2021
DOI: 10.1111/nyas.14692
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Single cell biology—a Keystone Symposia report

Abstract: Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state-transcriptional, epigenetic, and other characteristics-can lead to different cell fates among genetically identical cells, which underlies comple… Show more

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Cited by 3 publications
(4 citation statements)
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“…Research in many areas of biology focus on single-cell studies, particularly single-cell RNA sequencing (scRNA-seq) mainly using microfluidic-based methods 14 , with the 10x Genomics Chromium instruments achieving particularly wide usage 5 . Comparative benchmarking has been reported for many of the available methods (including CEL-seq2, MARS-seq, Quartz-seq2, gmcSCRB-seq, Smart-seq2, C1HT-small, C1HT-medium, Chromium, ddSEQ, Drop-seq, ICELL8, and inDrop) 6, 7 .…”
Section: Fig1mentioning
confidence: 99%
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“…Research in many areas of biology focus on single-cell studies, particularly single-cell RNA sequencing (scRNA-seq) mainly using microfluidic-based methods 14 , with the 10x Genomics Chromium instruments achieving particularly wide usage 5 . Comparative benchmarking has been reported for many of the available methods (including CEL-seq2, MARS-seq, Quartz-seq2, gmcSCRB-seq, Smart-seq2, C1HT-small, C1HT-medium, Chromium, ddSEQ, Drop-seq, ICELL8, and inDrop) 6, 7 .…”
Section: Fig1mentioning
confidence: 99%
“…Upon gelation the tandems are immobilized, cell lysis is triggered by detergent diffusion, and RNA molecules are captured on the adjacent barcode beads. After reverse transcription and preparation for cDNA sequencing, bioinformatic analysis reveals performance quality comparable to microfluidic-based technologies.Research in many areas of biology focus on single-cell studies, particularly single-cell RNA sequencing (scRNA-seq) mainly using microfluidic-based methods [1][2][3][4] , with the 10x Genomics Chromium instruments achieving particularly wide usage 5 . Comparative benchmarking has been reported for many of the available methods (including CEL-seq2, MARS-seq, Quartz-seq2, gmcSCRB-seq, Smart-seq2, C1HT-small, C1HT-medium, Chromium, ddSEQ, Drop-seq, ICELL8, and inDrop) 6, 7 .…”
mentioning
confidence: 99%
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“…While this diversity is evident at the organism level, it was not observed/detectable at the cellular level until the last decade. Lately, with the advent of single-cell sequencing (scRNA seq) technologies, more and more evidence has revealed heterogeneity within a previously thought homogeneous pool of cells 1 . This has revolutionized the field of cancer research by unravelling previously unknown cell states of the transformed cancer cell [2][3][4][5] .…”
Section: Introductionmentioning
confidence: 99%