scholarly journals The promoter and 5' flanking sequences controlling human B29 gene expression

Blood ◽  
1996 ◽  
Vol 87 (2) ◽  
pp. 666-673 ◽  
Author(s):  
AA Thompson ◽  
WJ Jr Wood ◽  
MJ Gilly ◽  
MA Damore ◽  
SA Omori ◽  
...  

The product of the B-cell-specific B29 gene (B29, Ig beta, CD79b) is essential for Ig-mediated B-cell activation via the B-cell antigen receptor complex (BCR) on human and murine B lymphocytes. To better understand the regulation of this pivotal gene, we have analyzed the human genomic DNA sequence upstream of the B29 ATG start codon for transcriptional control activity. The human B29 gene lacks either a TATA or a CAAT box and transcription is initiated at multiple sites. The minimal promoter of the human B29 gene is contained within a 193-bp region 5′ of these multiple start sites. This minimal promoter exhibits B-cell-specific activity and contains SP1, ETS, OCT, and IKAROS/LYF-1 transcription factor motifs. All these motifs are strikingly conserved in sequence and placement relative to the previously characterized murine B29 promoter. Additional upstream gene segments dramatically affected B29 minimal promoter activity. A newly identified motif called the B29 conserved sequence (BCS), found upstream of both human and murine B29 promoters, appears to stimulate B29 transcription through a novel mechanism. A single BCS had little effect either on the minimal B29 promoter or on a heterologous promoter. Instead, the BCS stimulated transcription by counteracting 5′ negative regulatory DNA sequences that block the activity of the B29 minimal promoter in its absence. These findings indicate that B29 gene expression is controlled by the complex interplay of positive and negative regulatory elements.

Author(s):  
Yanrong Ji ◽  
Zhihan Zhou ◽  
Han Liu ◽  
Ramana V Davuluri

Abstract Motivation Deciphering the language of non-coding DNA is one of the fundamental problems in genome research. Gene regulatory code is highly complex due to the existence of polysemy and distant semantic relationship, which previous informatics methods often fail to capture especially in data-scarce scenarios. Results To address this challenge, we developed a novel pre-trained bidirectional encoder representation, named DNABERT, to capture global and transferrable understanding of genomic DNA sequences based on up and downstream nucleotide contexts. We compared DNABERT to the most widely used programs for genome-wide regulatory elements prediction and demonstrate its ease of use, accuracy and efficiency. We show that the single pre-trained transformers model can simultaneously achieve state-of-the-art performance on prediction of promoters, splice sites and transcription factor binding sites, after easy fine-tuning using small task-specific labeled data. Further, DNABERT enables direct visualization of nucleotide-level importance and semantic relationship within input sequences for better interpretability and accurate identification of conserved sequence motifs and functional genetic variant candidates. Finally, we demonstrate that pre-trained DNABERT with human genome can even be readily applied to other organisms with exceptional performance. We anticipate that the pre-trained DNABERT model can be fined tuned to many other sequence analyses tasks. Availability and implementation The source code, pretrained and finetuned model for DNABERT are available at GitHub (https://github.com/jerryji1993/DNABERT). Supplementary information Supplementary data are available at Bioinformatics online.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 30-31
Author(s):  
Hanyin Wang ◽  
Shulan Tian ◽  
Qing Zhao ◽  
Wendy Blumenschein ◽  
Jennifer H. Yearley ◽  
...  

Introduction: Richter's syndrome (RS) represents transformation of chronic lymphocytic leukemia (CLL) into a highly aggressive lymphoma with dismal prognosis. Transcriptomic alterations have been described in CLL but most studies focused on peripheral blood samples with minimal data on RS-involved tissue. Moreover, transcriptomic features of RS have not been well defined in the era of CLL novel therapies. In this study we investigated transcriptomic profiles of CLL/RS-involved nodal tissue using samples from a clinical trial cohort of refractory CLL and RS patients treated with Pembrolizumab (NCT02332980). Methods: Nodal samples from 9 RS and 4 CLL patients in MC1485 trial cohort were reviewed and classified as previously published (Ding et al, Blood 2017). All samples were collected prior to Pembrolizumab treatment. Targeted gene expression profiling of 789 immune-related genes were performed on FFPE nodal samples using Nanostring nCounter® Analysis System (NanoString Technologies, Seattle, WA). Differential expression analysis was performed using NanoStringDiff. Genes with 2 fold-change in expression with a false-discovery rate less than 5% were considered differentially expressed. Results: The details for the therapy history of this cohort were illustrated in Figure 1a. All patients exposed to prior ibrutinib before the tissue biopsy had developed clinical progression while receiving ibrutinib. Unsupervised hierarchical clustering using the 300 most variable genes in expression revealed two clusters: C1 and C2 (Figure 1b). C1 included 4 RS and 3 CLL treated with prior chemotherapy without prior ibrutinib, and 1 RS treated with prior ibrutinib. C2 included 1 CLL and 3 RS received prior ibrutinib, and 1 RS treated with chemotherapy. The segregation of gene expression profiles in samples was largely driven by recent exposure to ibrutinib. In C1 cluster (majority had no prior ibrutinb), RS and CLL samples were clearly separated into two subgroups (Figure 1b). In C2 cluster, CLL 8 treated with ibrutinib showed more similarity in gene expression to RS, than to other CLL samples treated with chemotherapy. In comparison of C2 to C1, we identified 71 differentially expressed genes, of which 34 genes were downregulated and 37 were upregulated in C2. Among the upregulated genes in C2 (majority had prior ibrutinib) are known immune modulating genes including LILRA6, FCGR3A, IL-10, CD163, CD14, IL-2RB (figure 1c). Downregulated genes in C2 are involved in B cell activation including CD40LG, CD22, CD79A, MS4A1 (CD20), and LTB, reflecting the expected biological effect of ibrutinib in reducing B cell activation. Among the 9 RS samples, we compared gene profiles between the two groups of RS with or without prior ibrutinib therapy. 38 downregulated genes and 10 upregulated genes were found in the 4 RS treated with ibrutinib in comparison with 5 RS treated with chemotherapy. The top upregulated genes in the ibrutinib-exposed group included PTHLH, S100A8, IGSF3, TERT, and PRKCB, while the downregulated genes in these samples included MS4A1, LTB and CD38 (figure 1d). In order to delineate the differences of RS vs CLL, we compared gene expression profiles between 5 RS samples and 3 CLL samples that were treated with only chemotherapy. RS samples showed significant upregulation of 129 genes and downregulation of 7 genes. Among the most significantly upregulated genes are multiple genes involved in monocyte and myeloid lineage regulation including TNFSF13, S100A9, FCN1, LGALS2, CD14, FCGR2A, SERPINA1, and LILRB3. Conclusion: Our study indicates that ibrutinib-resistant, RS-involved tissues are characterized by downregulation of genes in B cell activation, but with PRKCB and TERT upregulation. Furthermore, RS-involved nodal tissues display the increased expression of genes involved in myeloid/monocytic regulation in comparison with CLL-involved nodal tissues. These findings implicate that differential therapies for RS and CLL patients need to be adopted based on their prior therapy and gene expression signatures. Studies using large sample size will be needed to verify this hypothesis. Figure Disclosures Zhao: Merck: Current Employment. Blumenschein:Merck: Current Employment. Yearley:Merck: Current Employment. Wang:Novartis: Research Funding; Incyte: Research Funding; Innocare: Research Funding. Parikh:Verastem Oncology: Honoraria; GlaxoSmithKline: Honoraria; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria; AbbVie: Honoraria, Research Funding; Merck: Research Funding; TG Therapeutics: Research Funding; AstraZeneca: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Kenderian:Sunesis: Research Funding; MorphoSys: Research Funding; Humanigen: Consultancy, Patents & Royalties, Research Funding; Gilead: Research Funding; BMS: Research Funding; Tolero: Research Funding; Lentigen: Research Funding; Juno: Research Funding; Mettaforge: Patents & Royalties; Torque: Consultancy; Kite: Research Funding; Novartis: Patents & Royalties, Research Funding. Kay:Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Acerta Pharma: Research Funding; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; MEI Pharma: Research Funding; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Rigel: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees. Braggio:DASA: Consultancy; Bayer: Other: Stock Owner; Acerta Pharma: Research Funding. Ding:DTRM: Research Funding; Astra Zeneca: Research Funding; Abbvie: Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees.


2006 ◽  
Vol 290 (1) ◽  
pp. L66-L74 ◽  
Author(s):  
Joshua Rubenfeld ◽  
Jia Guo ◽  
Nitat Sookrung ◽  
Rongbing Chen ◽  
Wanpen Chaicumpa ◽  
...  

Lysophosphatidic acid (LPA) is a membrane-derived lysophospholipid with wide-ranging effects on multiple lung cells including airway epithelial and smooth muscle cells. LPA can augment migration and cytokine synthesis in lymphocytes, but its potential effects on Th2 cytokines have not been well studied. We examined the effects of physiological concentrations of LPA on IL-13 gene expression in human T cells. The Jurkat T cell line and human peripheral blood CD4+ T cells were incubated with LPA alone or with 1) pharmacological agonists of different signaling pathways, or 2) antibodies directed against the T cell receptor complex and costimulatory molecules. Luciferase-based reporter constructs driven by different lengths of the human IL-13 promoter were transfected by electroporation in Jurkat cells treated with and without LPA. The effects of LPA on IL-13 mRNA stability were examined using actinomycin D to halt ongoing transcription. Expression of mRNA encoding LPA2and LPP-1 increased with T cell activation. LPA augmented IL-13 secretion under conditions of submaximal T cell activation. This was observed using pharmacological agonists activating intracellular calcium-, PKC-, and cAMP-dependent signaling pathways, as well as antibodies directed against CD3 and CD28. LPA only slightly prolonged IL-13 mRNA half-life in submaximally stimulated Jurkat cells. In contrast, LPA significantly enhanced transcriptional activation of the IL-13 promoter via regulatory elements contained within proximal 312 bp. The effects of LPA on IL-13 promoter activation appeared to be distinct from those mediated by GATA-3. LPA can augment IL-13 gene expression in T cells, especially under conditions of submaximal activation.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3583-3583
Author(s):  
Muluken S Belew ◽  
Stefan Rentas ◽  
Laura de Rooij ◽  
Kristin J Hope

Abstract The Musashi-2 (MSI2) RNA binding protein is now recognized as a key regulator of hematopoietic stem cells (HSCs). Its expression is most elevated in the primitive HSC compartment and progressively decreases with differentiation. In mouse models of CML, ectopic expression of MSI2 drives progression from the chronic to the blast crisis state while in the human context its aberrantly high expression correlates with more aggressive CML disease states and is associated with poor prognosis in AML. These studies suggest that the precise molecular regulation of MSI2 gene expression may be among the critical mechanisms underlying balanced HSC self-renewal and differentiation and as a result, the prevention of leukemic transformation/progression. Despite the clear importance of understanding how Msi2 maintains an appropriate stem cell-specific expression level, very little is understood of the transcription factors (TFs) that mediate this. To define those factors that govern MSI2 expression and function specifically in the HSC compartment we undertook a systematic approach to map and define relevant regulatory elements of the MSI2 minimal promoter. We dissected a 3.5 kb region 5' upstream of MSI2's translational start site (TSS) shared between mouse and human and thus having the greatest potential of containing regulatory elements key to a conserved MSI2 stem-cell-specific gene expression program. Progressive 5'-terminal deletions of this region cloned upstream of a luciferase reporter gene and transfected into K562 and 293T model cell lines allowed us to define a minimal conserved promoter region from -588 to -203 bp upstream of the TSS that reports accurately on endogenous MSI2 expression. Coupled with in silico prediction of TF that bind this region, systematic TF binding site mutagenesis and luciferase reporter assays in model cell lines identified USF2 and PLAG1 as TFs whose direct binding to the MSI2 minimal promoter direct reporter activity. Loss and gain of function studies in K562 cells confirm that these factors co-regulate the transactivation of endogenous MSI2. Moreover we show in the most relevant primary human CD34+ hematopoietic cell context that these factors bind the MSI2 minimal promoter. While USF2 is a ubiquitously expressed TF across the hematopoietic hierarchy, the uniquely restricted expression of PLAG1 within only the most primitive of hematopoietic cells suggests that it specifically contributes to the heightened stem cell-specific expression of MSI2. Consistent with its role as a key driver of MSI2 and thus an enforcer of its pro-self-renewal functions, we found that overexpression of PLAG1 in human Lin-CD34+ cord blood cells enhanced MSI2 transcription and increased total Colony Forming Unit (CFU) output and re-plating efficiency of primitive CFU progenitors. PLAG1 overexpression also offered a pro-survival advantage to these cells as evidenced by a more than two-fold reduction in Annexin V positive cells compared to negative controls. We have thus described important transcriptional circuitry that governs stem-cell specific expression of MSI2 while at the same time functionally validated PLAG1 as a novel factor capable of modulating primitive hematopoietic cell self-renewal and survival. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Mario Cocco ◽  
Matthew A Care ◽  
Muna Al-Maskari ◽  
Gina Doody ◽  
Reuben Tooze

AbstractThe activated B-cell (ABC) to plasmablast transition is the cusp of antibody secreting cell (ASC) differentiation but is incompletely defined. We apply expression time-courses, parsimonious gene correlation network analysis, and ChIP-seq to explore this in human cells. The transition initiates with input signal loss leading within hours from cell growth dominant programs to enhanced proliferation, accompanied from 24h by ER-stress response, secretory optimization and upregulation of ASC features. Clustering of genomic occupancy for ASC transcription factors (TFs) IRF4, BLIMP1 and XBP1 with CTCF and histone marks defines distinct patterns for each factor in plasmablasts. Integrating TF-associated clusters and modular gene expression identifies a dichotomy: XBP1 and IRF4 significantly link to gene modules induced in plasmablasts, but not to modules of repressed genes, while BLIMP1 links to modules of ABC genes repressed in plasmablasts but is not significantly associated with modules induced in plasmablasts. Pharmacological inhibition of the G9A (EHMT2) histone-methytransferase, a BLIMP1 co-factor that catalyzes repressive H3K9me2 marks, leaves functional ASC differentiation intact but de-represses ABC-state genes. Thus, in human plasmablasts IRF4 and XBP1 emerge as the dominant association with ASC gene expression, while BLIMP1 links to repressed modules with particular focus in repression of the B-cell activation state.


2021 ◽  
Author(s):  
Dillon G Patterson ◽  
Anna K Kania ◽  
Madeline J Price ◽  
James R Rose ◽  
Christopher D Scharer ◽  
...  

Cell division is an essential component of B cell differentiation to antibody-secreting plasma cells, with critical reprogramming occurring during the initial stages of B cell activation. However, a complete understanding of the factors that coordinate early reprogramming events in vivo remain to be determined. In this study, we examined the initial reprogramming by IRF4 in activated B cells using an adoptive transfer system and mice with a B cell-specific deletion of IRF4. IRF4-deficient B cells responding to influenza, NP-Ficoll and LPS divided, but stalled during the proliferative response. Gene expression profiling of IRF4-deficient B cells at discrete divisions revealed IRF4 was critical for inducing MYC target genes, oxidative phosphorylation, and glycolysis. Moreover, IRF4-deficient B cells maintained an inflammatory gene expression signature. Complementary chromatin accessibility analyses established a hierarchy of IRF4 activity and identified networks of dysregulated transcription factor families in IRF4-deficient B cells, including E-box binding bHLH family members. Indeed, B cells lacking IRF4 failed to fully induce Myc after stimulation and displayed aberrant cell cycle distribution. Furthermore, IRF4-deficient B cells showed reduced mTORC1 activity and failed to initiate the B cell-activation unfolded protein response and grow in cell size. Myc overexpression in IRF4-deficient was sufficient to overcome the cell growth defect. Together, these data reveal an IRF4-MYC-mTORC1 relationship critical for controlling cell growth and the proliferative response during B cell differentiation.


2019 ◽  
Author(s):  
Simone Lederer ◽  
Tom Heskes ◽  
Simon J. van Heeringen ◽  
Cornelis A. Albers

AbstractMotivationCellular identity and behavior is controlled by complex gene regulatory networks. Transcription factors (TFs) bind to specific DNA sequences to regulate the transcription of their target genes. On the basis of these TF motifs in cis-regulatory elements we can model the influence of TFs on gene expression. In such models of TF motif activity the data is usually modeled assuming a linear relationship between the motif activity and the gene expression level. A commonly used method to model motif influence is based on Ridge Regression. One important assumption of linear regression is the independence between samples. However, if samples are generated from the same cell line, tissue, or other biological source, this assumption may be invalid. This same assumption of independence is also applied to different, yet similar, experimental conditions, which may also be inappropriate. In theory, the independence assumption between samples could lead to loss in signal detection. Here we investigate whether a Bayesian model that allows for correlations results in more accurate inference of motif activities.ResultsWe extend the Ridge Regression to a Bayesian Linear Mixed Model, which allows us to model dependence between different samples. In a simulation study, we in-vestigate the differences between the two model assumptions. We show that our Bayesian Linear Mixed Model implementation outperforms Ridge Regression in a simulation scenario where the noise, the signal that can not be explained by TF motifs, is uncorrelated. However, we demonstrate that there is no such gain in performance if the noise has a similar covariance structure over samples as the signal that can be explained by motifs. We give a mathematical explanation to why this is the case. Using two representative real data sets we show that at most ∼ 40% of the signal is explained by motifs using the linear model. With these data there is no advantage to using the Bayesian Linear Mixed Model, due to the similarity of the covariance structure.Availability & ImplementationThe project implementation is available at https://github.com/Sim19/SimGEXPwMotifs.


2021 ◽  
Vol 12 ◽  
Author(s):  
Dominik Schmiedel ◽  
Hadas Hezroni ◽  
Amit Hamburg ◽  
Ziv Shulman

Activation and differentiation of B cells depend on extensive rewiring of gene expression networks through changes in chromatin structure and accessibility. The chromatin remodeling complex BAF with its catalytic subunit Brg1 was previously identified as an essential regulator of early B cell development, however, how Brg1 orchestrates gene expression during mature B cell activation is less clear. Here, we find that Brg1 is required for B cell proliferation and germinal center formation through selective interactions with enhancers. Brg1 recruitment to enhancers following B cell activation was associated with increased chromatin accessibility and transcriptional activation of their coupled promoters, thereby regulating the expression of cell cycle-associated genes. Accordingly, Brg1-deficient B cells were unable to mount germinal center reactions and support the formation of class-switched plasma cells. Our findings show that changes in B cell transcriptomes that support B cell proliferation and GC formation depend on enhancer activation by Brg1. Thus, the BAF complex plays a critical role during the onset of the humoral immune response.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1331-1331
Author(s):  
Mianmian Yin ◽  
Yang Jo Chung ◽  
R. Coleman Lindsley ◽  
Yeulin Zhu ◽  
Robert L. Walker ◽  
...  

Abstract Chromosomal translocations resulting in NUP98 fusion genes have been associated with a wide spectrum of hematologic malignancies, including MDS, AML, T-ALL, and B cell precursor (BCP) ALL. Based on gene expression profiles and murine transplantation experiments, it is thought that NUP98 fusions can confer aberrant self-renewal potential to hematopoietic cells. Approximately 90% of mice that express a NUP98-PHF23 (NP23) fusion in the hematopoietic compartment, under the control of Vav1 regulatory elements develop AML and/or T-ALL. However, approximately 10% of NP23 mice develop an aggressive acute lymphoblastic leukemia of B1-lymphocyte progenitor origin (pro B-1 ALL). Whole exome sequencing demonstrated that all NP23 pro-B1-ALL had acquired somatic frameshift mutations of the BCL6 co-repressor (Bcor) gene, and most had acquired mutations in the Jak/Stat pathway. To determine whether experimentally engineered Bcor mutations would lead to pro B-1 ALL, we used CRISPR-Cas9 to introduce Bcor indel mutations into NP23 hematopoietic stem and progenitor cells through the use of Bcor single guide RNAs (Bcor sgRNA). Recipient mice transplanted with NP23 bone marrow (BM) or fetal liver (FL) cells that had been transduced with a Bcor sgRNA developed pro B-1 ALL, characterized by a B-1 progenitor immunophenotype, clonal Igh gene rearrangement, and Bcor indel mutation, whereas control recipients did not. In addition, similar to some human BCP ALL, the Bcor sgRNA/NP23 murine pro B-1 ALL had acquired somatic mutations in Jak kinase genes. A distinct subset of pediatric BCP ALL are characterized by rearrangement and overexpression of the CRLF2 gene (designated CRLF2r); the CRLF2 gene is the receptor for thymic stromal lymphopoietin (TSLP), a cytokine that plays a role in normal progenitor B1 cell development. The NP23 pro-B1 ALL are similar to CRLF2r BCP ALL in terms of a preferential V heavy chain (VH) usage, gene expression profile, and propensity for acquired JAK/STAT pathways mutations. JAK inhibitors (ruxolitinib and tofacitinib) induced apoptosis and inhibited the growth of pro B-1 ALL cell lines established from Bcor sgRNA/NP23 recipients, at clinically achievable concentrations (10-100 nM). Taken together, these findings demonstrate that a CRISPR-induced Bcor frameshift collaborates with an NP23 transgene to predispose B-1 progenitors to leukemic transformation. These two events are unlikely to be sufficient for leukemic transformation, as we detected spontaneous Jak pathway mutations that were required for continued growth of the leukemic cells. This constellation of mutations (NP23 expression leading to increased stem cell self-renewal, Bcor frameshift leading to impaired B cell differentiation, and Jak pathway mutations leading to dysregulated proliferation) is similar to that seen in human BCP ALL patients, and suggests that the NP23/Bcor mutant mice and cell lines will be a useful model for human pro-B1 ALL. Disclosures Aplan: NIH Office of Technolgy Transfer: Employment, Patents & Royalties: NUP98-HOXD13 mice.


Blood ◽  
2008 ◽  
Vol 112 (4) ◽  
pp. 1392-1401 ◽  
Author(s):  
Akiko J. Okumura ◽  
Luke F. Peterson ◽  
Fumihiko Okumura ◽  
Anita Boyapati ◽  
Dong-Er Zhang

AbstractChromosome abnormalities are frequently associated with cancer development. The 8;21(q22;q22) chromosomal translocation is one of the most common chromosome abnormalities identified in leukemia. It generates fusion proteins between AML1 and ETO. Since AML1 is a well-defined DNA-binding protein, AML1-ETO fusion proteins have been recognized as DNA-binding proteins interacting with the same consensus DNA-binding site as AML1. The alteration of AML1 target gene expression due to the presence of AML1-ETO is related to the development of leukemia. Here, using a 25-bp random double-stranded oligonucleotide library and a polymerase chain reaction (PCR)-based DNA-binding site screen, we show that compared with native AML1, AML1-ETO fusion proteins preferentially bind to DNA sequences with duplicated AML1 consensus sites. This finding is further confirmed by both in vitro and in vivo DNA-protein interaction assays. These results suggest that AML1-ETO fusion proteins have a selective preference for certain AML1 target genes that contain multimerized AML1 consensus sites in their regulatory elements. Such selected regulation provides an important molecular mechanism for the dysregulation of gene expression during cancer development.


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