Abstract
Antibody affinity maturation occurs in germinal centers (GCs), where B cells cycle between the light zone (LZ) and the dark zone. In the LZ, GC B cells bearing immunoglobulins with the highest affinity for antigen receive positive selection signals from helper T cells, which promotes their rapid proliferation. Here we found that the RNA-binding protein PTBP1 was needed for the progression of GC B cells through late S phase of the cell cycle and for affinity maturation. PTBP1 was required for proper expression of the c-MYC-dependent gene program induced in GC B cells receiving T cell help and directly regulated the alternative splicing and abundance of transcripts that are increased during positive selection to promote proliferation.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Mesin, L., Ersching, J. & Victora, G. D. Germinal center B cell dynamics. Immunity 45, 471–482 (2016).
Bannard, O. & Cyster, J. G. Germinal centers: programmed for affinity maturation and antibody diversification. Curr. Opin. Immunol. 45, 21–30 (2017).
Gitlin, A. D. et al. Humoral immunity. T cell help controls the speed of the cell cycle in germinal center B cells. Science 349, 643–646 (2015).
Gitlin, A. D., Shulman, Z. & Nussenzweig, M. C. Clonal selection in the germinal centre by regulated proliferation and hypermutation. Nature 509, 637–640 (2014).
Calado, D. P. et al. The cell-cycle regulator c-Myc is essential for the formation and maintenance of germinal centers. Nat. Immunol. 13, 1092–1100 (2012).
Dominguez-Sola, D. et al. The proto-oncogene MYC is required for selection in the germinal center and cyclic reentry. Nat. Immunol. 13, 1083–1091 (2012).
Chou, C. et al. The transcription factor AP4 mediates resolution of chronic viral infection through amplification of germinal center B cell responses. Immunity 45, 570–582 (2016).
Ersching, J. et al. Germinal Center selection and affinity maturation require dynamic regulation of mTORC1 kinase. Immunity 46, 1045–1058 (2017).
Sander, S. et al. PI3 kinase and FOXO1 transcription factor activity differentially control b cells in the germinal center light and dark zones. Immunity 43, 1075–1086 (2015).
Dominguez-Sola, D. et al. The FOXO1 transcription factor instructs the germinal center dark zone program. Immunity 43, 1064–1074 (2015).
Inoue, T. et al. The transcription factor Foxo1 controls germinal center B cell proliferation in response to T cell help. J. Exp. Med. 214, 1181–1198 (2017).
Martinez, N. M. & Lynch, K. W. Control of alternative splicing in immune responses: many regulators, many predictions, much still to learn. Immunol. Rev. 253, 216–236 (2013).
Schaub, A. & Glasmacher, E. Splicing in immune cells-mechanistic insights and emerging topics. Int. Immunol. 29, 173–181 (2017).
Diaz-Muñoz, M. D. et al. The RNA-binding protein HuR is essential for the B cell antibody response. Nat. Immunol. 16, 415–425 (2015).
Chang, X., Li, B. & Rao, A. RNA-binding protein hnRNPLL regulates mRNA splicing and stability during B-cell to plasma-cell differentiation. Proc. Natl Acad. Sci. USA 112, E1888–E1897 (2015).
Berkovits, B. D. & Mayr, C. Alternative 3′ UTRs act as scaffolds to regulate membrane protein localization. Nature 522, 363–367 (2015).
Pioli, P. D., Debnath, I., Weis, J. J. & Weis, J. H. Zfp318 regulates IgD expression by abrogating transcription termination within the Ighm/Ighd locus. J. Immunol. 193, 2546–2553 (2014).
Keppetipola, N., Sharma, S., Li, Q. & Black, D. L. Neuronal regulation of pre-mRNA splicing by polypyrimidine tract binding proteins, PTBP1 and PTBP2. Crit. Rev. Biochem. Mol. Biol. 47, 360–378 (2012).
Sawicka, K., Bushell, M., Spriggs, K. A. & Willis, A. E. Polypyrimidine-tract-binding protein: a multifunctional RNA-binding protein. Biochem. Soc. Trans. 36, 641–647 (2008).
Gooding, C., Kemp, P. & Smith, C. W. J. A novel polypyrimidine tract-binding protein paralog expressed in smooth muscle cells. J. Biol. Chem. 278, 15201–15207 (2003).
Baralle, F. E. & Giudice, J. Alternative splicing as a regulator of development and tissue identity. Nat. Rev. Mol. Cell. Biol. 18, 437–451 (2017).
Tan, L.-Y. et al. Generation of functionally distinct isoforms of PTBP3 by alternative splicing and translation initiation. Nucleic Acids Res. 43, 5586–5600 (2015).
Knoch, K.-P. et al. Polypyrimidine tract-binding protein promotes insulin secretory granule biogenesis. Nat. Cell. Biol. 6, 207–214 (2004).
Knoch, K.-P. et al. PTBP1 is required for glucose-stimulated cap-independent translation of insulin granule proteins and coxsackieviruses in beta cells. Mol. Metab. 3, 518–530 (2014).
Vavassori, S., Shi, Y., Chen, C. C., Ron, Y. & Covey, L. R. In vivo post-transcriptional regulation of CD154 in mouse CD4+ T cells. Eur. J. Immunol. 39, 2224–2232 (2009).
Porter, J. F., Vavassori, S. & Covey, L. R. A polypyrimidine tract-binding protein-dependent pathway of mRNA stability initiates with CpG activation of primary B cells. J. Immunol. 181, 3336–3345 (2008).
Boutz, P. L. et al. A post-transcriptional regulatory switch in polypyrimidine tract-binding proteins reprograms alternative splicing in developing neurons. Genes. Dev. 21, 1636–1652 (2007).
David, C. J., Chen, M., Assanah, M., Canoll, P. & Manley, J. L. HnRNP proteins controlled by c-Myc deregulate pyruvate kinase mRNA splicing in cancer. Nature 463, 364–368 (2010).
Sabò, A. et al. Selective transcriptional regulation by Myc in cellular growth control and lymphomagenesis. Nature 511, 488–492 (2014).
Suckale, J. et al. PTBP1 is required for embryonic development before gastrulation. PLoS One 6, e16992 (2011).
Spellman, R., Llorian, M. & Smith, C. W. J. Crossregulation and functional redundancy between the splicing regulator PTB and its paralogs nPTB and ROD1. Mol. Cell. 27, 420–434 (2007).
Vuong, J. K. et al. PTBP1 and PTBP2 serve both specific and redundant functions in neuronal pre-mRNA splicing. Cell Rep. 17, 2766–2775 (2016).
Victora, G. D. et al. Identification of human germinal center light and dark zone cells and their relationship to human B-cell lymphomas. Blood 120, 2240–2248 (2012).
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell. Syst. 1, 417–425 (2015).
Zeman, M. K. & Cimprich, K. A. Causes and consequences of replication stress. Nat. Cell. Biol. 16, 2–9 (2014).
Dayton, T. L., Jacks, T. & Vander Heiden, M. G. PKM2, cancer metabolism, and the road ahead. EMBO Rep. 17, 1721–1730 (2016).
La Porta, J., Matus-Nicodemos, R., Valentín-Acevedo, A. & Covey, L. R. The RNA-binding protein, polypyrimidine tract-binding protein 1 (PTBP1) is a key regulator of CD4 T cell activation. PLoS One 11, e0158708 (2016).
Shibayama, M. et al. Polypyrimidine tract-binding protein is essential for early mouse development and embryonic stem cell proliferation. FEBS J. 276, 6658–6668 (2009).
Boothby, M. & Rickert, R. C. Metabolic regulation of the immune humoral response. Immunity 46, 743–755 (2017).
Chan, L. N. et al. Metabolic gatekeeper function of B-lymphoid transcription factors. Nature 542, 479–483 (2017).
Suzuki, K., Kumanogoh, A. & Kikutani, H. Semaphorins and their receptors in immune cell interactions. Nat. Immunol. 9, 17–23 (2008).
Jung, C.-R. et al. Enigma negatively regulates p53 through MDM2 and promotes tumor cell survival in mice. J. Clin. Invest. 120, 4493–4506 (2010).
Dufort, F. J. et al. Glucose-dependent de novo lipogenesis in B lymphocytes: a requirement for ATP-citrate lyase in lipopolysaccharide-induced differentiation. J. Biol. Chem. 289, 7011–7024 (2014).
Hann, S. R. MYC cofactors: molecular switches controlling diverse biological outcomes. Cold Spring Harb. Perspect. Med. 4, a014399 (2014).
Cortés, M. & Georgopoulos, K. Aiolos is required for the generation of high affinity bone marrow plasma cells responsible for long-term immunity. J. Exp. Med. 199, 209–219 (2004).
Quéméneur, L. et al. Differential control of cell cycle, proliferation, and survival of primary T lymphocytes by purine and pyrimidine nucleotides. J. Immunol. 170, 4986–4995 (2003).
Ke, Y., Ash, J. & Johnson, L. F. Splicing signals are required for S-phase regulation of the mouse thymidylate synthase gene. Mol. Cell. Biol. 16, 376–383 (1996).
Nowak, U., Matthews, A. J., Zheng, S. & Chaudhuri, J. The splicing regulator PTBP2 interacts with the cytidine deaminase AID and promotes binding of AID to switch-region DNA. Nat. Immunol. 12, 160–166 (2011).
Hogenbirk, M. A. et al. Differential programming of B cells in AID deficient mice. PLoS One 8, e69815 (2013).
Li, Q. et al. The splicing regulator PTBP2 controls a program of embryonic splicing required for neuronal maturation. eLife 3, e01201 (2014).
Hobeika, E. et al. Testing gene function early in the B cell lineage in mb1-cre mice. Proc. Natl Acad. Sci. USA 103, 13789–13794 (2006).
Kwon, K. et al. Instructive role of the transcription factor E2A in early B lymphopoiesis and germinal center B cell development. Immunity 28, 751–762 (2008).
Huang, C.-Y., Bredemeyer, A. L., Walker, L. M., Bassing, C. H. & Sleckman, B. P. Dynamic regulation of c-Myc proto-oncogene expression during lymphocyte development revealed by a GFP-c-Myc knock-in mouse. Eur. J. Immunol. 38, 342–349 (2008).
Shinkai, Y. et al. RAG-2-deficient mice lack mature lymphocytes owing to inability to initiate V(D)J rearrangement. Cell 68, 855–867 (1992).
Anastasiou, D. et al. Pyruvate kinase M2 activators promote tetramer formation and suppress tumorigenesis. Nat. Chem. Biol. 8, 839–847 (2012).
König, J. et al. iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat. Struct. Mol. Biol. 17, 909–915 (2010).
Kim, D., Langmead, B. & Salzberg, S. L. HISAT: a fast spliced aligner with low memory requirements. Nat. Methods 12, 357–360 (2015).
Anders, S., Pyl, P. T. & Huber, W. HTSeq-a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015).
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).
Shen, S. et al. rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data. Proc. Natl Acad. Sci. USA 111, E5593–E5601 (2014).
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
Xia, Z. et al. Dynamic analyses of alternative polyadenylation from RNA-seq reveal a 3′-UTR landscape across seven tumour types. Nat. Commun. 5, 5274 (2014).
Kim, D. et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14, R36 (2013).
Trapnell, C. et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat. Protoc. 7, 562–578 (2012).
Eden, E., Navon, R., Steinfeld, I., Lipson, D. & Yakhini, Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinforma. 10, 48 (2009).
Acknowledgements
We thank D. L. Black (Brain Research Institute, University of California) for Ptbp2fl/fl mice; M. Reth (Max Planck Institute of Immunobiology and Epigenetics) for Cd79aCre mice; M. Busslinger (Research Institute of Molecular Pathology) for AicdaTg-Cre mice; B. P. Sleckman (Weill Cornell Medicine Pathology & Laboratory Medicine) for MycGFP/GFP mice; F. W. Alt (Department of Genetics, Harvard Medical School) for Rag2–/– mice; J. Ule, N. Haberman and T. Curk for help with iCLIP data; G. Butcher for assistance in generating monoclonal antibodies to PTBP3; K. Bates, D. Sanger, A. Davis, the Biological Support Unit, Flow Cytometry and Bioinformatics Facilities for technical assistance; and M. Spivakov and members of the Turner and Smith laboratories for helpful discussions. Supported by The Biotechnology and Biological Sciences Research Council (BB/J004472/1 and BB/J00152X/1 to M.T.), the Wellcome Trust (200823/Z/16/Z to M.T.) and Bloodwise (14022 to M.T.).
Author information
Authors and Affiliations
Contributions
E.M.-C., C.W.J.S. and M.T. designed experiments; E.M.-C., M. Screen, M.D.D.-M., S.E.B. and G.L. performed experiments and analyzed data; E.M.-C. carried out computational analyses; R.M.R.C. ran DaPars; M. Solimena provided Ptbp1tm1Msol mice and antibody to PTBP2; and E.M.-C. and M.T. wrote the manuscript with input from the co-authors.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Integrated supplementary information
Supplementary Figure 1 PTBPs expression in GC B cells.
(a) FPKMs of Ptbps in naïve and GC B cells49. Comparison of naive B cells to GC B cells (with DESeq2) revealed significant differences for Ptbp1 (padj <0.05), but not for Ptbp2 (0.19 padj) or Ptbp3 (0.78 padj). (b) Sashimi plots illustrating reads that map to exon-exon junctions (arches) and read coverage for the different Ptbps in mRNAseq data from naïve and GC B cells shown in a. Numbers above the arches show the number of reads mapping across two different exons. Numbers on the right in brackets are the maximum number of reads mapped to a particular genomic location. (c) FPKMs of the different Ptbps in GC B cells, which had received high levels of T cell help (Anti-DEC-OVA) or not (Anti-DEC-Ctrl)3. Comparison between GC B cells that received high levels of help to those that did not with DESeq2 resulted in 0.57, 0.99 and 0.99 padj values for Ptbp1, Ptbp2 and Ptbp3, respectively. (d) FPKMs of the different Ptbps in LZ and DZ GC B cell populations that are expressing or not c-MYC and AP47. Differential expression analysis of Ptbp1 and Ptbp3 is shown in Fig. 1a. For a, c and d, Smptb has two annotated gene copies in the Ensembl mouse genome (ENSMUSG00000083939 and ENSMUSG00000081486). No reads were found mapped to either of them. (e) Gating strategy used to identify GC B cells by flow cytometry from the spleen of mice immunised with NP-KLH (7 days post-immunisation) shown in Fig. 1b. (f) Flow cytometry histogram overlays show staining of the different PTBPs and respective isotype control stainings for GC and non-GC B cells shown in e and Fig. 1b.
Supplementary Figure 2 PTBPs expression in B cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice.
(a) PTBP1, PTBP2 and PTBP3 protein expression in splenic B cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice analysed by immunoblot. Numbers indicate proteins isolated from B cells of different mice. Names in brackets are the clone names for the different antibodies used. (b) Flow cytometry analysis of PTBP1, PTBP2 and PTBP3 in T (TCRβ+) and B (CD19+) cells using the antibodies shown in a. (c) Gating strategy used to identify developing B cells in bone marrow cells by flow cytometry shown in d. The first plots on the left were pre-gated on CD11b-, Gr1-, Ly6c-, F4/80-, CD8a-, CD3e- and Ter119- live cells. (d) PTBP1 and PTBP2 intracellular staining in the different populations of developing B cells shown in c. (e) Number of pre-pro B cells (B220low, surface IgM-, CD43high, CD25low, CD19-), pro/early pre B cells (B220low, surface IgM-, CD43high, CD25low, CD19+), pre B cells (B220low, surface IgM-, CD43low, CD25high, CD19+), immature B cells (B220low, surface IgM+) and mature B cells (B220high, surface IgM+) in bone marrows from control (Cd79a+/+Ptbp1fl/fl) and cKO (Cd79acre/+Ptbp1fl/fl) mice. Each symbol is data from an individual mouse. An unpaired two-tailed Student’s t-test was carried out and p-values are shown. (f) Number of T1 (B220+, CD19+, CD93high, IgMhigh and CD23-), T2 (B220+, CD19+, CD93high, IgMhigh and CD23+), T3 (B220+, CD19+, CD93high, IgMlow and CD23+), follicular (B220+, CD19+, CD93low, CD23high and CD21low) and marginal zone (B220+, CD19+, CD93low, CD23low and CD21high) B cells in the spleens of Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice. Each symbol is data from an individual mouse. P-values from unpaired two-tailed Student’s t-test are shown.
Supplementary Figure 3 Effects of Ptbp1 deletion in GC B cells.
(a) Percentages of PTBP1 or PTBP2 positive GC (CD95+ CD38low B220+ CD19+) or non GC B (CD95- CD38high B220+ CD19+) cells analysed by flow cytometry from splenocytes of mice 7 days following immunisation with NP-KLH. The same number of events is shown in each dot plot. Numbers are percentages of gated cells. (b) Flow cytometry analysis of splenocytes 7 days after immunisation with NP-KLH. Events shown in upper pseudocolour plots are gated on B220+CD4-CD8a-CD11b- cells. (c) Percentages and numbers of GC B cells, DZ and LZ GC B cells identified as shown in b. Each symbol shows data from an individual mouse. (d) Flow cytometry of splenocytes. NP-KLH of B6.SJL mice reconstituted with bone marrow cells from B6.SJL and Cd79a+/+Ptbp1fl/fl or Cd79acre/+Ptbp1fl/fl mice at a 1:1 ratio were immunised with NP-KLH (day 7 post immunisation). Upper plots show pre-gated CD45.2+ or CD45.2- B cells (B220+, CD4-, CD8α- and CD11b-). Numbers in cytometry plots are percentages. (e) Percentages of cells shown in d. Dots shown in bar graphs represent data from individual mice. (f) Anti-NP20 (high + low affinity) or anti-NP2 (high affinity only) IgG1 end-point titres measured by ELISA in the sera of mice 42 days following immunization with NP-KLH. (g) High affinity (NP2) vs. high and low affinity (NP20) anti-NP IgG1 ratio calculated from the data shown in f. (h) Flow cytometry analysis of IgG1+ GC B cells (CD95+CD38lowB220+) from spleens of Cd79acre/+Ptbp1fl/fl or Cd79a+/+Ptbp1fl/fl mice immunised with NP-KLH 7 days previously. Histograms show GC B cells from two representative animals. Dots in bar graphs represent individual animals from the same experiment. (i) Proportion of cDNA clones containing mutated JH4 intronic regions. Genomic DNA was isolated from FACS-sorted GC B cells from Cd79acre/+Ptbp1fl/fl or Cd79a+/+Ptbp1fl/fl mice immunised with NP-KLH (day 7). Numbers in the centre of the graphs show the number of individual clones analysed pooled from two independent experiments. (j) Mutation frequencies in the JH4 intronic region calculated from the data shown in i.The two independent experiments are shown with individual points. (k) Numbers of GC B cells (CD19+ CD38low CD95+), LZ (CD86high CXCR4low), and DZ (CD86low CXCR4high) GC B cells from spleens of mice immunised with SRBCs (day 8). Dots show data from individual mice. In c,e-h,j and k bar graphs show the mean and P-values from unpaired two-tailed Student’s t-test are shown for the comparisons indicated.
Supplementary Figure 4 Ptbp1 deletion results in changes in mRNA abundance and alternative splicing.
(a) MA plots showing genes with different (padj <0.1) mRNA abundance when LZ GC B cells are compared to DZ GC B cells in control Cd79a+/+Ptbp1fl/fl or Cd79acre/+Ptbp1fl/fl cKO mice. Grey dots are all the genes with different mRNA abundance (padj <0.1). Blue dots are those genes that have different mRNA abundance in our mRNAseq libraries and were increased in LZ GC B cells compared to DZ GC B cells in the study published by Victora et al.33. Red dots are the genes that have different mRNA abundance in our mRNAseq libraries and were reduced in LZ GC B cells compared to DZ GC B cells in the study published by Victora et al. (b) Correlation of Log2 fold changes of differentially abundant genes (shown in Fig. 4a) when LZ are compared to DZ GC B cells from Cd79a+/+Ptbp1fl/fl control and Cd79acre/+Ptbp1fl/fl cKO mice. R = Pearson’s correlation coefficient. (c) Correlation of Log2 fold changes of genes that have different (padj <0.1) mRNA abundance due to the lack of PTBP1 in either LZ or DZ shown in Fig. 4b. R = Pearson’s correlation coefficient. (d) Proportions of genes with different (padj <0.1) mRNA abundance (DA) which are bound by PTBP1 to the 3’UTR. (e) The different types of alternatively spliced events analysed with rMATS60. (f) Example of inclusion level (proportion of transcripts including a particular event) and inclusion level difference calculation showing exon 10 of Cers5, which is frequently skipped in control GC B cells. Read coverage is shown for one replicate per condition. Arches with numbers depict the number of reads that map across an exon-exon junction. (g) Overlap of the number of differentially AS events (shown in Fig. 4c,d) observed when LZ GC B cells were compared to DZ GC B cells from Cd79a+/+Ptbp1fl/fl control mice (DS controls DZ - LZ), Cd79a+/+Ptbp1fl/fl control LZ GC B cells were compared to Cd79acre/+Ptbp1fl/fl cKO LZ GC B cells (DS LZ Ctrl – P1 cKO) and Cd79a+/+Ptbp1fl/fl control DZ GC B cells were compared to Cd79acre/+Ptbp1fl/fl cKO DZ GC B cells (DS DZ Ctrl – P1 cKO). (h) Proportions of differentially AS events that are bound by PTBP1. One event was considered to be bound by PTBP1 as detailed in the methods section: Analysis of mRNAseq libraries generated in this study.
Supplementary Figure 5 PTBP1 controls nucleotide biosynthesis pathways.
(a) Biological process gene ontology terms found to be significantly enriched in genes that have different mRNA abundance (DA) due to PTBP1 absence in LZ or DZ GC B cells as shown in Fig. 4b. Numbers in brackets represent the p-value and the FDR q-value, respectively, from the gene ontology enrichment analysis. (b) Log2 fold changes of genes with different (padj<0.1) mRNA abundance, which are part of GO pathways enriched due to Ptbp1 deletion in LZ GC B cells shown in a. (c) Log2 fold changes of genes with different (padj<0.1) mRNA abundance, which are part of GO pathways enriched due to PTBP1 absence in DZ GC B cells shown in a. In b and c genes highlighted in fuchsia were bound by PTBP1 at the 3’UTR, genes highlighted in blue were alternatively spliced with an inclusion level difference >10% and genes highlighted in purple were bound by PTBP1 at the 3’UTR and also alternatively spliced with an inclusion level difference > than 10%.
Supplementary Figure 6 Relevant genes for GC B cell responses in the absence of PTBP1.
(a) Overlaps of genes induced upon GC B cell selection and differentially expressed or alternatively spliced due to Ptbp1 deletion in LZ GC B cells. Supplementary Table 5 contains the different lists of genes used in the overlaps and information on how these lists were generated. (b) Phospho-S6 (Ser240/244) analysed by flow cytometry in non GC B cells (CD19+CD38+CD95-), LZ GC B cells (CD19+CD38lowCD95+CD86highCXCR4low) and DZ GC B cells (CD19+CD38lowCD95+CD86lowCXCR4high) of mice immunised with SRBC (Day 8). Each symbol in bar graphs shows data from an individual mouse. P-values from two-tailed unpaired Student’s t-test are shown for the indicated comparisons. (c) DEseq2 normalised read counts of LZ and DZ GC B cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice. Padj values are shown above the comparisons made between cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice. Dots depict individual biological replicates. Bars show mean values. (d) gMFI of BCL6 intracellular antibody staining of non GC (CD95-CD38highB220+) and GC (CD95+CD38lowB220+) B cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice immunised with NP-KLH (day 7). (e) gMFI of FOXO1 intracellular antibody staining in non CG (CD95-CD38highCD19+), LZ (CD86hiCXCR4low) and DZ (CD86lowCXCR4hi) GC (CD95+CD38lowCD19+) B cells from Cd79a+/+Ptbp1fl/fl and Cd79acre/+Ptbp1fl/fl mice immunised with SRBC (day 8). For c and d, dots shown in bar graphs represent data from individual mice. Bars depict the geometric mean fluorescence mean. P-values from unpaired two-tailed Student’s t-test are shown for the comparisons indicated.
Supplementary Figure 7 PTBP1 regulates cell proliferation in GC B cells.
(a) Gating strategy for cells at different stages of the cell cycle within LZ (CD86hi CXCR4low) or DZ (CD86low CXCR4high) GC B cells (CD95+ CD38low CD19+ B220+) based on BrdU and DNA (7AAD) staining by flow cytometry in cells from spleen 7 days after immunisation with NP-KLH. Numbers shown in cytometry plots are percentages. Graphs show percentages of cells in each phase of the cell cycle. Individual data points represent individual mice. Bars depict the mean. P-values from a two-tailed Student’s t-test are shown above the comparisons made. (b) BrdU and DNA (7AAD) staining of GC B cells (CD95+ CD38low B220+ CD19+) from spleens of mice immunised with SRBCs (day 8). (c) BrdU and DNA (7AAD) staining of CD45.2- or CD45.2+ GC (CD95+ CD38low B220+) B cells from the bone marrow chimera experiment shown in Supplementary Fig. 3d. (d) Analysis of cell cycle progression in developing B cells. Left plots show the gating strategy of Pro, Early and Late Pre B cells. Contour plots show pre-gated B220+ IgD- surface IgM- events from the bone marrow. BrdU and DNA staining shown on the right depict gating strategy of cells in G1/G0, S and G2/M phases. Bar graphs show the mean. Each dot represents data from an individual mouse. P-values from unpaired two-tailed Student’s t-test are shown for the comparisons indicated. In a-c BrdU was administered 1.5 hours before analysis. In a-c Numbers in cytometry plots show percentages. Dots shown in bar graphs represent data from individual mice. Bars depict the mean. P-values from unpaired two-tailed Student’s t-test are shown for the comparisons indicated. (e) DESeq2 normalised read counts of LZ and DZ GC B cells from Cd79a+/+Ptbp1fl/fl control and Cd79acre/+Ptbp1fl/fl cKO mice. Padj values are shown above the comparisons made.
Supplementary Figure 8 Ptbp1 deletion results in PKM1 expression.
Full images from the cropped immunoblot images presented in Fig. 8d.
Supplementary information
Supplementary Text and Figures
Supplementary Figures 1-8
Supplementary Table 1
PTBP1 iCLIP
Supplementary Table 2
Differential mRNA abundance analysis
Supplementary Table 3
Differential AS analysis
Supplementary Table 4
GOrilla GO enrichment analysis
Supplementary Table 5
Overlap between the c-MYC-dependent gene expression program induced during positive selection and PTBP1-dependent genes
Supplementary Table 6
Reagents including antibodies used in this study
Rights and permissions
About this article
Cite this article
Monzón-Casanova, E., Screen, M., Díaz-Muñoz, M.D. et al. The RNA-binding protein PTBP1 is necessary for B cell selection in germinal centers. Nat Immunol 19, 267–278 (2018). https://doi.org/10.1038/s41590-017-0035-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41590-017-0035-5
This article is cited by
-
Alternative splicing and related RNA binding proteins in human health and disease
Signal Transduction and Targeted Therapy (2024)
-
The RNA-binding protein hnRNP F is required for the germinal center B cell response
Nature Communications (2023)
-
Post-transcriptional checkpoints in autoimmunity
Nature Reviews Rheumatology (2023)
-
The role of TIA1 and TIAL1 in germinal center B cell function and survival
Cellular & Molecular Immunology (2023)
-
Endothelial deletion of PTBP1 disrupts ventricular chamber development
Nature Communications (2023)