An Interferon-Related Signature in the Transcriptional Core Response of Human Macrophages to Mycobacterium tuberculosis Infection
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{"title"=>"An interferon-related signature in the transcriptional core response of human macrophages to mycobacterium tuberculosis infection", "type"=>"journal", "authors"=>[{"first_name"=>"Kang", "last_name"=>"Wu", "scopus_author_id"=>"55241867300"}, {"first_name"=>"Dandan", "last_name"=>"Dong", "scopus_author_id"=>"22634572900"}, {"first_name"=>"Hai", "last_name"=>"Fang", "scopus_author_id"=>"55242232600"}, {"first_name"=>"Florence", "last_name"=>"Levillain", "scopus_author_id"=>"25228764500"}, {"first_name"=>"Wen", "last_name"=>"Jin", "scopus_author_id"=>"35794550600"}, {"first_name"=>"Jian", "last_name"=>"Mei", "scopus_author_id"=>"35285764300"}, {"first_name"=>"Brigitte", "last_name"=>"Gicquel", "scopus_author_id"=>"18934359400"}, {"first_name"=>"Yanzhi", "last_name"=>"Du", "scopus_author_id"=>"24773223600"}, {"first_name"=>"Kankan", "last_name"=>"Wang", "scopus_author_id"=>"7501397461"}, {"first_name"=>"Qian", "last_name"=>"Gao", "scopus_author_id"=>"37008233400"}, {"first_name"=>"Olivier", "last_name"=>"Neyrolles", "scopus_author_id"=>"6701546740"}, {"first_name"=>"Ji", "last_name"=>"Zhang", "scopus_author_id"=>"55208859100"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84861868603", "doi"=>"10.1371/journal.pone.0038367", "issn"=>"19326203", "pui"=>"364955366", "isbn"=>"2006037919", "pmid"=>"22675550", "scopus"=>"2-s2.0-84861868603"}, "id"=>"72d78d41-a9fa-31db-9ded-f461ce955e9b", "abstract"=>"The W-Beijing family of Mycobacterium tuberculosis (Mtb) strains is known for its high-prevalence and -virulence, as well as for its genetic diversity, as recently reported by our laboratories and others. However, little is known about how the immune system responds to these strains. To explore this issue, here we used reverse engineering and genome-wide expression profiling of human macrophage-like THP-1 cells infected by different Mtb strains of the W-Beijing family, as well as by the reference laboratory strain H37Rv. Detailed data mining revealed that host cell transcriptome responses to H37Rv and to different strains of the W-Beijing family are similar and overwhelmingly induced during Mtb infections, collectively typifying a robust gene expression signature (\"THP1r2Mtb-induced signature\"). Analysis of the putative transcription factor binding sites in promoter regions of genes in this signature identified several key regulators, namely STATs, IRF-1, IRF-7, and Oct-1, commonly involved in interferon-related immune responses. The THP1r2Mtb-induced signature appeared to be highly relevant to the interferon-inducible signature recently reported in active pulmonary tuberculosis patients, as revealed by cross-signature and cross-module comparisons. Further analysis of the publicly available transcriptome data from human patients showed that the signature appears to be relevant to active pulmonary tuberculosis patients and their clinical therapy, and be tuberculosis specific. Thus, our results provide an additional layer of information at the transcriptome level on mechanisms involved in host macrophage response to Mtb, which may also implicate the robustness of the cellular defense system that can effectively fight against genetic heterogeneity in this pathogen.", "link"=>"http://www.mendeley.com/research/interferonrelated-signature-transcriptional-core-response-human-macrophages-mycobacterium-tuberculos", "reader_count"=>55, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Librarian"=>1, "Researcher"=>20, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>6, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Librarian"=>1, "Researcher"=>20, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>6, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>3, "Agricultural and Biological Sciences"=>27, "Medicine and Dentistry"=>11, "Veterinary Science and Veterinary Medicine"=>1, "Psychology"=>1, "Computer Science"=>2, "Immunology and Microbiology"=>5}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>11}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>27}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Unspecified"=>{"Unspecified"=>4}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "United States"=>1, "Norway"=>1, "Brazil"=>1, "United Kingdom"=>2, "Mexico"=>1, "South Africa"=>1, "Germany"=>1, "India"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/628956"], "description"=>"1<p>Traning set: all the donors, which were defined as PTB, LTB or healthy, were recruited from London, UK. Test set: all the donors were from London UK. Validation set: all the donors were from Cape Town, South Africa. Test set_seperated: purified neutrophils, monocytes, CD4<sup>+</sup> T cells, and CD8<sup>+</sup> T cells from both PTB and healthy controls. Longitudinal study: PTB patients before drug treatment, 2 months after drug treatment, and 12 months after drug treatment.</p>2<p>Group-group contrasted and ranked by LIMMA-based method.</p>3<p>(+) NES for positive correlation, (−) NES for negative correlation.</p>4<p>Significance of correlation, an FDR of 0.05 or lower was accepted as statistically significant for NES (“Positive” or “Negative”), otherwise “Null”. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367.s007\" target=\"_blank\">Figures S7</a>,S8,S9 for plot graph of each group comparison. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367.s010\" target=\"_blank\">Figure S10</a> for CPP-SOM graph of expression data of each donor.</p>", "links"=>[], "tags"=>["transcriptome", "tuberculosis"], "article_id"=>299436, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GSEA_of_the_THP1r2_Mtb_induced_signature_using_transcriptome_data_from_human_tuberculosis_patients_/299436", "title"=>"GSEA of the THP1r2<i>Mtb</i>-induced signature using transcriptome data from human tuberculosis patients.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-06-04 02:37:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/628322"], "description"=>"<p>(<b>A</b>) Sample classification of THP-1 transcriptome responses to <i>Mtb</i> W-Beijing and H37Rv strains.W-Beijing strains from the same node (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone-0038367-g001\" target=\"_blank\">Figure 1</a>) were highlighted by the same color. For example, two CHN50 strains (CHN50.1 and CHN50.2) from node Bmyc26 were colored in black. (<b>B</b>) Component plane presentation integrated self-organizing map (CPP-SOM) of host transcriptomic responses to 11 different W-Beijing family strains as well as duplicated H37Rv (columns) at 3 time points (rows). Each presentation illustrates a sample- and time-specific transcriptome map, in which all the up-regulated (represented by neurons in red), down-regulated (represented by neurons in blue) and moderately regulated (represented by neurons in yellow and green) genes were well delineated. Linking these presentations allows visual-easy comparisons of transcriptome changes across time points and strains.</p>", "links"=>[], "tags"=>["classification", "thp-1", "cells", "w-beijing", "strains"], "article_id"=>298793, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.g002", "stats"=>{"downloads"=>1, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Transcriptome_classification_of_THP_1_cells_to_W_Beijing_strains_as_well_as_the_lab_strain_H37Rv_/298793", "title"=>"Transcriptome classification of THP-1 cells to W-Beijing strains as well as the lab strain H37Rv.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-04 02:26:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/628905"], "description"=>"1<p><i>Strep</i>: <i>Streptococcus pneumonia</i> infection, <i>Staph</i>: <i>Staphylococcus aureus</i> infection.</p>2,3<p>The same as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone-0038367-t001\" target=\"_blank\">Table 1</a>.</p>", "links"=>[], "tags"=>["transcriptome", "patients", "acute"], "article_id"=>299389, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.t002", "stats"=>{"downloads"=>4, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GSEA_of_the_THP1r2_Mtb_induced_signature_using_transcriptome_data_from_human_patients_with_acute_infections_/299389", "title"=>"GSEA of the THP1r2<i>Mtb</i>-induced signature using transcriptome data from human patients with acute infections.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-06-04 02:36:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/628175"], "description"=>"<p>Genetic diversity of W-Beijing family strains, as revealed by SNPs-based genotyping (see our recent work <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367-Mestre1\" target=\"_blank\">[16]</a> for details). In brief, 48 SNPs were characterized by sequencing 22 genes (being involved in DNA repair, replication, and recombination) in 58 W-Beijing isolates plus one non-W-Beijing isolate (Myc2). Each node represents one genotype (the same SNPs profile), with the node area proportional to the population size (the number of W-Beijing isolates in it was indicated on the left). Strains from the corresponding node used for the THP-1 infection in this study (e.g., R1.4 from Bmyc10) were indicated on the right. Lab strain H37Rv, which was also recruited for the THP-1 infection, was not shown here.</p>", "links"=>[], "tags"=>["detecting", "transcriptional", "responses", "w-beijing"], "article_id"=>298645, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_design_for_detecting_host_transcriptional_responses_to_different_Mtb_W_Beijing_strains_/298645", "title"=>"Experimental design for detecting host transcriptional responses to different <i>Mtb</i> W-Beijing strains.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-04 02:24:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/628589"], "description"=>"<p>Data were obtained from four time-series samples infected by strains of R1.4, ZA9.2, R17.1, and MAD2.1. Fold changes of the induction were illustrated and statistic tests were performed. ** for P-value<0.01.</p>", "links"=>[], "tags"=>["validation", "transcriptional", "regulators"], "article_id"=>299069, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_qRT_PCR_validation_of_transcriptional_regulators_STAT_1_2_IRF_1_IRF_7_and_Oct_1_/299069", "title"=>"qRT-PCR validation of transcriptional regulators <i>STAT-1/2</i>, <i>IRF-1</i>, <i>IRF-7</i>, and <i>Oct-1</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-04 02:31:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/628874"], "description"=>"1<p><i>Staph</i>: <i>Staphylococcus aureus</i> infection, Liver-transplant: liver-transplant undergoing immunosuppressive therapy, Melanoma: metastatic melanoma, SLE: systemic lupus erythematosus, JIA: systemic juvenile idiopathic arthritis.</p>2,3<p>The same as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone-0038367-t001\" target=\"_blank\">Table 1</a>.</p>", "links"=>[], "tags"=>["transcriptomes", "patients", "inflammatory", "pathological"], "article_id"=>299352, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.t003", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GSEA_of_the_THP1r2_Mtb_induced_signature_using_transcriptomes_from_patients_with_other_inflammatory_or_pathological_conditions_/299352", "title"=>"GSEA of the THP1r2<i>Mtb</i>-induced signature using transcriptomes from patients with other inflammatory or pathological conditions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-06-04 02:35:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/628484"], "description"=>"<p>(<b>A</b>) Illustration of expression patterns of differentially expressed genes (THP1r2<i>Mtb</i>) between 4 h to 18 h after <i>Mtb</i> infection. Those genes induced are most prominent, thus representing a common host transcriptome response signature spectrum. Genes whose promoter regions (2,000 bp upstream to 200 bp downstream of transcription start site) harbouring the putative TFBSs obtained from Expander <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367-Shamir1\" target=\"_blank\">[53]</a> were indicated by bars in blue. (<b>B</b>, <b>C</b>, and <b>D</b>) Significant functional and regulatory features in the THP1r2<i>Mtb</i>-induced signature, including GO for functional enrichments, KEGG for pathway enrichments and positional weighted matrix (PWM) for regulatory enrichments. Also listed underneath in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone-0038367-g003\" target=\"_blank\">Figure 3C</a> are genes involved in the cytokine-cytokine receptor interaction, wherein those independently validated by qRT-PCR were highlighted in bold (see also <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367.s005\" target=\"_blank\">Figure S5</a>).</p>", "links"=>[], "tags"=>["transcriptome"], "article_id"=>298966, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.g003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_common_host_transcriptome_response_signature_and_its_biological_characteristics_/298966", "title"=>"A common host transcriptome response signature and its biological characteristics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-04 02:29:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/628680"], "description"=>"<p>(<b>A</b>) qRT-PCR validation of <i>IFNB1</i> induction. Data were from samples as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone-0038367-g004\" target=\"_blank\">Figure 4</a>. ** for P-value<0.01. (<b>B</b>) Gene overlap of the THP1r2<i>Mtb</i>-induced signature and an active pulmonary TB (PTB) signature <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367-Berry1\" target=\"_blank\">[13]</a>. (<b>C</b>) Regulatory/TFBS enrichment analysis in promoter regions of the active PTB signature in the form of PWM. (<b>D</b>) Gene overlap analysis of predefined modules and the THP1r2<i>Mtb</i>-induced signature. Only those modules with more than 10% of genes (represented by the proportion of black area in the pie) presented in the THP1r2<i>Mtb</i>-induced signature were displayed. Functional interpretations of modules through literature profiling <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038367#pone.0038367-Chaussabel1\" target=\"_blank\">[15]</a> were indicated at lower panel. (<b>E</b>) Regulatory/TFBS enrichment analysis of module M3.1.</p>", "links"=>[], "tags"=>["irf-7", "supported", "cross-signature", "cross-module"], "article_id"=>299155, "categories"=>["Microbiology", "Biochemistry", "Infectious Diseases", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038367.g005", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Transcriptional_importance_of_STATs_IRF_1_and_IRF_7_as_supported_by_cross_signature_and_cross_module_comparisons_/299155", "title"=>"Transcriptional importance of STATs, IRF-1, and IRF-7 as supported by cross-signature and cross-module comparisons.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-04 02:32:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/326126", "https://ndownloader.figshare.com/files/326162", "https://ndownloader.figshare.com/files/326215", "https://ndownloader.figshare.com/files/326258", "https://ndownloader.figshare.com/files/326316", "https://ndownloader.figshare.com/files/326367", "https://ndownloader.figshare.com/files/326425", "https://ndownloader.figshare.com/files/326463", "https://ndownloader.figshare.com/files/326510", "https://ndownloader.figshare.com/files/326553", "https://ndownloader.figshare.com/files/326616", "https://ndownloader.figshare.com/files/326649", "https://ndownloader.figshare.com/files/326687", "https://ndownloader.figshare.com/files/326730", "https://ndownloader.figshare.com/files/326824", "https://ndownloader.figshare.com/files/326863", "https://ndownloader.figshare.com/files/326883"], "description"=>"<div><p>The W-Beijing family of <em>Mycobacterium tuberculosis</em> (<em>Mtb</em>) strains is known for its high-prevalence and -virulence, as well as for its genetic diversity, as recently reported by our laboratories and others. However, little is known about how the immune system responds to these strains. To explore this issue, here we used reverse engineering and genome-wide expression profiling of human macrophage-like THP-1 cells infected by different <em>Mtb</em> strains of the W-Beijing family, as well as by the reference laboratory strain H37Rv. Detailed data mining revealed that host cell transcriptome responses to H37Rv and to different strains of the W-Beijing family are similar and overwhelmingly induced during <em>Mtb</em> infections, collectively typifying a robust gene expression signature (“THP1r2<em>Mtb</em>-induced signature”). Analysis of the putative transcription factor binding sites in promoter regions of genes in this signature identified several key regulators, namely STATs, IRF-1, IRF-7, and Oct-1, commonly involved in interferon-related immune responses. The THP1r2<em>Mtb</em>-induced signature appeared to be highly relevant to the interferon-inducible signature recently reported in active pulmonary tuberculosis patients, as revealed by cross-signature and cross-module comparisons. Further analysis of the publicly available transcriptome data from human patients showed that the signature appears to be relevant to active pulmonary tuberculosis patients and their clinical therapy, and be tuberculosis specific. Thus, our results provide an additional layer of information at the transcriptome level on mechanisms involved in host macrophage response to <em>Mtb</em>, which may also implicate the robustness of the cellular defense system that can effectively fight against genetic heterogeneity in this pathogen.</p> </div>", "links"=>[], "tags"=>["interferon-related", "transcriptional", "macrophages"], "article_id"=>124353, "categories"=>["Cancer", "Microbiology", "Biochemistry", "Immunology", "Molecular Biology", "Genetics"], "users"=>["Kang Wu", "Dandan Dong", "Hai Fang", "Florence Levillain", "Wen Jin", "Jian Mei", "Brigitte Gicquel", "Yanzhi Du", "Kankan Wang", "Qian Gao", "Olivier Neyrolles", "Ji Zhang"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0038367.s001", "https://dx.doi.org/10.1371/journal.pone.0038367.s002", "https://dx.doi.org/10.1371/journal.pone.0038367.s003", "https://dx.doi.org/10.1371/journal.pone.0038367.s004", "https://dx.doi.org/10.1371/journal.pone.0038367.s005", "https://dx.doi.org/10.1371/journal.pone.0038367.s006", "https://dx.doi.org/10.1371/journal.pone.0038367.s007", "https://dx.doi.org/10.1371/journal.pone.0038367.s008", "https://dx.doi.org/10.1371/journal.pone.0038367.s009", "https://dx.doi.org/10.1371/journal.pone.0038367.s010", "https://dx.doi.org/10.1371/journal.pone.0038367.s011", "https://dx.doi.org/10.1371/journal.pone.0038367.s012", "https://dx.doi.org/10.1371/journal.pone.0038367.s013", "https://dx.doi.org/10.1371/journal.pone.0038367.s014", "https://dx.doi.org/10.1371/journal.pone.0038367.s015", "https://dx.doi.org/10.1371/journal.pone.0038367.s016", "https://dx.doi.org/10.1371/journal.pone.0038367.s017"], "stats"=>{"downloads"=>6, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/An_Interferon_Related_Signature_in_the_Transcriptional_Core_Response_of_Human_Macrophages_to_Mycobacterium_tuberculosis_Infection/124353", "title"=>"An Interferon-Related Signature in the Transcriptional Core Response of Human Macrophages to <em>Mycobacterium tuberculosis</em> Infection", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-06-04 01:12:33"}

PMC Usage Stats | Further Information

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