Literature DB >> 33665566

Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering.

Andres F Vallejo1, James Davies1, Amit Grover2, Ching-Hsuan Tsai3, Robert Jepras2, Marta E Polak1,4, Jonathan West4,5.   

Abstract

Single-cell transcriptomics suffer from sensitivity limits that restrict low abundance transcript identification, affects clustering and can hamper downstream analyses. Here, we describe Constellation sequencing (Constellation-Seq), a molecular transcriptome filter that delivers two orders of magnitude sensitivity gains by maximizing read utility while reducing the data sparsity and sequencing costs. The technique reliably measures changes in gene expression and was demonstrated by resolving rare dendritic cell populations from a peripheral blood mononuclear cell sample sample and exploring their biology with extreme resolution. The simple and powerful method is fully compatible with standard scRNA-Seq library preparation protocols and can be used for hypothesis testing, marker validation or investigating pathways.
© 2021 The Author(s).

Entities:  

Keywords:  Biological Sciences; Omics; Transcriptomics

Year:  2021        PMID: 33665566      PMCID: PMC7900351          DOI: 10.1016/j.isci.2021.102147

Source DB:  PubMed          Journal:  iScience        ISSN: 2589-0042


  20 in total

1.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

2.  CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.

Authors:  Tamar Hashimshony; Florian Wagner; Noa Sher; Itai Yanai
Journal:  Cell Rep       Date:  2012-08-30       Impact factor: 9.423

3.  In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus.

Authors:  Sheel Shah; Eric Lubeck; Wen Zhou; Long Cai
Journal:  Neuron       Date:  2016-10-19       Impact factor: 17.173

4.  Frequencies of dendritic cells (myeloid DC and plasmacytoid DC) and their ratio reduced in pregnant women: comparison with umbilical cord blood and normal healthy adults.

Authors:  Yoko Ueda; Masao Hagihara; Ayako Okamoto; Ayako Higuchi; Akiko Tanabe; Kaori Hirabayashi; Shunichiro Izumi; Tsunehisa Makino; Shunichi Kato; Tomomitsu Hotta
Journal:  Hum Immunol       Date:  2003-12       Impact factor: 2.850

5.  Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.

Authors:  Alexandra-Chloé Villani; Rahul Satija; Gary Reynolds; Siranush Sarkizova; Karthik Shekhar; James Fletcher; Morgane Griesbeck; Andrew Butler; Shiwei Zheng; Suzan Lazo; Laura Jardine; David Dixon; Emily Stephenson; Emil Nilsson; Ida Grundberg; David McDonald; Andrew Filby; Weibo Li; Philip L De Jager; Orit Rozenblatt-Rosen; Andrew A Lane; Muzlifah Haniffa; Aviv Regev; Nir Hacohen
Journal:  Science       Date:  2017-04-21       Impact factor: 47.728

6.  Intestinal CD103(+)CD11b(-) dendritic cells restrain colitis via IFN-γ-induced anti-inflammatory response in epithelial cells.

Authors:  A R B M Muzaki; P Tetlak; J Sheng; S C Loh; Y A Setiagani; M Poidinger; F Zolezzi; K Karjalainen; C Ruedl
Journal:  Mucosal Immunol       Date:  2015-07-15       Impact factor: 7.313

Review 7.  Design and computational analysis of single-cell RNA-sequencing experiments.

Authors:  Rhonda Bacher; Christina Kendziorski
Journal:  Genome Biol       Date:  2016-04-07       Impact factor: 13.583

8.  Simultaneous multiplexed amplicon sequencing and transcriptome profiling in single cells.

Authors:  Mridusmita Saikia; Philip Burnham; Sara H Keshavjee; Michael F Z Wang; Michael Heyang; Pablo Moral-Lopez; Meleana M Hinchman; Charles G Danko; John S L Parker; Iwijn De Vlaminck
Journal:  Nat Methods       Date:  2018-12-17       Impact factor: 28.547

9.  Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries.

Authors:  Kent A Riemondy; Monica Ransom; Christopher Alderman; Austin E Gillen; Rui Fu; Jessica Finlay-Schultz; Gregory D Kirkpatrick; Jorge Di Paola; Peter Kabos; Carol A Sartorius; Jay R Hesselberth
Journal:  Nucleic Acids Res       Date:  2019-02-28       Impact factor: 16.971

10.  Human tissues contain CD141hi cross-presenting dendritic cells with functional homology to mouse CD103+ nonlymphoid dendritic cells.

Authors:  Muzlifah Haniffa; Amanda Shin; Venetia Bigley; Naomi McGovern; Pearline Teo; Peter See; Pavandip Singh Wasan; Xiao-Nong Wang; Frano Malinarich; Benoit Malleret; Anis Larbi; Pearlie Tan; Helen Zhao; Michael Poidinger; Sarah Pagan; Sharon Cookson; Rachel Dickinson; Ian Dimmick; Ruth F Jarrett; Laurent Renia; John Tam; Colin Song; John Connolly; Jerry K Y Chan; Adam Gehring; Antonio Bertoletti; Matthew Collin; Florent Ginhoux
Journal:  Immunity       Date:  2012-07-12       Impact factor: 31.745

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  4 in total

Review 1.  Advances and Opportunities in Single-Cell Transcriptomics for Plant Research.

Authors:  Carolin Seyfferth; Jim Renema; Jos R Wendrich; Thomas Eekhout; Ruth Seurinck; Niels Vandamme; Bernhard Blob; Yvan Saeys; Yrjo Helariutta; Kenneth D Birnbaum; Bert De Rybel
Journal:  Annu Rev Plant Biol       Date:  2021-03-17       Impact factor: 26.379

2.  Ileal Transcriptomic Analysis in Paediatric Crohn's Disease Reveals IL17- and NOD-signalling Expression Signatures in Treatment-naïve Patients and Identifies Epithelial Cells Driving Differentially Expressed Genes.

Authors:  James J Ashton; Konstantinos Boukas; James Davies; Imogen S Stafford; Andres F Vallejo; Rachel Haggarty; Tracy A F Coelho; Akshay Batra; Nadeem A Afzal; Bhumita Vadgama; Anthony P Williams; R Mark Beattie; Marta E Polak; Sarah Ennis
Journal:  J Crohns Colitis       Date:  2021-05-04       Impact factor: 9.071

3.  Coexpression reveals conserved gene programs that co-vary with cell type across kingdoms.

Authors:  Megan Crow; Hamsini Suresh; John Lee; Jesse Gillis
Journal:  Nucleic Acids Res       Date:  2022-04-22       Impact factor: 19.160

4.  Targeted Perturb-seq enables genome-scale genetic screens in single cells.

Authors:  Daniel Schraivogel; Andreas R Gschwind; Jennifer H Milbank; Daniel R Leonce; Petra Jakob; Lukas Mathur; Jan O Korbel; Christoph A Merten; Lars Velten; Lars M Steinmetz
Journal:  Nat Methods       Date:  2020-06-01       Impact factor: 28.547

  4 in total

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