Heterogeneous Cell Technology
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Current cell processing technologies for gene and cell therapies are often slow, expensive, labor intensive and are compromised by high cell losses and poor selectivity thus limiting the efficacy and availability of clinical cell therapies. We …
All-in-one processing of heterogeneous human cell …
Current cell processing technologies for gene and cell therapies are often slow, expensive, labor intensive and are compromised by high cell losses and poor selectivity thus limiting the efficacy and availability of clinical cell therapies. We …
Single cell technologies for monitoring protein secretion …
While single cell technologies have significantly enhanced our understanding of population heterogeneity, the predominant focus has been on monitoring intracellular …
Exploring the metastasis-related biomarker and
Exploring the metastasis-related biomarker and carcinogenic mechanism in liver cancer based on single cell technology. Qiuxiang Zheng a,1 ∙ Cuiping Lu a,1 ∙ Lian Yu b [email protected] ∙ Ying Zhan a [email protected] ∙ …
Single-cell transcriptomics: background, technologies, …
Single-cell sequencing was developed as a high-throughput tool to elucidate unusual and transient cell states that are barely visible in the bulk. This technology reveals the evolutionary status of cells and differences between populations, helps to identify unique cell subtypes and states, reveals regulatory relationships between genes, targets and molecular mechanisms in …
Single-cell technologies: From research to application
More improvements are needed to accelerate research in the single-cell field, such as more multifunctional single-cell manipulation capabilities and more computational tools to identify single-cell heterogeneity. The introduction of …
Dissecting heterogeneous cell-populations across signaling
All physiological processes in the body are driven by heterogeneous populations of single cells [1, 2, 3]. Single-cell measurement technologies can now profile gene expression in thousands of cells from heterogeneous cell populations across different tissues, physiological conditions, and disease states. However, converting single cell data ...
Single Cell Transcriptomics to Understand HSC Heterogeneity …
Single-cell transcriptomic technologies enable the uncovering and characterization of cellular heterogeneity and pave the way for studies aiming at …
Single-cell RNA sequencing to explore immune cell heterogeneity …
single‑cell technologies and discuss their strengths and limitations (BOX 1). We also explore ways in which these approaches can deepen our understanding of immunological responses and disease ...
Single B cell technologies for monoclonal antibody discovery
Monoclonal antibodies (mAbs) are often selected from antigen-specific single B cells derived from different hosts, which are notably short-lived in ex vivo culture conditions and hence, arduous to interrogate. The development of several new techniques and protocols has facilitated the isolation and retrieval of antibody-coding sequences of antigen-specific B cells by …
Exploring the heterogeneous targets of metabolic aging at single-cell ...
The past decade has witnessed significant advancements in our understanding of metabolic aging, largely propelled by the emergence of single-cell technologies [4,5].Traditionally, studies of metabolic aging have relied on bulk tissue analyses, which have obscured the diverse metabolic profiles exhibited by individual cells within a population.
Simple Fabrication of Multicomponent Heterogeneous Fibers for Cell …
kinds of cells, such as the human non-small cell lung cancer cell NCI-H1650, the human fetal lung fibroblast HFL1, the normal pulmonary bronchial epithelial cell 16HBE, and human umbilical vein endothelial cells. By adding chitosan to the medium to keep the fibers stable, 3D long-term in vitro cell co-culture has been carried out up to 21 days ...
heterogeneous growing cell populations
Individual-based and continuum models of phenotypically heterogeneous growing cell populations Fiona R Macfarlane1 ;, Xinran Ruan2, Tommaso Lorenzi3 1 School of Mathematics and Statistics, University of St Andrews, United Kingdom; 2 School of Mathematical Sciences, Capital Normal University, 100048 Beijing, P.R. China; 3 Department of Mathematical Sciences …
Cellular Heterogeneity: Do Differences Make a Difference?
Single-cell phenotypes can be captured by many different measurement technologies (Figure 1Bi) (Anselmetti, 2009), including flow cytometry, electrophysiology, microscopy, and single-cell PCR or sequencing. For some technologies, the choices of cellular features are well defined, whereas for others the choices are less clear. For example, the ...
Single-Cell Phenotyping of Complex Heterogeneous Tissue
Until then, RISH allows for cell phenotyping in a heterogeneous cell population with single-cell resolution by analyzing key transcripts and identifying synthetically active cells. This could point to those cells capable of responding to stimulative regenerative treatment. Complementing RISH with analysis of cell motility could create a robust approach to …
Heterogeneous Cell-Free MIMO Green Communication Network
A heterogeneous cell-free multiple-input multiple-output （MIMO） system is one of the development directions of future mobile networks, as it is an efficient communication system with great energy saving potential. This paper first introduces the overall architecture of heterogeneous cell-free MIMO systems； then analyzes the specific architecture and energy …
Single B cell technologies for monoclonal antibody discovery
are a heterogeneous and undefined mixture of mAbs [1,2]. mAbs are broadly used as highly specific diagnostic tools, and as therapeutic modalities in the context of viral infections, tumors, autoimmune diseases, metabolic diseases, neurological diseases, and transplantation [3,4]. Particularly in the field of immuno-oncology, mAbs, and variants thereof, …
Single cell technologies for monitoring protein secretion …
Cell-to-cell heterogeneity presents challenges across various fields, from biomedicine to bioproduction, where precise cellular responses are vital. While single cell technologies have significantly enhanced our understanding of population heterogeneity, the predominant focus has been on monitoring intracellular compounds. Recognizing the added …
Purification technologies for induced pluripotent stem cell ...
This Review explores the principles and applications of cell purification technologies, with a particular emphasis on their clinical relevance for pluripotent stem-cell-based therapies. The ...
Advances in single cell technologies in immunology
The immune system is composed of heterogeneous populations of immune cells that regulate physiological processes and protect organisms against diseases. Single cell technologies have been used to assess immune cell responses at the single cell level, which are crucial for identifying the causes of d … Advances in single cell technologies in immunology …
Integrative single-cell analysis of longitudinal t(8;21) AML reveals ...
Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures Xue-Ping Li1,2, Jiang-Tao Song1,2, Yu-Ting Dai3, Wei-Na Zhang4, Bai-Tian Zhao2,5, Jia-Ying Mao2,5, Yan Gao2,5*, Lu Jiang3* and Yang Liang1,2* 1Department of Hematologic Oncology, Sun Yat-sen University …
Radio Access Technology and Heterogeneous Networks
Radio Access Technology or (RAT) is the underlying physical connection method for radio-based communication networks. Many modern cell phones support multiple RATs in one device, such as Bluetooth, Wi-Fi and GSM, UMTS, LTE or 5G NR. More recently, RAT has been used to discuss heterogeneous wireless networks. It is used when the user …
Single-cell technologies: From research to application
Single-cell epigenome sequencing technologies were described in 2013, i.e., single-cell HiC and single-cell DNA methylome sequencing assays. 9, 10 The fastest-growing technique is the scATAC-seq (single-cell sequencing assay of transposase accessible chromatin), which was developed by the Greenleaf group for bulk sample format in 2013 and …
The technological landscape and applications of single-cell
Single-cell multi-omics technologies and methods characterize cell states and activities by simultaneously integrating various single-modality omics methods that profile the transcriptome, genome ...
Single‐cell RNA sequencing technologies and …
Application of single-cell RNA sequencing technology. Single-cell RNA sequencing has been employed in different species (humans, animals, plants) to improve understanding of normal and disease models. A special …
Intratumoral Heterogeneity: More Than Just Mutations
Most human tumors are composed of genetically and phenotypically heterogeneous cancer cell populations, which poses a major challenge for the clinical management of cancer patients. Advances of single-cell technologies have allowed the profiling of tumors at unprecedented depth, which, in combination with newly developed computational …
Opportunities and tradeoffs in single-cell transcriptomic technologies
Recent technological and algorithmic advances enable single-cell transcriptomic analysis with remarkable depth and breadth. Nonetheless, a persistent challenge is the compromise between the ability to profile high numbers of cells and the achievement of full-length transcript coverage. Currently, the field is progressing and developing new and creative …
Single-cell technologies: From research to application
In recent years, more and more single-cell technologies have been developed. A vast amount of single-cell omics data has been generated by large projects, such as the Human Cell Atlas, the Mouse Cell Atlas, the Mouse RNA Atlas, …
Tumour heterogeneity and metastasis at single-cell resolution
Single-cell technologies have advanced rapidly in the past several years. Currently available protocols vary in cell capture method, library preparation chemistry and throughput (Table 1 ...
Small Cells Integration with the Macro-Cell Under LTE ...
Heterogeneous Networks (HetNet) requires the deployment of small cell networks that can co-exist with the existing macro-cell. To provide a high Quality of Service (QoS), a massive multiple-input-multiple-output (MIMO) must be equipped with a HetNet of a macro-cell base station to the multiple users. This paper highlights three important aspects of …
Single cell full-length transcriptome of human ...
Furthermore, non-adipogenic cell diversity can be thoroughly explored in human SVF with full-length SMART-Seq single cell technology while using relatively few cells. Limitations of the study The manuscript assesses the cellular composition of WAT when analyzed with different experimental techniques and highlight advantages used with snRNA-Seq on …
Comprehensive multi-omics single-cell data integration ...
of transcriptomics, cell-surface protein, and cell-receptor repertoire can reveal heterogeneous cell types relevant to disease mechanisms and homeostasis. However, multi-omics technologies also present computational challenges for data integration and anal-ysis (Colome´-Tatche´ and Theis 2018; Luecken and Theis 2019; Stuart and Satija 2019 ...