Search · four archives
Search · four archives
18 papers · ranked by Valyu relevance
Serena Liu, Cole Trapnell
Single-cell RNA-sequencing methods are now robust and economically practical and are becoming a powerful tool for high-throughput, high-resolution transcriptomic analysis of cell states and dynamics. Single-cell approaches circumvent the averaging artifacts associated with traditional bulk population data, yielding new…
Laura Mincarelli, Ashleigh Lister, James Lipscombe, Iain C. Macaulay
Cells are a fundamental unit of life, and the ability to study the phenotypes and behaviors of individual cells is crucial to understanding the workings of complex biological systems. Cell phenotypes (epigenomic, transcriptomic, proteomic, and metabolomic) exhibit dramatic heterogeneity between and within the different…
Getnet Molla Desta, Alemayehu Godana Birhanu
In recent years, significant advancements in biochemistry, materials science, engineering, and computer-aided testing have driven the development of high-throughput tools for profiling genetic information. Single-cell RNA sequencing (scRNA-seq) technologies have established themselves as key tools for dissecting…
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…
Zhitu Zhu, Diane C Wang, Laurenţiu M Popescu, Xiangdong Wang
Single cell transcriptome defined as the entire RNA or polyadenylated products of RNA polymerase II on a cell can describe the gene regulation networks responsible for physiological functions, behaviours, and phenotypes in response to signals and microenvironmental changes. Single cell transcriptome/sequencing has the…
Philippe Jean, Fabienne Wong Jun Tai, Amrit Singh-Estivalet, Andrea Lelli + 14 more
'Andrea Lelli' 'Cyril Scandola' 'Sébastien Megharba' 'Sandrine Schmutz' 'Solène Roux' 'Sabrina Mechaussier' 'Muriel Sudres' 'Enguerran Mouly' 'Anne-Valérie Heritier' 'Crystel Bonnet' 'Adeline Mallet' 'Sophie Novault' 'Valentina Libri' 'Christine Petit' 'Nicolas Michalski'] Title: Significance An increasing number of…
James Eberwine, Ditte Lovatt, Peter Buckley, Hannah Dueck + 11 more
'Chantal Francis' 'Tae Kyung Kim' 'Jaehee Lee' 'Miler Lee' 'Kevin Miyashiro' 'Jacqueline Morris' 'Tiina Peritz' 'Terri Schochet' 'Jennifer Spaethling' 'Jai-Yoon Sul' 'Junhyong Kim'] The building blocks of complex biological systems are single cells. Fundamental insights gained from single-cell analysis promise to…
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…
Daniel Bode, Alyssa H. Cull, Juan A. Rubio-Lara, David G. Kent
Single-cell molecular tools have been developed at an incredible pace over the last five years as sequencing costs continue to drop and numerous molecular assays have been coupled to sequencing readouts. This rapid period of technological development has facilitated the delineation of individual molecular…
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…
Paulina M. Strzelecka, Anna M. Ranzoni, Ana Cvejic
Probing cellular population diversity at single-cell resolution became possible only in recent years. The popularity of single-cell ‘omic’ approaches, which allow researchers to dissect sample heterogeneity and cell-to-cell variation, continues to grow. With continuous technological improvements, single-cell omics are…
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…
Kayleigh Casmey, Maria Zimmermann, Yuxin Xie, Sierra A. Codeluppi-Arrowsmith + 2 more
Single-cell omics technology has advanced rapidly since its inception, offering increasing precision, resolution, and technical diversity to explore cell-specific molecular features in the human brain and neuropsychiatric disorders. While traditional bulk genomic analyses have provided valuable insights into the…
Iain C. Macaulay, Chris P. Ponting, Thierry Voet
Single-cell sequencing provides information that is not confounded by genotypic or phenotypic heterogeneity of bulk samples. Sequencing of one molecular type (RNA, methylated DNA or open chromatin) in a single cell, furthermore, provides insights into the cell's phenotype and links to its genotype. Nevertheless, only…
Haoxuan Luo, Ansar Hussain, Musavir Abbas, Lun Yuan + 5 more
Droplet-based single-cell RNA sequencing (scRNA-seq) has redefined biological research by resolving cellular heterogeneity with an unprecedented precision. This review synthesizes the technological evolution of the 10× Genomics Chromium platform, its Gel Bead-in-Emulsion (GEM)s technology, and end-to-end workflows…
Qiao Rui Xing, Nadia Omega Cipta, Kiyofumi Hamashima, Yih-Cherng Liou + 2 more
Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More…
Hongfei Li, Jiechen Wang, Qing Liu, Quan Zou + 1 more
Joint profiling technologies combining single-cell chromatin accessibility (CA) and transcriptome sequencing enable cellular heterogeneity analysis from both gene and cis-regulatory element perspectives, greatly advancing molecular biology at a cellular resolution. These techniques have been used to construct gene…
Haiyue Bi, Xiaocheng Weng
The meticulous examination of the genomic, transcriptomic, epigenomic, and proteomic landscapes, conducted at the precise resolution of single cells, has emerged as an indispensable instrument for comprehending the inherent mechanisms governing cellular heterogeneity. These methodologies have provided unprecedented…