Single-cell technologies: From research to application

Wen, Lu; Li, Guoqiang; Huang, Tao; Wang, Geng; Pei, Hao; Yang, Jialiang; Zhu, Mengting; Zhang, Pengfei; Hou, Rui; Tian, Geng; Su, Wentao; Chen, Jian; Zhang, Dake; Zhu, Pingan; Zhang, Wei; Zhang, Xiuxin; Zhang, Ning; Zhao, Yunlong; Cao, Xin; Peng, Guangdun; Ren, Xianwen; Jiang, Nan; Tian, Caihuan; Chen, Zi‐Jiang

doi:10.1016/j.xinn.2022.100342

Cited by 42 publications

(34 citation statements)

References 221 publications

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“…Through single‐cell dissecting and validation, 116 proteins such as fibroblast activation protein (FAP) and vimentin have been recognised as the markers of CAFs 117 . Borrowing concepts from ICIs, mAb targeting FAP (sibrotuzumab) was developed but failed to elicit treatment response in clinical trials 118 .…”

Section: Infiltration Of Effector Cellsmentioning

confidence: 99%

Enhancing the anticancer immune response with the assistance of drug repurposing and delivery systems

Zhang

Gao

et al. 2023

Clinical & Translational Med

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Background The immune system plays a pivotal role in the initiation, evolution, invasion and metastasis of cancer. Therapeutics aiming at modulating or boosting anticancer immune responses have experienced immense advances during the past decades, for example, anti‐PD‐1/PD‐L1 monoclonal antibodies. Main body Concomitant with advancements in the understanding of novel mechanisms of action, conventional or emerging drugs bearing the potential to be repurposed for enhancing anticancer immunity have been identified. Meanwhile, ongoing advances in drug delivery systems enable us to utilise novel therapeutic strategies and impart drugs with fresh modes of action in tumour immunology. Conclusion Herein, we systemically review these kinds of drugs and delivery systems that can unleash the anticancer response through various aspects, including immune recognition, activation, infiltration and tumour killing. We also discuss the current caveats and future directions of these emerging strategies.

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Section: Infiltration Of Effector Cellsmentioning

confidence: 99%

Enhancing the anticancer immune response with the assistance of drug repurposing and delivery systems

Zhang

Gao

et al. 2023

Clinical & Translational Med

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“…Over the past two decades there have been significant advancements in mesoscopic analysis of the mouse brain. It is currently possible to track single cell neurons in mouse brains, 1 observe whole brain developmental changes on a cellular level, 2 associate brain regions and tissues with their genetic composition, 3 and locally characterize neural connectivity. 4 Much of this scientific achievement has been made possible due to breakthroughs in high resolution imaging techniques that permit submicron, 3-D imaging of whole mouse brains.…”

Section: Introductionmentioning

confidence: 99%

The ANTsX Ecosystem for Mapping the Mouse Brain

Tustison,

Chen,

Kronman

et al. 2024

Preprint

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Precision mapping techniques coupled with high resolution image acquisition of the mouse brain permit the study of the spatial organization of gene expression and their mutual interaction for a comprehensive view of salient structural/functional relationships. Such research is facilitated by standardized anatomical coordinate systems, such as the well-known Allen Common Coordinate Framework (AllenCCFv3), and the ability to spatially map to such standardized spaces. The Advanced Normalization Tools Ecosystem is a comprehensive open-source software toolkit for generalized quantitative imaging with applicability to multiple organ systems, modalities, and animal species. Herein, we illustrate the utility of ANTsX for generating precision spatial mappings of the mouse brain and potential subsequent quantitation. We describe ANTsX-based workflows for mapping domain-specific image data to AllenCCFv3 accounting for common artefacts and other confounds. Novel contributions include ANTsX functionality for velocity flow-based mapping spanning the spatiotemporal domain of a longitudinal trajectory which we apply to the Developmental Common Coordinate Framework. Additionally, we present an automated structural morphological pipeline for determining volumetric and cortical thickness measurements analogous to the well-utilized ANTsX pipeline for human neuroanatomical structural morphology which illustrates a general open-source framework for tailored brain parcellations.

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“… 4 , 5 On the basis of nonlinear dynamical systems theory, the dynamic network biomarker (DNB) method, which uses a group of collectively fluctuated genes during a biological process rather than differentially expressed genes, has been developed to identify the critical states and to predict the leading molecules of the biological processes of disease progression by exploiting the dynamical features of the tipping points obtained from bulk omics data. 4 , 16 , 17 Among the omics data, those from single-cell transcriptomic analyses (single-cell RNA sequencing [scRNA-seq]) 18 , 19 , 20 provide a wealth of unprecedented information for detecting the tipping points and the related leading transcripts. However, the application of sophisticated, dynamics-based methods on single-cell data is limited because of the higher levels of transcript amplification noises and drop-outs than those of RNA sequencing (RNA-seq) performed on bulk cell populations.…”

Section: Introductionmentioning

confidence: 99%