Cited by 30Genomics and Chromatin DynamicsT-cell and B-cell ImmunologyEpigenetics and DNA Methylation

EBF1 drives hallmark B cell gene expression by enabling the interaction of PAX5 with the MLL H3K4 methyltransferase complex

Open access
Bullerwell, Charles E., Robichaud, Philippe Pierre, Deprez, Pierre M. L., Joy, Andrew P., Wajnberg, Gabriel, D’Souza, Darwin, Chacko, Simi, Fournier, Sébastien +4 more·2021·Scientific Reports

Abstract

PAX5 and EBF1 work synergistically to regulate genes that are involved in B lymphocyte differentiation. We used the KIS-1 diffuse large B cell lymphoma cell line, which is reported to have elevated levels of PAX5 expression, to investigate the mechanism of EBF1- and PAX5-regulated gene expression. We demonstrate the lack of expression of hallmark B cell genes, including CD19, CD79b, and EBF1, in the KIS-1 cell line. Upon restoration of EBF1 expression we observed activation of CD19, CD79b and other genes with critical roles in B cell differentiation. Mass spectrometry analyses of proteins co-immunoprecipitated with PAX5 in KIS-1 identified components of the MLL H3K4 methylation complex, which drives histone modifications associated with transcription activation. Immunoblotting showed a stronger association of this complex with PAX5 in the presence of EBF1. Silencing of KMT2A, the catalytic component of MLL, repressed the ability of exogenous EBF1 to activate transcription of both CD19 and CD79b in KIS-1 cells. We also find association of PAX5 with the MLL complex and decreased CD19 expression following silencing of KMT2A in other human B cell lines. These data support an important role for the MLL complex in PAX5-mediated transcription regulation.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-021-81000-5

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • SCENIC+ analysis revealed 180 eRegulons, including SPI1, JDP2, RUNX1 in Kupffer cells; EBF1 and PAX5 in B cells; GATA3 and LEF1 in T cells; GATA4, MEIS1 and MAF in LSECs; LHX2 and TEAD1 in HSCs; WT1 in fibroblasts; and TEAD4, DOX4 and HNF1B in BECs, among others, in agreement with literature.

    “This analysis revealed 180 eRegulons, including SPI1, JDP2, RUNX1 in Kupffer cells; EBF1 and PAX5 in B cells; GATA3 and LEF1 in T cells; GATA4, MEIS1 and MAF in LSECs; LHX2 and TEAD1 in HSCs; WT1 in fibroblasts; and TEAD4, DOX4 and HNF1B in BECs, among others, and in agreement with literature15–20.”
  • This approach identified PU.1, Runx, and Irf as candidate TFs for Kupffer cell enhancers; Pax5 and Ebf1 for B cells; Tbx21 for T cells; Meis1, Maf and Gata4 for LSECs; Mef2c and Lhx2 for HSC; and Tead4, Sox9 and Hnf1b for BECs.

    “this approach identified PU.1, Runx, and Irf as candidate TFs for Kupffer cell enhancers37; Pax5 and Ebf1 for B cells38; Tbx21 for T cells39; Meis1, Maf and Gata4 for LSECs40; Mef2c and Lhx2 for HSC41; and Tead4, Sox9 and Hnf1b for BECs42”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 48

  1. [1]Nutt SL Morrison AM Dörfler P Rolink A Busslinger M Identification of BSAP (Pax-5) target genes in early B-cell development by loss- and gain-of-function experiments EMBO J. 1998 17 2319 2333 10.1093/emboj/17.8.2319 9545244 PMC1170575 · DOI
  2. [2]Medvedovic J Ebert A Tagoh H Busslinger M Pax5: a master regulator of B cell development and leukemogenesis Adv. Immunol. 2011 111 179 206 10.1016/B978-0-12-385991-4.00005-2 21970955 · DOI
  3. [3]Nera K-P Loss of Pax5 promotes plasma cell differentiation Immunity 2006 24 283 293 10.1016/j.immuni.2006.02.003 16546097 · DOI
  4. [4]Cobaleda C Jochum W Busslinger M Conversion of mature B cells into T cells by dedifferentiation to uncommitted progenitors Nature 2007 449 473 477 10.1038/nature06159 17851532 · DOI · Paper page
  5. [5]Souabni A Cobaleda C Schebesta M Busslinger M Pax5 promotes B lymphopoiesis and blocks T cell development by repressing Notch1 Immunity 2002 17 781 793 10.1016/S1074-7613(02)00472-7 12479824 · DOI
  6. [6]Eberhard D Busslinger M The partial homeodomain of the transcription factor Pax-5 (BSAP) is an interaction motif for the retinoblastoma and TATA-binding proteins Cancer Res. 1999 59 1716 1725 10197586
  7. [7]McManus S The transcription factor Pax5 regulates its target genes by recruiting chromatin-modifying proteins in committed B cells EMBO J. 2011 30 2388 2404 10.1038/emboj.2011.140 21552207 PMC3116275 · DOI
  8. [8]Kamesaki H A novel B cell line from Ki-1-positive diffuse large cell lymphoma Jpn. J. Cancer Res. 1988 79 1193 1200 10.1111/j.1349-7006.1988.tb01544.x 2852183 PMC5917646 · DOI
  9. [9]Ohno H Molecular analysis of a chromosomal translocation, t(9; 14)(p13;q32), in a diffuse large-cell lymphoma cell line expressing the Ki-1 antigen Proc. Natl. Acad. Sci. USA 1990 87 628 632 10.1073/pnas.87.2.628 2153959 PMC53318 · DOI
  10. [10]Busslinger M Klix N Pfeffer P Graninger PG Kozmik Z Deregulation of PAX-5 by translocation of the Emu enhancer of the IgH locus adjacent to two alternative PAX-5 promoters in a diffuse large-cell lymphoma Proc. Natl. Acad. Sci. USA 1996 93 6129 6134 10.1073/pnas.93.12.6129 8650231 PMC39201 · DOI
  11. [11]Lida S The t(9;14)(p13;q32) chromosomal translocation associated with lymphoplasmacytoid lymphoma involves the PAX-5 gene Blood 1996 88 4110 4117 10.1182/blood.V88.11.4110.4110 8943844 · DOI
  12. [12]Hamada T Expression of the PAX5/BSAP transcription factor in haematological tumour cells and further molecular characterization of the t(9;14)(p13;q32) translocation in B-cell non-Hodgkin's lymphoma Br. J. Haematol. 1998 102 691 700 10.1046/j.1365-2141.1998.00842.x 9722295 · DOI
  13. [13]Morrison AM Deregulated PAX-5 transcription from a translocated IgH promoter in marginal zone lymphoma Blood 1998 92 3865 3878 10.1182/blood.V92.10.3865 9808580 · DOI
  14. [14]Li R Dynamic EBF1 occupancy directs sequential epigenetic and transcriptional events in B-cell programming Genes Dev. 2018 32 96 111 10.1101/gad.309583.117 29440261 PMC5830932 · DOI
  15. [15]Huang DW Sherman BT Lempicki RA Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources Nat. Protoc. 2009 4 44 57 10.1038/nprot.2008.211 19131956 · DOI · Paper page
  16. [16]Stresemann C Lyko F Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine Int. J. Cancer 2008 123 8 13 10.1002/ijc.23607 18425818 · DOI
  17. [17]Yasuda T B cell receptor-ERK1/2 signal cancels PAX5-dependent repression of BLIMP1 through PAX5 phosphorylation: a mechanism of antigen-triggering plasma cell differentiation J. Immunol. 2012 188 6127 6134 10.4049/jimmunol.1103039 22593617 · DOI
  18. [18]Tomita H Tanaka K Tanaka T Hara A Aldehyde dehydrogenase 1A1 in stem cells and cancer Oncotarget 2016 7 11018 11032 10.18632/oncotarget.6920 26783961 PMC4905455 · DOI
  19. [19]Muta H Podack ER CD30: from basic research to cancer therapy Immunol. Res. 2013 57 151 158 10.1007/s12026-013-8464-1 24233555 PMC3992519 · DOI
  20. [20]Mi H PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements Nucleic Acids Res. 2017 45 D1 D183 D189 10.1093/nar/gkw1138 27899595 PMC5210595 · DOI
  21. [21]Barlev NA A novel human Ada2 homologue functions with Gcn5 or Brg1 to coactivate transcription Mol. Cell Biol. 2003 19 6944 6957 10.1128/MCB.23.19.6944-6957.2003 PMC193946 12972612 · DOI
  22. [22]Gao H Opposing effects of SWI/SNF and Mi-2/NuRD chromatin remodeling complexes on epigenetic reprogramming by EBF and Pax5 Proc. Natl. Acad. Sci. U. S. A. 2009 106 11258 11263 10.1073/pnas.0809485106 19549820 PMC2708696 · DOI
  23. [23]He T Histone acetyltransferase p300 acetylates Pax5 and strongly enhances Pax5-mediated transcriptional activity J. Biol. Chem. 2011 286 14137 14145 10.1074/jbc.M110.176289 21357426 PMC3077615 · DOI
  24. [24]Emelyanov AV Kovac CR Sepulveda MA Birshtein BK The interaction of Pax5 (BSAP) with Daxx can result in transcriptional activation in B cells J. Biol. Chem. 2002 277 11156 11164 10.1074/jbc.M111763200 11799127 · DOI
  25. [25]Eberhard D Jiménez G Heavey B Busslinger M Transcriptional repression by Pax5 (BSAP) through interaction with corepressors of the Groucho family EMBO J. 2000 19 2292 2303 10.1093/emboj/19.10.2292 10811620 PMC384353 · DOI
  26. [26]Milili M Gauthier L Veran J Mattei M-G Schiff C A new Groucho TLE4 protein may regulate the repressive activity of Pax5 in human B lymphocytes Immunology 2002 106 447 455 10.1046/j.1365-2567.2002.01456.x 12153506 PMC1782747 · DOI
  27. [27]Linderson Y Corecruitment of the Grg4 repressor by PU.1 is critical for Pax5-mediated repression of B-cell-specific genes EMBO Rep. 2004 5 291 296 10.1038/sj.embor.7400089 14993928 PMC1299001 · DOI · Paper page
  28. [28]Merluzzi S CD40 stimulation induces Pax5/BSAP and EBF activation through a APE/Ref-1-dependent redox mechanism J. Biol. Chem. 2004 279 1777 1786 10.1074/jbc.M305418200 14594818 · DOI
  29. [29]Treiber T Early B cell factor 1 regulates B cell gene networks by activation, repression, and transcription- independent poising of chromatin Immunity 2010 32 714 725 10.1016/j.immuni.2010.04.013 20451411 · DOI
  30. [30]Akerblad P Rosberg M Leanderson T Sigvardsson M The B29 (immunoglobulin beta-chain) gene is a genetic target for early B-cell factor Mol. Cell. Biol. 1999 19 392 401 10.1128/MCB.19.1.392 9858563 PMC83897 · DOI
  31. [31]Bohle V Döring C Hansmann ML Küppers R Role of early B-cell factor 1(EBF1) in Hodgkin lymphoma Leukemia 2013 27 671 679 10.1038/leu.2012.280 23174882 · DOI
  32. [32]Liu H Proteasome inhibitors evoke latent tumor suppression programs in pro-B MLL leukemias through MLL-AF4 Cancer Cell 2014 25 530 542 10.1016/j.ccr.2014.03.008 24735925 PMC4097146 · DOI
  33. [33]Rao RC Dou Y Hijacked in cancer: the KMT2 (MLL) family of methyltransferases Nat. Rev. Cancer 2015 15 334 346 10.1038/nrc3929 25998713 PMC4493861 · DOI
  34. [34]Lechner MS Levitan I Dressler GR PTIP, a novel BRCT domain-containing protein interacts with Pax2 and is associated with active chromatin Nucleic Acids Res. 2000 28 2741 2751 10.1093/nar/28.14.2741 10908331 PMC102659 · DOI
  35. [35]Cho YW PTIP associates with MLL3- and MLL4-containing histone H3 lysine 4 methyltransferase complex J. Biol. Chem. 2007 282 20395 20406 10.1074/jbc.M701574200 17500065 PMC2729684 · DOI
  36. [36]Patel SR Kim D Levitan I Dressler GR The BRCT-domain containing protein PTIP links PAX2 to a histone H3, lysine 4 methyltransferase complex Dev. Cell 2007 13 580 592 10.1016/j.devcel.2007.09.004 17925232 PMC2100379 · DOI · Paper page
  37. [37]Shalem O Genome-scale CRISPR-Cas9 knockout screening in human cells Science 2014 343 84 87 10.1126/science.1247005 24336571 PMC4089965 · DOI · Paper page
  38. [38]Denning W Optimization of the transductional efficiency of lentiviral vectors: effect of sera and polycations Mol. Biotechnol. 2013 53 308 314 10.1007/s12033-012-9528-5 22407723 PMC3456965 · DOI
  39. [39]Martin M Cutadapt removes adapter sequences from high-throughput sequencing reads EMBnet.journal 2011 17 10 10.14806/ej.17.1.200 · DOI · Paper page
  40. [40]Dobin A STAR: ultrafast universal RNA-seq aligner Bioinformatics 2013 29 15 21 10.1093/bioinformatics/bts635 23104886 PMC3530905 · DOI · Paper page
  41. [41]Langmead B Salzberg SL Fast gapped-read alignment with Bowtie 2 Nat. Methods 2012 9 357 359 10.1038/nmeth.1923 22388286 PMC3322381 · DOI · Paper page
  42. [42]Li H 1000 genome project data processing subgroup. The sequence alignment/map format and SAM tools Bioinformatics 2009 25 2078 2079 10.1093/bioinformatics/btp352 19505943 PMC2723002 · DOI · Paper page
  43. [43]Liao Y Smyth GK Shi W FeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features Bioinformatics 2014 30 923 930 10.1093/bioinformatics/btt656 24227677 · DOI · Paper page
  44. [44]Love MI Huber W Anders S Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 Genome Biol. 2014 15 550 10.1186/s13059-014-0550-8 25516281 PMC4302049 · DOI · Paper page
  45. [46]Koboldt DC VarScan: variant detection in massively parallel sequencing of individual and pooled samples Bioinformatics 2009 25 2283 2285 10.1093/bioinformatics/btp373 19542151 PMC2734323 · DOI
  46. [47]Eng JK McCormack AL Yates JR An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database J. Am. Soc. Mass Spectrom. 1994 5 976 989 10.1016/1044-0305(94)80016-2 24226387 · DOI · Paper page
  47. [48]Dorfer V MS Amanda, a universal identification algorithm optimized for high accuracy tandem mass spectra J. Proteome Res. 2014 13 3679 3684 10.1021/pr500202e 24909410 PMC4119474 · DOI
  48. [49]Nesvizhskii AI Keller A Kolker E Aebersold RA Statistical model for identifying proteins by tandem mass spectrometry Anal. Chem. 2003 75 4646 4658 10.1021/ac0341261 14632076 · DOI

Cited by

Sorted by citations

Authors
Bullerwell, C. E., Robichaud, P. P., Deprez, P. M. L., Joy, A. P., Wajnberg, G., D’Souza, D., Chacko, S., Fournier, S., Crapoulet, N., Barnett, D. A., Lewis, S. M., & Ouellette, R. J.
Affiliations
  • Atlantic Cancer Research Institute (CA)
  • Université de Moncton (CA)
Corresponding author
Ouellette, Rodney J.
Venue
Scientific Reports
Published
2021-01-15
Volume
11
Issue
1
Pages
1537-1537
ISSN
2045-2322 (ISSN-L)
OpenAlex
W3122379329
Cited by
30
References
0
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 5 · 2021: 1
FWCI
1.57
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Canadian Institutes of Health Research (14265)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
Keywords
EBF1, PAX5, MLL complex, KMT2A, H3K4 methylation, B cell differentiation, CD19, CD79b, transcriptional regulation, diffuse large B-cell lymphoma, histone modifications
MeSH terms
B-Lymphocytes, Cell Differentiation, Gene Expression Regulation, Humans, Lymphocyte Activation, Methyltransferases, Trans-Activators, Gene Expression, Lymphoma, B-Cell, Antigens, CD19, Cell Lineage, Cell Line, Tumor, PAX5 Transcription Factor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review