Site-specific recombinatorics: in situ cellular barcoding with the Cre Lox system

BackgroundCellular barcoding is a recently developed biotechnology tool that enables the familial identification of progeny of individual cells in vivo. In immunology, it has been used to track the burst-sizes of multiple distinct responding T cells over several adaptive immune responses. In the study of hematopoiesis, it revealed fate heterogeneity amongst phenotypically identical multipotent cells. Most existing approaches rely on ex vivo viral transduction of cells with barcodes followed by adoptive transfer into an animal, which works well for some systems, but precludes barcoding cells in their native environment such as those inside solid tissues.ResultsWith a view to overcoming this limitation, we propose a new design for a genetic barcoding construct based on the Cre Lox system that induces randomly created stable barcodes in cells in situ by exploiting inherent sequence distance constraints during site-specific recombination. We identify the cassette whose provably maximal code diversity is several orders of magnitude higher than what is attainable with previously considered Cre Lox barcoding approaches, exceeding the number of lymphocytes or hematopoietic progenitor cells in mice.ConclusionsIts high diversity and in situ applicability, make the proposed Cre Lox based tagging system suitable for whole tissue or even whole animal barcoding. Moreover, it can be built using established technology.

[1]  Felix Carbonell,et al.  Reconstruction of rat retinal progenitor cell lineages in vitro reveals a surprising degree of stochasticity in cell fate decisions , 2011, Development.

[2]  L. Bystrykh,et al.  Heterogeneity of young and aged murine hematopoietic stem cells revealed by quantitative clonal analysis using cellular barcoding. , 2013, Blood.

[3]  A. Koulakov,et al.  An Exactly Solvable Model of Random Site-Specific Recombinations , 2011, Bulletin of mathematical biology.

[4]  L. Bystrykh,et al.  Tracing Dynamics and Clonal Heterogeneity of Cbx7-Induced Leukemic Stem Cells by Cellular Barcoding , 2014, Stem cell reports.

[5]  N. Lennon,et al.  Characterizing and measuring bias in sequence data , 2013, Genome Biology.

[6]  Hassana K. Oyibo,et al.  Sequencing the Connectome , 2012, PLoS biology.

[7]  M. Mandjes,et al.  THE ANALYSIS OF SINGLETONS IN GENERALIZED BIRTHDAY PROBLEMS , 2012, Probability in the Engineering and Informational Sciences.

[8]  J. Sanes,et al.  Improved tools for the Brainbow toolbox. , 2013, Nature methods.

[9]  P. Hodgkin,et al.  Lymphocyte fate specification as a deterministic but highly plastic process , 2014, Nature Reviews Immunology.

[10]  Justin N. M. Pinkney,et al.  Capturing reaction paths and intermediates in Cre-loxP recombination using single-molecule fluorescence , 2012, Proceedings of the National Academy of Sciences.

[11]  F. Watt,et al.  Lineage Tracing , 2012, Cell.

[12]  T. Schumacher,et al.  Diverse and heritable lineage imprinting of early haematopoietic progenitors , 2013, Nature.

[13]  A. Powers,et al.  Tamoxifen-Induced Cre-loxP Recombination Is Prolonged in Pancreatic Islets of Adult Mice , 2012, PloS one.

[14]  Ramon Arens,et al.  Dissecting T cell lineage relationships by cellular barcoding , 2008, The Journal of experimental medicine.

[15]  Irving L. Weissman,et al.  Tracking single hematopoietic stem cells in vivo using high-throughput sequencing in conjunction with viral genetic barcoding , 2011, Nature Biotechnology.

[16]  A. Chenchik,et al.  Measurement of Cancer Cell Growth Heterogeneity through Lentiviral Barcoding Identifies Clonal Dominance as a Characteristic of In Vivo Tumor Engraftment , 2013, PloS one.

[17]  F. Guo,et al.  Structure of Cre recombinase complexed with DNA in a site-specific recombination synapse , 1997, Nature.

[18]  Ton N Schumacher,et al.  Determining lineage pathways from cellular barcoding experiments. , 2014, Cell reports.

[19]  T. Hawley,et al.  Clonal contributions of small numbers of retrovirally marked hematopoietic stem cells engrafted in unirradiated neonatal W/Wv mice. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[20]  T. Schumacher,et al.  Single cell behavior in T cell differentiation. , 2014, Trends in immunology.

[21]  T. Schumacher,et al.  Cellular barcoding: a technical appraisal. , 2014, Experimental hematology.

[22]  T. Yagi Genetic Basis of Neuronal Individuality in the Mammalian Brain , 2013, Journal of neurogenetics.

[23]  A. Gerrits,et al.  Cellular barcoding tool for clonal analysis in the hematopoietic system. , 2010, Blood.

[24]  Allon M. Klein,et al.  Clonal dynamics of native haematopoiesis , 2014, Nature.

[25]  Andrew R. Cohen Extracting meaning from biological imaging data , 2014, Molecular biology of the cell.

[26]  Gerald de Haan,et al.  Counting stem cells: methodological constraints , 2012, Nature Methods.

[27]  Philipp S. Hoppe,et al.  Hematopoietic Cytokines Can Instruct Lineage Choice , 2009, Science.

[28]  Philip D. Hodgkin,et al.  A minimum of two distinct heritable factors are required to explain correlation structures in proliferating lymphocytes , 2010, Journal of The Royal Society Interface.

[29]  R. Krumlauf,et al.  BAC Modification through Serial or Simultaneous Use of CRE/Lox Technology , 2010, Journal of biomedicine & biotechnology.

[30]  T. Schumacher,et al.  The Branching Point in Erythro-Myeloid Differentiation , 2015, Cell.

[31]  P. Hodgkin,et al.  Intracellular competition for fates in the immune system. , 2012, Trends in cell biology.

[32]  Jhagvaral Hasbold,et al.  Activation-Induced B Cell Fates Are Selected by Intracellular Stochastic Competition , 2012, Science.

[33]  P. Quesenberry,et al.  Murine marrow cellularity and the concept of stem cell competition: geographic and quantitative determinants in stem cell biology , 2004, Leukemia.

[34]  Melanie I. Stefan,et al.  Molecules for memory: modelling CaMKII , 2007, BMC Systems Biology.

[35]  L. McGuinness,et al.  A single-cell pedigree analysis of alternative stochastic lymphocyte fates , 2009, Proceedings of the National Academy of Sciences.

[36]  R. W. Draft,et al.  Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system , 2007, Nature.

[37]  Hideo Ema,et al.  Heterogeneity and hierarchy of hematopoietic stem cells. , 2014, Experimental hematology.

[38]  Leonor Saiz,et al.  Inferring the in vivo looping properties of DNA. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[39]  Thomas Höfer,et al.  Disparate Individual Fates Compose Robust CD8+ T Cell Immunity , 2013, Science.

[40]  K. Abremski,et al.  Site-specific recombination by the bacteriophage P1 lox-Cre system. Cre-mediated synapsis of two lox sites. , 1984, Journal of molecular biology.

[41]  Claudiu A. Giurumescu,et al.  Quantitative semi-automated analysis of morphogenesis with single-cell resolution in complex embryos , 2012, Development.

[42]  P. Angrand,et al.  Quantitative comparison of DNA looping in vitro and in vivo: chromatin increases effective DNA flexibility at short distances , 1999, The EMBO journal.

[43]  K. Rajewsky,et al.  Unidirectional Cre-mediated genetic inversion in mice using the mutant loxP pair lox66/lox71. , 2003, Nucleic acids research.

[44]  Charles M. Grinstead,et al.  Introduction to probability , 1999, Statistics for the Behavioural Sciences.

[45]  Rustom Antia,et al.  Estimating the Precursor Frequency of Naive Antigen-specific CD8 T Cells , 2002, The Journal of experimental medicine.

[46]  J. Smith,et al.  Do cells cycle? , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[47]  E. Payen,et al.  Arrayed lentiviral barcoding for quantification analysis of hematopoietic dynamics , 2013, Stem cells.

[48]  Andras Nagy,et al.  Cre recombinase: The universal reagent for genome tailoring , 2000, Genesis.

[49]  A. Zador,et al.  In vivo generation of DNA sequence diversity for cellular barcoding , 2014, bioRxiv.

[50]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[51]  R. Hoess,et al.  Formation of small circular DNA molecules via an in vitro site-specific recombination system. , 1985, Gene.

[52]  Joshua T. Burdick,et al.  A quantitative model of normal Caenorhabditis elegans embryogenesis and its disruption after stress. , 2013, Developmental biology.

[53]  Joshua M. Korn,et al.  Studying clonal dynamics in response to cancer therapy using high-complexity barcoding , 2015, Nature Medicine.

[54]  R. Durbin,et al.  Mapping Quality Scores Mapping Short Dna Sequencing Reads and Calling Variants Using P

, 2022 .

[55]  T. Schumacher,et al.  One naive T cell, multiple fates in CD8+ T cell differentiation , 2010, The Journal of experimental medicine.

[56]  Kutay D Atabay,et al.  Single-cell analysis reveals transcriptional heterogeneity of neural progenitors in human cortex , 2015, Nature Neuroscience.

[57]  S. Linnarsson,et al.  Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq , 2015, Science.

[58]  Max Endele,et al.  Quantitative single-cell approaches to stem cell research. , 2014, Cell stem cell.

[59]  R. Hoess,et al.  Bacteriophage P1 site-specific recombination. II. Recombination between loxP and the bacterial chromosome. , 1981, Journal of molecular biology.