13 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…
Antoine-Emmanuel Saliba, Alexander J. Westermann, Stanislaw A. Gorski, Jörg Vogel
'Jörg Vogel'] Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a…
Yukie Kashima, Yoshitaka Sakamoto, Keiya Kaneko, Masahide Seki + 2 more
'Yutaka Suzuki' 'Ayako Suzuki'] Here, we review single-cell sequencing techniques for individual and multiomics profiling in single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic methods, and examples of their applications. For the integration of multilayered data sets, such as the…
Rashid Ahmed, Tariq Zaman, Farhan Chowdhury, Fatima Mraiche + 5 more
'Muhammad Tariq' 'Irfan S. Ahmad' 'Anwarul Hasan' 'Alessandro Desideri' 'Damjan Glavač'] Single-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at the single-cell level and possess an unprecedented potential for exploring signatures involved in tumor development and progression. These…
Michael A. Ortega, Olivier Poirion, Xun Zhu, Sijia Huang + 3 more
It has become increasingly clear that both normal and cancer tissues are composed of heterogeneous populations. Genetic variation can be attributed to the downstream effects of inherited mutations, environmental factors, or inaccurately resolved errors in transcription and replication. When lesions occur in regions…
Sibo Zhu, Tao Qing, Yuanting Zheng, Li Jin + 1 more
Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic analysis of an individual cell. Through the combination of high-throughput sequencing and bioinformatic tools, single-cell RNA-seq can detect more than 10,000 transcripts in one cell to distinguish cell subsets and dynamic cellular…
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…
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…
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…
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…
Leonard D. Goldstein, Ying-Jiun Jasmine Chen, Jude Dunne, Alain Mir + 20 more
'Hermann Hubschle' 'Joseph Guillory' 'Wenlin Yuan' 'Jingli Zhang' 'Jeremy Stinson' 'Bijay Jaiswal' 'Kanika Bajaj Pahuja' 'Ishminder Mann' 'Thomas Schaal' 'Leo Chan' 'Sangeetha Anandakrishnan' 'Chun-wah Lin' 'Patricio Espinoza' 'Syed Husain' 'Harris Shapiro' 'Karthikeyan Swaminathan' 'Sherry Wei' 'Maithreyan Srinivasan'…
Giulia Carangelo, Alberto Magi, Roberto Semeraro
Single cell RNA sequencing (scRNA-seq) is today a common and powerful technology in biomedical research settings, allowing to profile the whole transcriptome of a very large number of individual cells and reveal the heterogeneity of complex clinical samples. Traditionally, cells have been classified by their morphology…
Luwen Ning, Geng Liu, Guibo Li, Yong Hou + 2 more
Single cell genomics is a rapidly growing field with many new techniques emerging in the past few years. However, few bioinformatics tools specific for single cell genomics analysis are available. Single cell DNA/RNA sequencing data usually have low genome coverage and high amplification bias, which makes…