System-wide Analysis of the T Cell Response

Slides:



Advertisements
Similar presentations
Volume 44, Issue 1, Pages (January 2016)
Advertisements

Design and Analysis of Single-Cell Sequencing Experiments
Analysis of Double-Stranded RNA from Microbial Communities Identifies Double- Stranded RNA Virus-like Elements  Carolyn J. Decker, Roy Parker  Cell Reports 
Alternative Computational Analysis Shows No Evidence for Nucleosome Enrichment at Repetitive Sequences in Mammalian Spermatozoa  Hélène Royo, Michael Beda.
Methodologic Considerations in the Application of Next-Generation Sequencing of Human TRB Repertoires for Clinical Use  Liwen Xu, Xiaoqing You, PingPing.
Volume 19, Issue 7, Pages (May 2017)
Volume 19, Issue 3, Pages (April 2017)
Tiago R. Matos, Menno A. de Rie, Marcel B.M. Teunissen 
Jianbin Wang, H. Christina Fan, Barry Behr, Stephen R. Quake  Cell 
Volume 12, Issue 10, Pages (September 2015)
Volume 6, Issue 5, Pages e5 (May 2018)
Volume 8, Issue 5, Pages (September 2014)
Noninvasive Molecular Monitoring in Multiple Myeloma Patients Using Cell-Free Tumor DNA  Giulia Biancon, Silvia Gimondi, Antonio Vendramin, Cristiana.
Condensin Smc2-Smc4 Dimers Are Flexible and Dynamic
Volume 5, Issue 6, Pages (December 2013)
Volume 24, Issue 4, Pages (July 2018)
Volume 84, Issue 2, Pages (October 2014)
Antigen-specific TCRβ clonotypes map to the TCRβ repertoire at markedly different frequencies. Antigen-specific TCRβ clonotypes map to the TCRβ repertoire.
Volume 14, Issue 11, Pages (March 2016)
Molecular Therapy - Methods & Clinical Development
Volume 6, Issue 3, Pages (February 2014)
Volume 38, Issue 2, Pages (February 2013)
J. Joseph Melenhorst, Phillip Scheinberg, Ann Williams, David R
Volume 4, Issue 1, Pages (January 1996)
Touch Receptors Undergo Rapid Remodeling in Healthy Skin
Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation  Matthew J. Greene, Jinseop S.
Volume 23, Issue 4, Pages (April 2018)
Volume 25, Issue 6, Pages e4 (November 2018)
Transcriptional Landscape of Cardiomyocyte Maturation
Evolutionary Rewiring of Human Regulatory Networks by Waves of Genome Expansion  Davide Marnetto, Federica Mantica, Ivan Molineris, Elena Grassi, Igor.
Volume 24, Issue 8, Pages (August 2018)
Yeast Replicator: A High-Throughput Multiplexed Microfluidics Platform for Automated Measurements of Single-Cell Aging  Ping Liu, Thomas Z. Young, Murat.
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Genome Engineering with CRISPR-Cas9 in the Mosquito Aedes aegypti
Patterns of Somatically Acquired Amplifications and Deletions in Apparently Normal Tissues of Ovarian Cancer Patients  Leila Aghili, Jasmine Foo, James.
Volume 11, Issue 4, Pages (April 2018)
Volume 11, Issue 5, Pages (May 2015)
Joseph Rodriguez, Jerome S. Menet, Michael Rosbash  Molecular Cell 
Volume 14, Issue 6, Pages (February 2016)
Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways  Nathan Archer, Mark D. Walsh, Vahid Shahrezaei,
Molecular Therapy - Methods & Clinical Development
Daniel F. Tardiff, Scott A. Lacadie, Michael Rosbash  Molecular Cell 
Andrew R. Bassett, Charlotte Tibbit, Chris P. Ponting, Ji-Long Liu 
Peter A. Savage, Mark M. Davis  Immunity 
Antigenic Variation in the Lyme Spirochete: Insights into Recombinational Switching with a Suggested Role for Error-Prone Repair  Theodore B. Verhey,
Integration Trumps Selection in Object Recognition
Natalja Gavrilov, Steffen R. Hage, Andreas Nieder  Cell Reports 
Volume 10, Issue 5, Pages (May 2012)
Volume 8, Issue 3, Pages (March 2015)
Volume 128, Issue 6, Pages (March 2007)
Volume 10, Issue 9, Pages (March 2015)
Volume 20, Issue 6, Pages (August 2017)
Jong-Eun Park, Hyerim Yi, Yoosik Kim, Hyeshik Chang, V. Narry Kim 
Volume 11, Issue 11, Pages (June 2015)
A DNA Replication Mechanism for Generating Nonrecurrent Rearrangements Associated with Genomic Disorders  Jennifer A. Lee, Claudia M.B. Carvalho, James.
Volume 23, Issue 3, Pages (April 2018)
Cécile Bouneaud, Philippe Kourilsky, Philippe Bousso  Immunity 
ADAR Regulates RNA Editing, Transcript Stability, and Gene Expression
Volume 6, Issue 3, Pages (February 2014)
Movement Repetition Facilitates Response Preparation
Volume 24, Issue 8, Pages e6 (August 2018)
Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways  Nathan Archer, Mark D. Walsh, Vahid Shahrezaei,
Patterns of Somatically Acquired Amplifications and Deletions in Apparently Normal Tissues of Ovarian Cancer Patients  Leila Aghili, Jasmine Foo, James.
Clonotypic heterogeneity in cutaneous T-cell lymphoma (mycosis fungoides) revealed by comprehensive whole-exome sequencing by Aishwarya Iyer, Dylan Hennessey,
Volume 41, Issue 2, Pages (January 2011)
Volume 9, Issue 2, Pages (August 1998)
Volume 16, Issue 6, Pages (August 2016)
Volume 11, Issue 7, Pages (May 2015)
Volume 28, Issue 5, Pages (May 2008)
Volume 26, Issue 11, Pages e3 (March 2019)
Presentation transcript:

System-wide Analysis of the T Cell Response Ruxandra Covacu, Hagit Philip, Merja Jaronen, Jorge Almeida, Jessica E. Kenison, Samuel Darko, Chun-Cheih Chao, Gur Yaari, Yoram Louzoun, Liran Carmel, Daniel C. Douek, Sol Efroni, Francisco J. Quintana  Cell Reports  Volume 14, Issue 11, Pages 2733-2744 (March 2016) DOI: 10.1016/j.celrep.2016.02.056 Copyright © 2016 The Authors Terms and Conditions

Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 1 Sequencing of the Zebrafish TCR Repertoire (A) Flow diagram of the experimental protocols used to sequence the zebrafish TCRβ1 (and TCRα) repertoire. mRNA was purified from whole zebrafish, each fish separately. The RT was performed using an oligo dT primer, and the 5′RACE was obtained using oligonucleotide IIA (IIA Oligo). The library amplification was done using a primer specific for the Cβ1 or Cα region (Cβ1/α region primer) and a primer complementary to IIA Oligo (5′ PCR primer IIA). The library was gel purified and barcodes were added. The library was quantified and sequenced. (B) Verification of TCRβ1 sequences obtained after the library amplification step. There were five clones that were sequenced and the top hits of the blasted sequences are presented. (C) Rarefaction analysis of TCRβ1 D. Each curve gives the fraction of the observed repertoire as a function of the number of obtained sequences in each of ten naive (non-immunized) fish. The dotted line indicates the point at which all fish reach 99% coverage of the total unique sequences, corresponding to 35,000 sequences. (D) Number of unique clones in ten naive fish and ten simulated repertoires. The circle indicates the median. The small number of sequences in the simulated repertoire results form adherence to the distribution of clones within each fish. The abundance of specific clones (learned from the natural occurring repertoire in the naive fish) dictates a distribution with a few highly represented clones. (E) Heatmaps of V and J combination abundance in the total and the unique repertoire of naive zebrafish. The data are segregated based on the usage of the D segment. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 2 Convergent Recombination Characterizes Public TCR Clones that Dominate the Zebrafish TCRβ1 Repertoire (A) Observed and predicted public and private TCRβ1 sequences in naive fish. (B) Recombination events in the private and in the public TCRβ1 repertoires and their association with their sharing. The height of the histogram bars represents the frequency of the clone in the pooled repertoire (red, public and blue, private). (C) Statistical analysis of recombination events in public and private TCRβ1 clones (∗∗∗∗p < 1 × 10−12). (D) Distribution of CDR3 lengths in the private and public TCRβ1 clones. (E) Fraction of public and private TCRβ1 clones within the unique TCRβ1 repertoire. The fraction of sequences generated by convergent recombination is shown (∗∗p < 0.01). Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 3 Public Clones Dominate the TCRβ1 Repertoire (A) Relationship between sequence sharing between different individuals and the number of copies of each TCRβ1 clone. The orange dot for each sharing level gives the average frequency of clones at that specific sharing level. (B and C) Contribution of private, general public, and special public sequences to the unique (B) and total (C) TCRβ1 repertoire following immunization with KLH, CALM, or polyclonal stimulation with PHA. (D and E) Sharing of TCRβ1 sequences between the different groups. Each group occupies the same fraction of the circle, regardless of repertoire size, while in (E), each sequence occupies the same portion of the circle. The circle is colored based on whether the TCRβ1 clone is private (blue), special public (red), or general public (green). The edges represent sequences shared between each two groups. (F and G) Fraction of TCRβ1 clones generated by convergent recombination in the unique repertoire (F) and the total (G) TCRβ1 public repertoire. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 4 Origin of General Public TCRβ1 Clones (A) TCRβ1 general public sequences in the naive repertoire, ranked according to their frequency. The lower images show general public sequences in the TCRβ1 repertoire of fish in the PHA, KLH, and CALM groups. (B) To analyze the origin of general public sequences detected in the immunized repertoire, sequences were classified in the naive TCRβ1 repertoire into low-, mid-, and high-abundant clones and then quantified for the fraction of these groups in the immunized repertoire. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 5 Time Course Analysis of the TCRβ1 Repertoire Changes in the private, general public, and special public fractions of the TCRβ1 repertoire following treatment with PHA or immunization with KLH or CALM. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 6 The Zebrafish TCRα Repertoire (A) Verification of TCRα sequences obtained after library amplification, five clones were sequenced, and the top hits of the blasted sequences are presented in the table. (B) Relationship between sequence sharing and the number of copies of each TCRα clone. The orange dot for each sharing level gives the average frequency of clones at that specific sharing level. (C and D) Effect of PHA administration or immunization with KLH or CALM in the private, general public, and special public fractions of the unique (C) and total (D) TCRα repertoire. (E and F) Frequency of clones generated by CR in the unique (E) and total (F) TCRα repertoire following PHA administration or immunization with KLH or CALM. (G and H) Fraction of CR and non-CR clones in the general public and special public unique (G) and total TCRα repertoire (H). (I and J) Fractions of private, general public, and special public clones within CR and non-CR clones in the unique (I) and total (J) TCRα repertoire. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions

Figure 7 A Computational Model of the TCRαβ Repertoire The horizontal axis represents TCRβ1 chains, while the vertical axis represents TCRα chains. Each blue square in the figure represents a potential TCRαβ pair. Cell Reports 2016 14, 2733-2744DOI: (10.1016/j.celrep.2016.02.056) Copyright © 2016 The Authors Terms and Conditions