mattia Mori, Ichiro Nakano, Silvia Garavaglia, Concettina La Motta
JOURNAL OF MEDICINAL CHEMISTRY
(2020)
Article
Oncology
Shiva Kant, Pravin Kesarwani, Anthony R. Guastella, Praveen Kumar, Stewart F. Graham, Katie L. Buelow, Ichiro Nakano, Prakash Chinnaiyan
MOLECULAR CANCER THERAPEUTICS
(2020)
Article
Cell Biology
Shiva Kant, Pravin Kesarwani, Antony Prabhu, Stewart F. Graham, Katie L. Buelow, Ichiro Nakano, Prakash Chinnaiyan
CELL DEATH & DISEASE
(2020)
Article
Medicine, Research & Experimental
Muayad F. Almahariq, Thomas J. Quinn, Pravin Kesarwani, Shiva Kant, C. Ryan Miller, Prakash Chinnaiyan
Summary: Inhibition of CSF-IR improved the response to radiotherapy in treating GBM by reducing M2 polarization, with the combination of radiotherapy and BLZ-945 leading to the longest survival in mouse models. Ultimately, targeting TAMs through CSF-IR inhibition may enhance the antitumor immune response induced by radiotherapy.
Article
Materials Science, Biomaterials
Markus W. Schweiger, Mao Li, Alberta Giovanazzi, Renata L. Fleming, Elie Tabet, Ichiro Nakano, Thomas Wuerdinger, Ennio Antonio Chiocca, Tian Tian, Bakhos A. Tannous
ADVANCED BIOSYSTEMS
(2020)
Meeting Abstract
Clinical Neurology
Lauren Elana Rotman, Lauren Rotman, Daisuke Yamashita, Galal Elsayed, Gustavo Chagoya, Joshua Bernstock, Adeel Ilyas, James Mooney, Shinobu Yamaguchi, Svetlana Komarova, James Markert, Ichiro Nakano
JOURNAL OF NEUROSURGERY
(2020)