The 3D Revolution in Cancer Discovery DOI Open Access
Linghua Wang, Mingyao Li, Tae Hyun Hwang

et al.

Cancer Discovery, Journal Year: 2024, Volume and Issue: 14(4), P. 625 - 629

Published: April 4, 2024

Summary: The transition from 2D to 3D spatial profiling marks a revolutionary era in cancer research, offering unprecedented potential enhance diagnosis and treatment. This commentary outlines the experimental computational advancements challenges molecular profiling, underscoring innovation needed imaging tools, software, artificial intelligence, machine learning overcome implementation hurdles harness full of analysis field.

Language: Английский

Decoding the tumor microenvironment with spatial technologies DOI
Logan A. Walsh,

Daniela F. Quail

Nature Immunology, Journal Year: 2023, Volume and Issue: 24(12), P. 1982 - 1993

Published: Nov. 27, 2023

Language: Английский

Citations

66

Cell–cell communication: new insights and clinical implications DOI Creative Commons

Jimeng Su,

Ying Song,

Zhipeng Zhu

et al.

Signal Transduction and Targeted Therapy, Journal Year: 2024, Volume and Issue: 9(1)

Published: Aug. 7, 2024

Multicellular organisms are composed of diverse cell types that must coordinate their behaviors through communication. Cell-cell communication (CCC) is essential for growth, development, differentiation, tissue and organ formation, maintenance, physiological regulation. Cells communicate direct contact or at a distance using ligand-receptor interactions. So cellular encompasses two processes: signal conduction generation intercellular transmission signals, transduction reception procession signals. Deciphering networks critical understanding metabolism. First, we comprehensively review the historical milestones in CCC studies, followed by detailed description mechanisms molecule importance main signaling pathways they mediate maintaining biological functions. Then systematically introduce series human diseases caused abnormalities progress clinical applications. Finally, summarize various methods monitoring interactions, including imaging, proximity-based chemical labeling, mechanical force analysis, downstream analysis strategies, single-cell technologies. These aim to illustrate how functions depend on these interactions complexity regulatory regulate crucial processes, homeostasis, immune responses diseases. In addition, this enhances our processes occur after cell-cell binding, highlighting its application discovering new therapeutic targets biomarkers related precision medicine. This collective provides foundation developing targeted drugs personalized treatments.

Language: Английский

Citations

46

Open-ST: High-resolution spatial transcriptomics in 3D DOI

Marie Schott,

Daniel León-Periñán, Elena Splendiani

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(15), P. 3953 - 3972.e26

Published: June 24, 2024

Language: Английский

Citations

38

Spatiotemporal omics for biology and medicine DOI
Longqi Liu, Ao Chen, Yuxiang Li

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(17), P. 4488 - 4519

Published: Aug. 1, 2024

Language: Английский

Citations

30

Decoding the spatiotemporal heterogeneity of tumor-associated macrophages DOI Creative Commons

Xiangyuan Chu,

Yu Tian, Chao Lv

et al.

Molecular Cancer, Journal Year: 2024, Volume and Issue: 23(1)

Published: July 27, 2024

Abstract Tumor-associated macrophages (TAMs) are pivotal in cancer progression, influencing tumor growth, angiogenesis, and immune evasion. This review explores the spatial temporal heterogeneity of TAMs within microenvironment (TME), highlighting their diverse subtypes, origins, functions. Advanced technologies such as single-cell sequencing multi-omics have elucidated intricate interactions between other TME components, revealing mechanisms behind recruitment, polarization, distribution. Key findings demonstrate that support vascularization, promote epithelial-mesenchymal transition (EMT), modulate extracellular matrix (ECM) remodeling, etc., thereby enhancing invasiveness metastasis. Understanding these complex dynamics offers new therapeutic targets for disrupting TAM-mediated pathways overcoming drug resistance. underscores potential targeting to develop innovative therapies, emphasizing need further research into characteristics functional roles TME.

Language: Английский

Citations

28

Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues DOI Creative Commons
Zhiliang Bai, Dingyao Zhang, Yan Gao

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(23), P. 6760 - 6779.e24

Published: Sept. 30, 2024

The capability to spatially explore RNA biology in formalin-fixed paraffin-embedded (FFPE) tissues holds transformative potential for histopathology research. Here, we present pathology-compatible deterministic barcoding tissue (Patho-DBiT) by combining situ polyadenylation and computational innovation spatial whole transcriptome sequencing, tailored probe the diverse species clinically archived FFPE samples. It permits co-profiling of gene expression processing, unveiling region-specific splicing isoforms, high-sensitivity transcriptomic mapping clinical tumor stored 5 years. Furthermore, genome-wide single-nucleotide variants can be captured distinguish malignant subclones from non-malignant cells human lymphomas. Patho-DBiT also maps microRNA regulatory networks dynamics, decoding their roles tumorigenesis. Single-cell level dissects spatiotemporal cellular dynamics driving clonal architecture progression. stands poised as a valuable platform unravel rich aid pathology evaluation.

Language: Английский

Citations

25

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

Yunhan Dai

et al.

Biomarker Research, Journal Year: 2024, Volume and Issue: 12(1)

Published: Sept. 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.

Language: Английский

Citations

23

Understanding the cell: Future views of structural biology DOI Creative Commons
Martin Beck, Roberto Covino, Inga Hänelt

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(3), P. 545 - 562

Published: Feb. 1, 2024

Determining the structure and mechanisms of all individual functional modules cells at high molecular detail has often been seen as equal to understanding how work. Recent technical advances have led a flush high-resolution structures various macromolecular machines, but despite this wealth detailed information, our cellular function remains incomplete. Here, we discuss present-day limitations structural biology highlight novel technologies that may enable us analyze functions directly inside cells. We predict progression toward cell will involve shift conceptualizing 4D virtual reality using digital twins. These capture segments in highly enriched detail, include dynamic changes, facilitate simulations processes, leading experimentally testable predictions. Transferring biological questions into algorithms learn from existing data explore solutions ultimately unveil

Language: Английский

Citations

21

Spatial landscapes of cancers: insights and opportunities DOI
Julia Chen, Ludvig Larsson, Alexander Swarbrick

et al.

Nature Reviews Clinical Oncology, Journal Year: 2024, Volume and Issue: 21(9), P. 660 - 674

Published: July 23, 2024

Language: Английский

Citations

21

Tertiary lymphoid structures in cancer: maturation and induction DOI Creative Commons
Yulu Chen, Yuhao Wu, Guorong Yan

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: April 16, 2024

Tertiary lymphoid structure (TLS) is an ectopic lymphocyte aggregate formed in peripheral non-lymphoid tissues, including inflamed or cancerous tissue. Tumor-associated TLS serves as a prominent center of antigen presentation and adaptive immune activation within the periphery, which has exhibited positive prognostic value various cancers. In recent years, concept maturity regarding been proposed mature TLS, characterized by well-developed germinal centers, exhibits more potent tumor-suppressive capacity with stronger significance. Meanwhile, evidence showed that can be induced therapeutic interventions during cancer treatments. Thus, evaluation induce its formation are critical issues current research. this review, we aim to provide comprehensive summary existing classifications for strategies capable inducing tumors.

Language: Английский

Citations

20