22 papers · ranked by Valyu relevance
Dragomirka Jovic, Xue Liang, Hua Zeng, Lin Lin + 2 more
'Yonglun Luo'] Title: Abstract Single-cell RNA sequencing (scRNA-seq) technology has become the state-of-the-art approach for unravelling the heterogeneity and complexity of RNA transcripts within individual cells, as well as revealing the composition of different cell types and functions within highly organized…
Wen-min Zhou, Yan-yan Yan, Qiao-ru Guo, Hong Ji + 7 more
'Tian-tian Xu' 'Bolat Makabel' 'Christian Pilarsky' 'Gen He' 'Xi-yong Yu' 'Jian-ye Zhang'] The inherent heterogeneity of individual cells in cell populations plays significant roles in disease development and progression, which is critical for disease diagnosis and treatment. Substantial evidences show that the…
Ping Hu, Wenhua Zhang, Hongbo Xin, Glenn Deng
Individual cell heterogeneity within a population can be critical to its peculiar function and fate. Subpopulations studies with mixed mutants and wild types may not be as informative regarding which cell responds to which drugs or clinical treatments. Cell to cell differences in RNA transcripts and protein expression…
Jian Wang, Yuanlin Song
Single cell sequencing (SCS) has become a new approach to study biological heterogeneity. The advancement in technologies for single cell isolation, amplification of genome/transcriptome and next-generation sequencing enables SCS to reveal the inherent properties of a single cell from the large scale of the genome…
Itamar Kanter, Tomer Kalisky
Traditionally, gene expression measurements were performed on “bulk” samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in…
Xinghua Pan
Single-cell analysis heralds a new era that allows “omics” analysis, notably genomics, transcriptomics, epigenomics and proteomics at the single-cell level. It enables the identification of the minor subpopulations that may play a critical role in a biological process of a population of cells, which conventionally are…
Siyuan Chen, Weibo Jiang, Yanhui Du, Manshi Yang + 3 more
'Huan Li' 'Mengying Cui'] Single-cell sequencing (SCS) technology is changing our understanding of cellular components, functions, and interactions across organisms, because of its inherent advantage of avoiding noise resulting from genotypic and phenotypic heterogeneity across numerous samples. By directly and…
Rodolphe Marie, Marie Pødenphant, Kamila Koprowska, Loic Bærlocher + 15 more
Sequencing the genomes of individual cells enables the direct determination of genetic heterogeneity amongst cells within a population. We have developed an injection-moulded valveless microfluidic device in which single cells from colorectal cell (LS174T, LS180 and RKO) lines and fresh colorectal cancers are…
Koen Theunis, Sebastiaan Vanuytven, Florian Rambow, Daniel Brown + 9 more
Single-cell multi-omics methods are enabling the study of cell state diversity, which is largely determined by the interplay of the genome, epigenome, and transcriptome. Here, we describe Gtag&T-seq, a genome-and-transcriptome sequencing (G&T-seq) protocol of the same single cells that omits whole-genome amplification…
Ionut Sebastian Mihai, Sarang Chafle, Johan Henriksson
Single-cell analysis is currently one of the most high-resolution techniques to study biology. The large complex datasets that have been generated have spurred numerous developments in computational biology, in particular the use of advanced statistics and machine learning. This review attempts to explain the deeper…
Valentine Svensson, Roser Vento‐Tormo, Sarah A. Teichmann
The ability to measure the transcriptomes of single cells has only been feasible for a few years, and is becoming an extremely popular assay. While many types of analysis and questions can be answered using single cell RNA-sequencing, a central focus is the ability to survey the diversity of cell types within a sample.…
Junyue Cao, Jonathan S. Packer, Vijay Ramani, Darren A. Cusanovich + 10 more
Conventional methods for profiling the molecular content of biological samples fail to resolve heterogeneity that is present at the level of single cells. In the past few years, single cell RNA sequencing has emerged as a powerful strategy for overcoming this challenge. However, its adoption has been limited by a…
Vuong Tran, Efthymia Papalexi, Sarah Schroeder, Grace Kim + 13 more
Single cell RNA sequencing (scRNA-seq) has become a core tool for researchers to understand biology. As scRNA-seq has become more ubiquitous, many applications demand higher scalability and sensitivity. Split-pool combinatorial barcoding makes it possible to scale projects to hundreds of samples and millions of cells…
P. Marafini, DG. Smith, AR. Lamstaes, RE. Contreras + 22 more
Existing tools for single cell genomics require complex physical frameworks for the indexing of cellular nucleic acids, including proprietary instrumentation, droplet emulsions, and laborious combinatorial indexing schemes. The complexity and cost of these tools significantly constrains the use of single cell…
Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen + 11 more
'Yixin Wang' 'Julian Venegas' 'Wei Jin' 'Renming Liu' 'Runze Su' 'Patrick Danaher' 'Robert Yang' 'Yu L. Lei' 'Yuying Xie' 'Jiliang Tang'] Single-cell technologies are revolutionizing the entire field of biology. The large volumes of data generated by single-cell technologies are high-dimensional, sparse, heterogeneous…
Jafar Isbarov, Elmir Mahammadov
analysis Authors: ['Jafar Isbarov' 'Elmir Mahammadov'] Single-cell analysis is an increasingly relevant approach in "omics" studies. In the last decade, it has been applied to various fields, including cancer biology, neuroscience, and, especially, developmental biology. This rise in popularity has been accompanied…
Leland B. Hyman, Clare R. Christopher, Philip A. Romero
Experimental methods that capture the individual properties of single cells are revealing the key role of cell-to-cell variability in countless biological processes. These single-cell methods are becoming increasingly important across the life sciences in fields such as immunology, regenerative medicine, and cancer…
Juerg Straubhaar, Alexandria D’Souza, Zachary Niziolek, Bogdan Budnik
Single-cell analysis has clearly established itself in biology and biomedical fields as an invaluable tool that allows one to comprehensively understand the relationship between cells, including their types, states, transitions, trajectories, and spatial position. Scientific methods such as fluorescence labeling…
Authors not listed
The Single-probe is a multifunctional device that can be coupled to mass spectrometry (MS) for molecular analysis of microscale samples, such as single cells, tissue slices, and multicellular spheroids, under ambient conditions. In Single-probe single cell MS (SCMS) studies, this technique leverages direct sampling and…
Authors not listed
Single-cell mass spectrometry (SCMS) has emerged as a powerful tool for analyzing metabolites in individual cells, including live cells. However, cell metabolites have rapid turnover rate, whereas maintaining metabolites’ profiles of live cells during sample transport, storage, or extended measurements can be…
Authors not listed
Large-scale de novo nucleic acid synthesis is a powerful tool enabling researchers to better understand and engineer biological systems. Fields ranging from genomics to nucleic acid therapeutics to synthetic biology make use of high-throughput experimental approaches requiring access to large pools or libraries of DNA…
Amal Homer, Andrea Knoll, Uschi Gruber, Oliver Seitz
Fluorogenic hybridization probes allow the detection and localization of specific mRNA molecules in living cells without the need for genetic engineering. However, with the fluorescence properties of currently available oligonucleotide probes, detection in live cells is difficult when the mRNA target is expressed at…