Literature DB >> 26410403

Cellular Deconstruction: Finding Meaning in Individual Cell Variation.

James Eberwine1, Junhyong Kim2.   

Abstract

The advent of single cell transcriptome analysis has permitted the discovery of cell-to-cell variation in transcriptome expression of even presumptively identical cells. We hypothesize that this variability reflects a many-to-one relation between transcriptome states and the phenotype of a cell. In this relation, the molecular ratios of the subsets of RNA are determined by the stoichiometric constraints of the cell systems, which underdetermine the transcriptome state. Furthermore, the variability is, in part, induced by the tissue context and is important for system-level function. This theory is analogous to theories of literary deconstruction, where multiple 'signifiers' work in opposition to one another to create meaning. By analogy, transcriptome phenotypes should be defined as subsets of RNAs comprising selected RNA systems where the system-associated RNAs are balanced with each other to produce the associated cellular function. This idea provides a framework for understanding cellular heterogeneity in phenotypic responses to variant conditions, such as disease challenge.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  biological constraints; phenotype; transcriptome

Mesh:

Substances:

Year:  2015        PMID: 26410403      PMCID: PMC4584424          DOI: 10.1016/j.tcb.2015.07.004

Source DB:  PubMed          Journal:  Trends Cell Biol        ISSN: 0962-8924            Impact factor:   20.808


  80 in total

1.  Quantitative single-cell RNA-seq with unique molecular identifiers.

Authors:  Saiful Islam; Amit Zeisel; Simon Joost; Gioele La Manno; Pawel Zajac; Maria Kasper; Peter Lönnerberg; Sten Linnarsson
Journal:  Nat Methods       Date:  2013-12-22       Impact factor: 28.547

2.  Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.

Authors:  Qiaolin Deng; Daniel Ramsköld; Björn Reinius; Rickard Sandberg
Journal:  Science       Date:  2014-01-10       Impact factor: 47.728

3.  Random monoallelic gene expression increases upon embryonic stem cell differentiation.

Authors:  Mélanie A Eckersley-Maslin; David Thybert; Jan H Bergmann; John C Marioni; Paul Flicek; David L Spector
Journal:  Dev Cell       Date:  2014-02-24       Impact factor: 12.270

4.  Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing.

Authors:  Zhigang Xue; Kevin Huang; Chaochao Cai; Lingbo Cai; Chun-yan Jiang; Yun Feng; Zhenshan Liu; Qiao Zeng; Liming Cheng; Yi E Sun; Jia-yin Liu; Steve Horvath; Guoping Fan
Journal:  Nature       Date:  2013-07-28       Impact factor: 49.962

5.  Quantitative assessment of single-cell RNA-sequencing methods.

Authors:  Angela R Wu; Norma F Neff; Tomer Kalisky; Piero Dalerba; Barbara Treutlein; Michael E Rothenberg; Francis M Mburu; Gary L Mantalas; Sopheak Sim; Michael F Clarke; Stephen R Quake
Journal:  Nat Methods       Date:  2013-10-20       Impact factor: 28.547

6.  Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.

Authors:  Diego Adhemar Jaitin; Ephraim Kenigsberg; Hadas Keren-Shaul; Naama Elefant; Franziska Paul; Irina Zaretsky; Alexander Mildner; Nadav Cohen; Steffen Jung; Amos Tanay; Ido Amit
Journal:  Science       Date:  2014-02-14       Impact factor: 47.728

7.  Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.

Authors:  Ditte Lovatt; Brittani K Ruble; Jaehee Lee; Hannah Dueck; Tae Kyung Kim; Stephen Fisher; Chantal Francis; Jennifer M Spaethling; John A Wolf; M Sean Grady; Alexandra V Ulyanova; Sean B Yeldell; Julianne C Griepenburg; Peter T Buckley; Junhyong Kim; Jai-Yoon Sul; Ivan J Dmochowski; James Eberwine
Journal:  Nat Methods       Date:  2014-01-12       Impact factor: 28.547

8.  Open questions: a rose is a rose is a rose--or not?

Authors:  Ronald N Germain
Journal:  BMC Biol       Date:  2014-01-31       Impact factor: 7.431

9.  Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells.

Authors:  Alex K Shalek; Rahul Satija; Xian Adiconis; Rona S Gertner; Jellert T Gaublomme; Raktima Raychowdhury; Schraga Schwartz; Nir Yosef; Christine Malboeuf; Diana Lu; John J Trombetta; Dave Gennert; Andreas Gnirke; Alon Goren; Nir Hacohen; Joshua Z Levin; Hongkun Park; Aviv Regev
Journal:  Nature       Date:  2013-05-19       Impact factor: 49.962

10.  Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages.

Authors:  Yusuke Ohnishi; Wolfgang Huber; Akiko Tsumura; Minjung Kang; Panagiotis Xenopoulos; Kazuki Kurimoto; Andrzej K Oleś; Marcos J Araúzo-Bravo; Mitinori Saitou; Anna-Katerina Hadjantonakis; Takashi Hiiragi
Journal:  Nat Cell Biol       Date:  2013-12-01       Impact factor: 28.824

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  10 in total

Review 1.  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

2.  High-Throughput Processing to Preserve Viable Cells: A Precision Medicine Initiative Cohort Program Workshop.

Authors:  Rebekah S Rasooly; Daniel R Gossett; Marianne K Henderson; Allison Hubel; Stephen N Thibodeau
Journal:  Biopreserv Biobank       Date:  2017-04-25       Impact factor: 2.300

3.  Single-cell secretion analysis reveals a dual role for IL-10 in restraining and resolving the TLR4-induced inflammatory response.

Authors:  Amanda F Alexander; Ilana Kelsey; Hannah Forbes; Kathryn Miller-Jensen
Journal:  Cell Rep       Date:  2021-09-21       Impact factor: 9.423

Review 4.  Single cell transcriptomics of noncoding RNAs and their cell-specificity.

Authors:  Katerina A B Gawronski; Junhyong Kim
Journal:  Wiley Interdiscip Rev RNA       Date:  2017-08-01       Impact factor: 9.957

5.  The natural defense system and the normative self model.

Authors:  Philippe Kourilsky
Journal:  F1000Res       Date:  2016-05-03

Review 6.  Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function.

Authors:  Hannah Dueck; James Eberwine; Junhyong Kim
Journal:  Bioessays       Date:  2015-12-02       Impact factor: 4.345

7.  The size-speed-force relationship governs migratory cell response to tumorigenic factors.

Authors:  Aldo Leal-Egaña; Gaelle Letort; Jean-Louis Martiel; Andreas Christ; Timothée Vignaud; Caroline Roelants; Odile Filhol; Manuel Théry
Journal:  Mol Biol Cell       Date:  2017-04-20       Impact factor: 4.138

Review 8.  Transcriptional Regulation in the Immune System: One Cell at a Time.

Authors:  Ananda L Roy
Journal:  Front Immunol       Date:  2019-06-14       Impact factor: 7.561

9.  Investigating the Effects of Brainstem Neuronal Adaptation on Cardiovascular Homeostasis.

Authors:  James H Park; Jonathan Gorky; Babatunde Ogunnaike; Rajanikanth Vadigepalli; James S Schwaber
Journal:  Front Neurosci       Date:  2020-05-20       Impact factor: 4.677

10.  Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis.

Authors:  Maeve O'Huallachain; Felice-Alessio Bava; Mary Shen; Carolina Dallett; Sri Paladugu; Nikolay Samusik; Simon Yu; Razika Hussein; Grantland R Hillman; Samuel Higgins; Melanie Lou; Angelica Trejo; Laura Qin; Yu Chuan Tai; Shigemi M Kinoshita; Astraea Jager; Deval Lashkari; Yury Goltsev; Sedide Ozturk; Garry P Nolan
Journal:  Commun Biol       Date:  2020-05-07
  10 in total

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