Single-cell technology for studying plant–microbe interactions DOI
Rachid Lahlali, Bekri Xhemali, Touseef Hussain

и другие.

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 89 - 109

Опубликована: Янв. 1, 2025

Язык: Английский

Chloroplast gene expression: Recent advances and perspectives DOI Creative Commons
Yi Zhang, Lin Tian, Congming Lu

и другие.

Plant Communications, Год журнала: 2023, Номер 4(5), С. 100611 - 100611

Опубликована: Май 4, 2023

Chloroplasts evolved from an ancient cyanobacterial endosymbiont more than 1.5 billion years ago. During subsequent coevolution with the nuclear genome, chloroplast genome has remained independent, albeit strongly reduced, its own transcriptional machinery and distinct features, such as chloroplast-specific innovations to gene expression complicated post-transcriptional processing. Light activates of genes via mechanisms that optimize photosynthesis, minimize photodamage, prioritize energy investments. Over past few years, studies have moved stage describing phases explore underlying mechanisms. In this review, we focus on recent advances emerging principles govern in land plants. We discuss PPR protein engineering biotechnological impacts RNA research, new techniques for elucidating molecular expression, some important aspects improving crop yield stress tolerance. also remaining biological mechanistic questions be answered future.

Язык: Английский

Процитировано

41

Circumventing drug resistance in gastric cancer: A spatial multi-omics exploration of chemo and immuno-therapeutic response dynamics DOI

Gang Che,

Jie Yin,

Wankun Wang

и другие.

Drug Resistance Updates, Год журнала: 2024, Номер 74, С. 101080 - 101080

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

16

Single-cell sequencing to multi-omics: technologies and applications DOI Creative Commons
Xiangyu Wu, Xin Yang,

Yunhan Dai

и другие.

Biomarker Research, Год журнала: 2024, Номер 12(1)

Опубликована: Сен. 27, 2024

Abstract Cells, as the fundamental units of life, contain multidimensional spatiotemporal information. Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. Undoubtedly, single-cell transcriptomics has emerged one most vibrant research fields today. With optimization innovation technologies, intricate details concealed within cells are gradually unveiled. The combination scRNA-seq other multi-omics at forefront field. This involves simultaneously measuring various omics data individual cells, expanding our understanding across a broader spectrum dimensions. precisely captures aspects transcriptomes, immune repertoire, spatial information, temporal epitopes, in diverse contexts. In addition to depicting cell atlas normal or diseased tissues, it also provides cornerstone for studying differentiation development patterns, disease heterogeneity, drug resistance mechanisms, treatment strategies. Herein, we review traditional technologies outline latest advancements multi-omics. We summarize current status challenges applying biological clinical applications. Finally, discuss limitations potential strategies address them.

Язык: Английский

Процитировано

15

Single‐cell RNA‐sequencing and spatial transcriptomic analysis reveal a distinct population of APOE cells yielding pathological lymph node metastasis in papillary thyroid cancer DOI Creative Commons

Guohui Xiao,

Rongli Xie,

Jianhua Gu

и другие.

Clinical and Translational Medicine, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Spatially resolved transcriptomic analysis of the germinating barley grain DOI Creative Commons
Marta Peirats‐Llobet, Changyu Yi, Lim Chee Liew

и другие.

Nucleic Acids Research, Год журнала: 2023, Номер 51(15), С. 7798 - 7819

Опубликована: Июнь 23, 2023

Seeds are a vital source of calories for humans and unique stage in the life cycle flowering plants. During seed germination, embryo undergoes major developmental transitions to become seedling. Studying gene expression individual cell types has been challenging due lack spatial information or low throughput existing methods. To overcome these limitations, transcriptomics workflow was developed germinating barley grain. This approach enabled high-throughput analysis expression, revealing specific patterns various functional categories at sub-tissue level. study revealed over 14 000 genes differentially regulated during first 24 h after imbibition. Individual genes, such as aquaporin family, starch degradation, wall modification, transport processes, ribosomal proteins transcription factors, were found have time. Using autocorrelation algorithms, we identified auxin that had increasingly focused within subdomains time, suggesting their role establishing axis. Overall, our provides an unprecedented spatially resolved cellular map germination identifies genomics targets better understand restricted processes germination. The data can be viewed https://spatial.latrobe.edu.au/.

Язык: Английский

Процитировано

25

Multi Omics Applications in Biological Systems DOI Creative Commons
Cristian D. Gutierrez Reyes, Gerardo Alejo‐Jacuinde, Benjamin Perez Sanchez

и другие.

Current Issues in Molecular Biology, Год журнала: 2024, Номер 46(6), С. 5777 - 5793

Опубликована: Июнь 11, 2024

Traditional methodologies often fall short in addressing the complexity of biological systems. In this regard, system biology omics have brought invaluable tools for conducting comprehensive analysis. Current sequencing capabilities revolutionized genetics and genomics studies, as well characterization transcriptional profiling dynamics several species sample types. Biological systems experience complex biochemical processes involving thousands molecules. These occur at different levels that can be studied using mass spectrometry-based (MS-based) analysis, enabling high-throughput proteomics, glycoproteomics, glycomics, metabolomics, lipidomics Here, we present most up-to-date techniques utilized completion Additionally, include some interesting examples applicability multi to a variety

Язык: Английский

Процитировано

12

The role of biotechnology in healthcare: A review of global trends DOI Creative Commons

Evangel Chinyere Anyanwu,

Jeremiah Olawumi Arowoogun,

Ifeoma Pamela Odilibe

и другие.

World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 21(1), С. 2740 - 2752

Опубликована: Янв. 30, 2024

As healthcare systems strive to meet the evolving demands of an ever-changing landscape, biotechnology emerges as a pivotal force driving transformative advancements. This comprehensive review explores multifaceted role in healthcare, examining global trends that underscore its profound impact on diagnostics, treatment modalities, and overall landscape delivery. The study begins by elucidating fundamental principles diverse applications healthcare. From genomics personalized medicine, biotechnological innovations are reshaping understanding diseases, enabling tailored interventions based individual genetic profiles. delves into burgeoning field precision where tools empower clinicians deliver targeted therapies, optimize outcomes, minimize adverse effects. integration platforms including advanced imaging techniques liquid biopsies, is transforming early detection monitoring ushering era proactive Moreover, characterized collaborative research initiatives cross-disciplinary partnerships. interconnectedness with artificial intelligence data analytics explored, highlighting synergistic potential unlocking intricate patterns within vast datasets inform more precise effective strategies. accelerates development novel therapeutics, gene cell addresses ethical considerations, regulatory frameworks, accessibility challenges. It critically analyzes disparities adoption advancements across systems, emphasizing need for equitable access ensure benefits reach populations worldwide. In conclusion, elucidates extends beyond scientific breakthroughs encompass paradigm shift. By continents, it underscores power fostering new precision, innovation, unwavering commitment improving patient outcomes scale.

Язык: Английский

Процитировано

9

Artificial intelligence for medicine 2025: Navigating the endless frontier DOI
Jiyan Dai, Huiyu Xu, Tao Chen

и другие.

The Innovation Medicine, Год журнала: 2025, Номер unknown, С. 100120 - 100120

Опубликована: Янв. 1, 2025

<p>Artificial intelligence (AI) is driving transformative changes in the field of medicine, with its successful application relying on accurate data and rigorous quality standards. By integrating clinical information, pathology, medical imaging, physiological signals, omics data, AI significantly enhances precision research into disease mechanisms patient prognoses. technologies also demonstrate exceptional potential drug development, surgical automation, brain-computer interface (BCI) research. Through simulation biological systems prediction intervention outcomes, enables researchers to rapidly translate innovations practical applications. While challenges such as computational demands, software ethical considerations persist, future remains highly promising. plays a pivotal role addressing societal issues like low birth rates aging populations. can contribute mitigating rate through enhanced ovarian reserve evaluation, menopause forecasting, optimization Assisted Reproductive Technologies (ART), sperm analysis selection, endometrial receptivity fertility remote consultations. In posed by an population, facilitate development dementia models, cognitive health monitoring strategies, early screening systems, AI-driven telemedicine platforms, intelligent smart companion robots, environments for aging-in-place. profoundly shapes medicine.</p>

Язык: Английский

Процитировано

1

Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology DOI Open Access

Ana Ortega-Batista,

Yanelys Jaén-Alvarado, Dilan Moreno-Labrador

и другие.

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(5), С. 2074 - 2074

Опубликована: Фев. 27, 2025

This article reviews the impact of single-cell sequencing (SCS) on cancer biology research. SCS has revolutionized our understanding and tumor heterogeneity, clonal evolution, complex interplay between cells microenvironment. provides high-resolution profiling individual in genomic, transcriptomic, epigenomic landscapes, facilitating detection rare mutations, characterization cellular diversity, integration molecular data with phenotypic traits. The multi-omics provided a multidimensional view states regulatory mechanisms cancer, uncovering novel therapeutic targets. Advances computational tools, artificial intelligence (AI), machine learning have been crucial interpreting vast amounts generated, leading to identification new biomarkers development predictive models for patient stratification. Furthermore, there emerging technologies such as spatial transcriptomics situ sequencing, which promise further enhance microenvironment organization interactions. As its related continue advance, they are expected drive significant advances personalized diagnostics, prognosis, therapy, ultimately improving outcomes era precision oncology.

Язык: Английский

Процитировано

1

Epigenetic and transcription factors synergistically promote the high temperature response in plants DOI Open Access

Jiaping Zhu,

Xiaofeng Cao, Xian Deng

и другие.

Trends in Biochemical Sciences, Год журнала: 2023, Номер 48(9), С. 788 - 800

Опубликована: Июнь 29, 2023

Язык: Английский

Процитировано

21