A spatial transcriptome map of the developing maize ear DOI
Yuebin Wang, Yun Luo, Xing Guo

и другие.

Nature Plants, Год журнала: 2024, Номер 10(5), С. 815 - 827

Опубликована: Май 14, 2024

Язык: Английский

The emerging landscape of spatial profiling technologies DOI
Jeffrey R. Moffitt, Emma Lundberg, Holger Heyn

и другие.

Nature Reviews Genetics, Год журнала: 2022, Номер 23(12), С. 741 - 759

Опубликована: Июль 20, 2022

Язык: Английский

Процитировано

277

An invasive zone in human liver cancer identified by Stereo-seq promotes hepatocyte–tumor cell crosstalk, local immunosuppression and tumor progression DOI Creative Commons
Liang Wu, Jiayan Yan, Yinqi Bai

и другие.

Cell Research, Год журнала: 2023, Номер 33(8), С. 585 - 603

Опубликована: Июнь 19, 2023

Abstract Dissecting and understanding the cancer ecosystem, especially that around tumor margins, which have strong implications for cell infiltration invasion, are essential exploring mechanisms of metastasis developing effective new treatments. Using a novel border scanning digitization model enabled by nanoscale resolution-SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), we identified 500 µm-wide zone centered in patients with liver cancer, referred to as “the invasive zone”. We detected immunosuppression, metabolic reprogramming, severely damaged hepatocytes this zone. also subpopulation increased expression serum amyloid A1 A2 (referred collectively SAAs) located close on paratumor side. Overexpression CXCL6 adjacent malignant cells could induce activation JAK-STAT3 pathway nearby hepatocytes, subsequently caused SAAs’ overexpression these hepatocytes. Furthermore, secretion SAAs lead recruitment macrophages M2 polarization, further promoting local potentially resulting progression. Clinical association analysis additional five independent cohorts primary secondary ( n = 423) showed had worse prognosis. Further vivo experiments using mouse models situ confirmed knockdown genes encoding decreased macrophage accumulation delayed growth. The identification characterization human not only add an important layer regarding invasion metastasis, but may pave way therapeutic strategies advanced other solid tumors.

Язык: Английский

Процитировано

104

Single-cell technologies: From research to application DOI
Lu Wen, Guoqiang Li, Tao Huang

и другие.

The Innovation, Год журнала: 2022, Номер 3(6), С. 100342 - 100342

Опубликована: Окт. 18, 2022

Язык: Английский

Процитировано

87

Integrated single-nucleus and spatial transcriptomics captures transitional states in soybean nodule maturation DOI
Zhijian Liu,

Xiangying Kong,

Yanping Long

и другие.

Nature Plants, Год журнала: 2023, Номер 9(4), С. 515 - 524

Опубликована: Апрель 13, 2023

Язык: Английский

Процитировано

82

Single‐cell RNA‐seq reveals fate determination control of an individual fibre cell initiation in cotton (Gossypium hirsutum) DOI
Yuan Qin, Mengling Sun, Weiwen Li

и другие.

Plant Biotechnology Journal, Год журнала: 2022, Номер 20(12), С. 2372 - 2388

Опубликована: Авг. 29, 2022

Summary Cotton fibre is a unicellular seed trichome, and lint initials per as factor determines yield. However, the mechanisms controlling initiation from ovule epidermis are not understood well enough. Here, with single‐cell RNA sequencing (scRNA‐seq), total of 14 535 cells were identified cotton outer integument Xu142_LF line at four developmental stages (1.5, 1, 0.5 days before anthesis day anthesis). Three major cell types, fibre, non‐fibre pigment layer then verified by in situ hybridization. A comparative analysis on scRNA‐seq data between Xu142 its fibreless mutant fl further confirmed cluster definition. The trajectory was reconstructed, differentiated 1 anthesis. Gene regulatory networks revealed spatiotemporal pattern core transcription factors, MYB25‐like HOX3 demonstrated played key roles commanders differentiation tip‐biased diffuse growth respectively. model for early development single proposed here, which sheds light deciphering mechanism plant trichome improvement

Язык: Английский

Процитировано

79

Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges DOI Creative Commons

Mengnan Cheng,

Yujia Jiang, Jiangshan Xu

и другие.

Journal of genetics and genomics/Journal of Genetics and Genomics, Год журнала: 2023, Номер 50(9), С. 625 - 640

Опубликована: Март 27, 2023

The ability to explore life kingdoms is largely driven by innovations and breakthroughs in technology, from the invention of microscope 350 years ago recent emergence single-cell sequencing, which scientific community has been able visualize at an unprecedented resolution. Most recently, Spatially Resolved Transcriptomics (SRT) technologies have filled gap probing spatial or even three-dimensional organization molecular foundation behind mysteries life, including origin different cellular populations developed totipotent cells human diseases. In this review, we introduce progress challenges on SRT perspectives bioinformatic tools, as well representative applications. With currently fast-moving promising results early adopted research projects, can foresee bright future such new tools understanding most profound analytical level.

Язык: Английский

Процитировано

75

STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization DOI Creative Commons
Zhicheng Xu, Weiwen Wang, Tao Yang

и другие.

Nucleic Acids Research, Год журнала: 2023, Номер 52(D1), С. D1053 - D1061

Опубликована: Ноя. 11, 2023

Abstract Recent technological developments in spatial transcriptomics allow researchers to measure gene expression of cells and their locations at the single-cell level, generating detailed biological insight into processes. A comprehensive database could facilitate sharing transcriptomic data streamline acquisition process for researchers. Here, we present Spatial TranscriptOmics DataBase (STOmicsDB), a that serves as one-stop hub transcriptomics. STOmicsDB integrates 218 manually curated datasets representing 17 species. We annotated cell types, identified regions genes, performed cell-cell interaction analysis these datasets. features user-friendly interface rapid visualization millions cells. To further reusability interoperability data, developed standards archiving constructed system. Additionally, offer distinctive capability customizing dedicated sub-databases researchers, assisting them visualizing analyses. believe contribute research insights field, including archiving, sharing, analysis. is freely accessible https://db.cngb.org/stomics/.

Язык: Английский

Процитировано

59

Multiplexed single-cell 3D spatial gene expression analysis in plant tissue using PHYTOMap DOI Creative Commons
Tatsuya Nobori, Marina Oliva, Ryan Lister

и другие.

Nature Plants, Год журнала: 2023, Номер 9(7), С. 1026 - 1033

Опубликована: Июнь 12, 2023

Abstract Retrieving the complex responses of individual cells in native three-dimensional tissue context is crucial for a complete understanding functions. Here, we present PHYTOMap (plant hybridization-based targeted observation gene expression map), multiplexed fluorescence situ hybridization method that enables single-cell and spatial analysis whole-mount plant transgene-free manner at low cost. We applied to simultaneously analyse 28 cell-type marker genes Arabidopsis roots successfully identified major cell types, demonstrating our can substantially accelerate mapping defined RNA-sequencing datasets tissue.

Язык: Английский

Процитировано

56

Mapping cells through time and space with moscot DOI Creative Commons
Dominik Klein, Giovanni Palla, Marius Lange

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Май 11, 2023

Abstract Single-cell genomics technologies enable multimodal profiling of millions cells across temporal and spatial dimensions. Experimental limitations prevent the measurement all-encompassing cellular states in their native dynamics or tissue niche. Optimal transport theory has emerged as a powerful tool to overcome such constraints, enabling recovery original context. However, most algorithmic implementations currently available have not kept up pace with increasing dataset complexity, so that current methods are unable incorporate information scale single-cell atlases. Here, we introduce multi-omics optimal (moscot), general scalable framework for applications genomics, supporting multimodality all applications. We demonstrate moscot’s ability efficiently reconstruct developmental trajectories 1.7 million mouse embryos 20 time points identify driver genes first heart field formation. The moscot formulation can be used dimensions well: To this, enrich transcriptomics datasets by mapping from profiles liver sample, align multiple coronal sections brain. then present moscot.spatiotemporal, new approach leverages gene expression uncover spatiotemporal embryogenesis. Finally, disentangle lineage relationships novel murine, time-resolved pancreas development using paired measurements chromatin accessibility, finding evidence shared ancestry between delta epsilon cells. Moscot is an easy-to-use, open-source python package extensive documentation at https://moscot-tools.org .

Язык: Английский

Процитировано

52

Spatial transcriptomics reveals light-induced chlorenchyma cells involved in promoting shoot regeneration in tomato callus DOI Creative Commons

Xiehai Song,

Pengru Guo, Keke Xia

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(38)

Опубликована: Сен. 13, 2023

Callus is a reprogrammed cell mass involved in plant regeneration and gene transformation crop engineering. Pluripotent callus cells develop into fertile shoots through shoot regeneration. The molecular basis of the process remains largely elusive. This study pioneers exploration spatial transcriptome tomato during findings reveal presence highly heterogeneous populations within callus, including epidermis, vascular tissue, primordia, inner outgrowth shoots. By characterizing spatially resolved features primordia surrounding cells, specific factors essential for formation are identified. Notably, chlorenchyma enriched photosynthesis-related processes, play crucial role promoting subsequent Light shown to promote by inducing development coordinating sugar signaling. These significantly advance our understanding cellular aspects demonstrate immense potential transcriptomics biology.

Язык: Английский

Процитировано

51