Short-term memory in gene induction reveals the regulatory principle behind stochastic IL-4 expression

Although cell‐to‐cell variability has been recognized as an unavoidable consequence of stochasticity in gene expression, it may also serve a functional role for tuning physiological responses within a cell population. In the immune system, remarkably large variability in the expression of cytokine genes has been observed in homogeneous populations of lymphocytes, but the underlying molecular mechanisms are incompletely understood. Here, we study the interleukin‐4 gene (il4) in T‐helper lymphocytes, combining mathematical modeling with the experimental quantification of expression variability and critical parameters. We show that a stochastic rate‐limiting step upstream of transcription initiation, but acting at the level of an individual allele, controls il4 expression. Only a fraction of cells reaches an active, transcription‐competent state in the transient time window determined by antigen stimulation. We support this finding by experimental evidence of a previously unknown short‐term memory that was predicted by the model to arise from the long lifetime of the active state. Our analysis shows how a stochastic mechanism acting at the chromatin level can be integrated with transcriptional regulation to quantitatively control cell‐to‐cell variability.

[1]  A. Oudenaarden,et al.  Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences , 2008, Cell.

[2]  Andreas Radbruch,et al.  Sequential polarization and imprinting of type 1 T helper lymphocytes by interferon-gamma and interleukin-12. , 2009, Immunity.

[3]  F. Grosveld,et al.  The beta-globin nuclear compartment in development and erythroid differentiation. , 2003, Nature genetics.

[4]  M. Haury,et al.  Stochastic Monoallelic Expression of IL-10 in T Cells1 , 2006, The Journal of Immunology.

[5]  K. Verstrepen,et al.  Timescales of Genetic and Epigenetic Inheritance , 2007, Cell.

[6]  R M Locksley,et al.  Independent and epigenetic regulation of the interleukin-4 alleles in CD4+ T cells. , 1998, Science.

[7]  D. Littman,et al.  Regulation of IL-4 expression by activation of individual alleles. , 1998, Immunity.

[8]  D. Hume,et al.  Probability in transcriptional regulation and its implications for leukocyte differentiation and inducible gene expression. , 2000, Blood.

[9]  D. Thanos,et al.  Virus Infection Induces NF-κB-Dependent Interchromosomal Associations Mediating Monoallelic IFN-β Gene Expression , 2008, Cell.

[10]  C Terhorst,et al.  Monoallelic expression of the interleukin-2 locus. , 1998, Science.

[11]  A. Rao,et al.  Molecular analysis of a locus control region in the T helper 2 cytokine gene cluster: a target for STAT6 but not GATA3. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Andreas Radbruch,et al.  Instruction for Cytokine Expression in T Helper Lymphocytes in Relation to Proliferation and Cell Cycle Progression , 1999, The Journal of experimental medicine.

[13]  Ertugrul M. Ozbudak,et al.  Regulation of noise in the expression of a single gene , 2002, Nature Genetics.

[14]  W. Paul,et al.  CD4 T cells: fates, functions, and faults. , 2008, Blood.

[15]  T. Elston,et al.  Stochasticity in gene expression: from theories to phenotypes , 2005, Nature Reviews Genetics.

[16]  T. Misteli,et al.  Mobility and immobility of chromatin in transcription and genome stability. , 2007, Current opinion in genetics & development.

[17]  Bogdan Tanasa,et al.  Regulation of Th2 differentiation and Il4 locus accessibility. , 2006, Annual review of immunology.

[18]  D. Corry,et al.  Toward a comprehensive understanding of allergic lung disease. , 2009, Transactions of the American Clinical and Climatological Association.

[19]  P. Hogan,et al.  Transcription factors of the NFAT family: regulation and function. , 1997, Annual review of immunology.

[20]  A. Raina,et al.  The role of cell cycle‐mediated events in Alzheimer's disease , 1999, International journal of experimental pathology.

[21]  M. Thattai,et al.  Intrinsic noise in gene regulatory networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[22]  T. Mosmann,et al.  Polarized expression of cytokines in cell conjugates of helper T cells and splenic B cells. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[23]  W. Paul,et al.  Probabilistic regulation of IL-4 production in Th2 cells: accessibility at the Il4 locus. , 2004, Immunity.

[24]  Hannah H. Chang,et al.  Transcriptome-wide noise controls lineage choice in mammalian progenitor cells , 2008, Nature.

[25]  Claude Desplan,et al.  Stochasticity and Cell Fate , 2008, Science.

[26]  A. Rao,et al.  Cell-type-restricted binding of the transcription factor NFAT to a distal IL-4 enhancer in vivo. , 2000, Immunity.

[27]  R. Locksley,et al.  Coordinate Regulation of the IL-4, IL-13, and IL-5 Cytokine Cluster in Th2 Clones Revealed by Allelic Expression Patterns1 , 2000, The Journal of Immunology.

[28]  J. Raser,et al.  Control of Stochasticity in Eukaryotic Gene Expression , 2004, Science.

[29]  Andreas Radbruch,et al.  Interferons direct Th2 cell reprogramming to generate a stable GATA-3(+)T-bet(+) cell subset with combined Th2 and Th1 cell functions. , 2010, Immunity.

[30]  C. Loddenkemper,et al.  Autoregulation of Th1-mediated inflammation by twist1 , 2008, The Journal of experimental medicine.

[31]  Jason R. Pirone,et al.  Fluctuations in transcription factor binding can explain the graded and binary responses observed in inducible gene expression. , 2004, Journal of theoretical biology.

[32]  A. van Oudenaarden,et al.  Noise Propagation in Gene Networks , 2005, Science.

[33]  R. Germain,et al.  Variability and Robustness in T Cell Activation from Regulated Heterogeneity in Protein Levels , 2008, Science.

[34]  B. Séraphin,et al.  Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion , 2001, The EMBO journal.

[35]  E. Cox,et al.  Real-Time Kinetics of Gene Activity in Individual Bacteria , 2005, Cell.

[36]  Jeffrey W. Smith,et al.  Stochastic Gene Expression in a Single Cell , 2022 .

[37]  J. Paulsson Summing up the noise in gene networks , 2004, Nature.

[38]  V. Maino,et al.  Heterogeneity of intracellular cytokine synthesis at the single-cell level in polarized T helper 1 and T helper 2 populations , 1995, The Journal of experimental medicine.

[39]  T. Kohwi-Shigematsu,et al.  SATB1 packages densely looped, transcriptionally active chromatin for coordinated expression of cytokine genes , 2006, Nature Genetics.

[40]  Andreas Radbruch,et al.  GATA-3 transcriptional imprinting in Th2 lymphocytes: A mathematical model , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Lin Chen,et al.  Transcriptional regulation by calcium, calcineurin, and NFAT. , 2003, Genes & development.

[42]  D. Tranchina,et al.  Stochastic mRNA Synthesis in Mammalian Cells , 2006, PLoS biology.

[43]  Anjana Rao,et al.  TH cell differentiation is accompanied by dynamic changes in histone acetylation of cytokine genes , 2002, Nature Immunology.

[44]  Andreas Radbruch,et al.  Detection and Isolation of Cytokine Secreting Cells Using the Cytometric Cytokine Secretion Assay , 2001, Current protocols in immunology.

[45]  Richard A Flavell,et al.  Long-range intrachromosomal interactions in the T helper type 2 cytokine locus , 2004, Nature Immunology.

[46]  A Radbruch,et al.  Stat6-independent GATA-3 autoactivation directs IL-4-independent Th2 development and commitment. , 2000, Immunity.

[47]  M. Groudine,et al.  Enhancers increase the probability but not the level of gene expression. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[48]  G. Crabtree,et al.  Cell signaling can direct either binary or graded transcriptional responses , 2001, The EMBO journal.

[49]  G. Hunninghake,et al.  Early Exposure to IL-4 Stabilizes IL-4 mRNA in CD4+ T Cells via RNA-Binding Protein HuR1 , 2006, The Journal of Immunology.

[50]  A. E. Hirsh,et al.  Noise Minimization in Eukaryotic Gene Expression , 2004, PLoS biology.

[51]  P. Hogan,et al.  T-cell receptor stimulation elicits an early phase of activation and a later phase of deactivation of the transcription factor NFAT1 , 1996, Molecular and cellular biology.

[52]  Andreas Radbruch,et al.  A Critical Control Element for Interleukin-4 Memory Expression in T Helper Lymphocytes* , 2005, Journal of Biological Chemistry.

[53]  E. O’Shea,et al.  Noise in protein expression scales with natural protein abundance , 2006, Nature Genetics.

[54]  Dorothea Busse,et al.  Competing feedback loops shape IL-2 signaling between helper and regulatory T lymphocytes in cellular microenvironments , 2010, Proceedings of the National Academy of Sciences.

[55]  R. Singer,et al.  Transcriptional Pulsing of a Developmental Gene , 2006, Current Biology.

[56]  R. Milo,et al.  Variability and memory of protein levels in human cells , 2006, Nature.

[57]  C. E. Schrader,et al.  Mechanism and regulation of class switch recombination. , 2008, Annual review of immunology.

[58]  L. Mahadevan,et al.  Transcription: MAPK-regulated transcription: a continuously variable gene switch? , 2002, Nature Reviews Molecular Cell Biology.

[59]  S. Lomvardas,et al.  Modifying Gene Expression Programs by Altering Core Promoter Chromatin Architecture , 2002, Cell.

[60]  Andreas Radbruch,et al.  Regulation of expression of IL-4 alleles: analysis using a chimeric GFP/IL-4 gene. , 2001, Immunity.

[61]  Mads Kærn,et al.  Noise in eukaryotic gene expression , 2003, Nature.