Literature DB >> 24248345

RNA-sequencing from single nuclei.

Rashel V Grindberg1, Joyclyn L Yee-Greenbaum, Michael J McConnell, Mark Novotny, Andy L O'Shaughnessy, Georgina M Lambert, Marcos J Araúzo-Bravo, Jun Lee, Max Fishman, Gillian E Robbins, Xiaoying Lin, Pratap Venepally, Jonathan H Badger, David W Galbraith, Fred H Gage, Roger S Lasken.   

Abstract

It has recently been established that synthesis of double-stranded cDNA can be done from a single cell for use in DNA sequencing. Global gene expression can be quantified from the number of reads mapping to each gene, and mutations and mRNA splicing variants determined from the sequence reads. Here we demonstrate that this method of transcriptomic analysis can be done using the extremely low levels of mRNA in a single nucleus, isolated from a mouse neural progenitor cell line and from dissected hippocampal tissue. This method is characterized by excellent coverage and technical reproducibility. On average, more than 16,000 of the 24,057 mouse protein-coding genes were detected from single nuclei, and the amount of gene-expression variation was similar when measured between single nuclei and single cells. Several major advantages of the method exist: first, nuclei, compared with whole cells, have the advantage of being easily isolated from complex tissues and organs, such as those in the CNS. Second, the method can be widely applied to eukaryotic species, including those of different kingdoms. The method also provides insight into regulatory mechanisms specific to the nucleus. Finally, the method enables dissection of regulatory events at the single-cell level; pooling of 10 nuclei or 10 cells obscures some of the variability measured in transcript levels, implying that single nuclei and cells will be extremely useful in revealing the physiological state and interconnectedness of gene regulation in a manner that avoids the masking inherent to conventional transcriptomics using bulk cells or tissues.

Entities:  

Keywords:  deep sequencing; nuclear RNA; whole cell RNA

Mesh:

Year:  2013        PMID: 24248345      PMCID: PMC3856806          DOI: 10.1073/pnas.1319700110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  53 in total

1.  Noise in eukaryotic gene expression.

Authors:  William J Blake; Mads KAErn; Charles R Cantor; J J Collins
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

Review 2.  Microarrays and the gene expression profile of a single cell.

Authors:  Ernest S Kawasaki
Journal:  Ann N Y Acad Sci       Date:  2004-05       Impact factor: 5.691

3.  Gene expression changes in the course of neural progenitor cell differentiation.

Authors:  Ulf Gurok; Christine Steinhoff; Bettina Lipkowitz; H-Hilger Ropers; Constance Scharff; Ulrike A Nuber
Journal:  J Neurosci       Date:  2004-06-30       Impact factor: 6.167

4.  Ultramicrochemical determination of nucleic acids in individual cells using the Zeiss UMSP-I microspectrophotometer. Application to isolated rat hepatocytes of different ploidy classes.

Authors:  R C Roozemond
Journal:  Histochem J       Date:  1976-11

Review 5.  The color of mice: in the light of GFP-variant reporters.

Authors:  A K Hadjantonakis; A Nagy
Journal:  Histochem Cell Biol       Date:  2001-01       Impact factor: 4.304

6.  Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs.

Authors:  Xuezhong Cai; Curt H Hagedorn; Bryan R Cullen
Journal:  RNA       Date:  2004-11-03       Impact factor: 4.942

7.  Efficient recombination in diverse tissues by a tamoxifen-inducible form of Cre: a tool for temporally regulated gene activation/inactivation in the mouse.

Authors:  Shigemi Hayashi; Andrew P McMahon
Journal:  Dev Biol       Date:  2002-04-15       Impact factor: 3.582

8.  Structure, expression and chromosomal location of the Oct-4 gene.

Authors:  Y I Yeom; H S Ha; R Balling; H R Schöler; K Artzt
Journal:  Mech Dev       Date:  1991-11       Impact factor: 1.882

9.  Age-related changes in neuronal RNA content in rhesus monkeys (Macaca mulatta).

Authors:  E Uemura
Journal:  Brain Res Bull       Date:  1980 Mar-Apr       Impact factor: 4.077

10.  Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

Authors:  Daniel Ramsköld; Shujun Luo; Yu-Chieh Wang; Robin Li; Qiaolin Deng; Omid R Faridani; Gregory A Daniels; Irina Khrebtukova; Jeanne F Loring; Louise C Laurent; Gary P Schroth; Rickard Sandberg
Journal:  Nat Biotechnol       Date:  2012-08       Impact factor: 54.908

View more
  126 in total

Review 1.  Transcription-Factor-Dependent Control of Adult Hippocampal Neurogenesis.

Authors:  Ruth Beckervordersandforth; Chun-Li Zhang; Dieter Chichung Lie
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-10-01       Impact factor: 10.005

Review 2.  Single Cell RNA Sequencing in Atherosclerosis Research.

Authors:  Jesse W Williams; Holger Winkels; Christopher P Durant; Konstantin Zaitsev; Yanal Ghosheh; Klaus Ley
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

Review 3.  Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.

Authors:  Robert C Wirka; Milos Pjanic; Thomas Quertermous
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

4.  mTORC1 pathway is involved in the kappa opioid receptor activation-induced increase in excessive alcohol drinking in mice.

Authors:  Yan Zhou; Yupu Liang; Mary Jeanne Kreek
Journal:  Pharmacol Biochem Behav       Date:  2020-05-26       Impact factor: 3.533

5.  Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing.

Authors:  Anna K Casasent; Aislyn Schalck; Ruli Gao; Emi Sei; Annalyssa Long; William Pangburn; Tod Casasent; Funda Meric-Bernstam; Mary E Edgerton; Nicholas E Navin
Journal:  Cell       Date:  2018-01-04       Impact factor: 41.582

Review 6.  Single-cell analysis of diversity in human stem cell-derived neurons.

Authors:  Lise J Harbom; Nadine Michel; Michael J McConnell
Journal:  Cell Tissue Res       Date:  2017-11-29       Impact factor: 5.249

Review 7.  Analytical tools and current challenges in the modern era of neuroepigenomics.

Authors:  Ian Maze; Li Shen; Bin Zhang; Benjamin A Garcia; Ningyi Shao; Amanda Mitchell; HaoSheng Sun; Schahram Akbarian; C David Allis; Eric J Nestler
Journal:  Nat Neurosci       Date:  2014-10-28       Impact factor: 24.884

8.  Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing.

Authors:  Mei-Chong Wendy Lee; Fernando J Lopez-Diaz; Shahid Yar Khan; Muhammad Akram Tariq; Yelena Dayn; Charles Joseph Vaske; Amie J Radenbaugh; Hyunsung John Kim; Beverly M Emerson; Nader Pourmand
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-22       Impact factor: 11.205

9.  Generation, transcriptome profiling, and functional validation of cone-rich human retinal organoids.

Authors:  Sangbae Kim; Albert Lowe; Rachayata Dharmat; Seunghoon Lee; Leah A Owen; Jun Wang; Akbar Shakoor; Yumei Li; Denise J Morgan; Andre A Hejazi; Ales Cvekl; Margaret M DeAngelis; Z Jimmy Zhou; Rui Chen; Wei Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-09       Impact factor: 11.205

Review 10.  Tumour heterogeneity and metastasis at single-cell resolution.

Authors:  Devon A Lawson; Kai Kessenbrock; Ryan T Davis; Nicholas Pervolarakis; Zena Werb
Journal:  Nat Cell Biol       Date:  2018-11-26       Impact factor: 28.824

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.