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  1. Article: Sex Differences in Immune System Aging and Responsiveness to Vaccination.

    Yanicke, Steven / Ucar, Duygu

    The Public policy and aging report

    2023  Volume 33, Issue 4, Page(s) 125–127

    Language English
    Publishing date 2023-11-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2740987-9
    ISSN 2053-4892 ; 1055-3037
    ISSN (online) 2053-4892
    ISSN 1055-3037
    DOI 10.1093/ppar/prad027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Baseline immune states (BIS) associated with vaccine responsiveness and factors that shape the BIS.

    Nehar-Belaid, Djamel / Sokolowski, Mark / Ravichandran, Sathyabaarathi / Banchereau, Jacques / Chaussabel, Damien / Ucar, Duygu

    Seminars in immunology

    2023  Volume 70, Page(s) 101842

    Abstract: Vaccines are among the greatest inventions in medicine, leading to the elimination or control of numerous diseases, including smallpox, polio, measles, rubella, and, most recently, COVID-19. Yet, the effectiveness of vaccines varies among individuals. In ...

    Abstract Vaccines are among the greatest inventions in medicine, leading to the elimination or control of numerous diseases, including smallpox, polio, measles, rubella, and, most recently, COVID-19. Yet, the effectiveness of vaccines varies among individuals. In fact, while some recipients mount a robust response to vaccination that protects them from the disease, others fail to respond. Multiple clinical and epidemiological factors contribute to this heterogeneity in responsiveness. Systems immunology studies fueled by advances in single-cell biology have been instrumental in uncovering pre-vaccination immune cell types and genomic features (i.e., the baseline immune state, BIS) that have been associated with vaccine responsiveness. Here, we review clinical factors that shape the BIS, and the characteristics of the BIS associated with responsiveness to frequently studied vaccines (i.e., influenza, COVID-19, bacterial pneumonia, malaria). Finally, we discuss potential strategies to enhance vaccine responsiveness in high-risk groups, focusing specifically on older adults.
    MeSH term(s) Humans ; Aged ; Vaccines ; Measles/prevention & control ; Vaccination ; COVID-19/prevention & control
    Chemical Substances Vaccines
    Language English
    Publishing date 2023-09-15
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1018141-6
    ISSN 1096-3618 ; 1044-5323
    ISSN (online) 1096-3618
    ISSN 1044-5323
    DOI 10.1016/j.smim.2023.101842
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The effect of COVID-19 vaccinations on menstrual cycle and serum anti-Mullerian hormone levels in reproductive age women.

    Hasdemir, Pinar Solmaz / Senol Akar, Sebnem / Goker, Asli / Kosova, Funda / Ucar, Duygu / Ozalp Ates, Funda Seher / Akcali, Sinem

    Human fertility (Cambridge, England)

    2023  Volume 26, Issue 1, Page(s) 153–161

    Abstract: The aim of this prospective cohort study was to investigate the effect of coronavirus disease 2019 (COVID-19) vaccinations on menstrual cycle and ovarian reserve in reproductive aged-women. Health care providers ( ...

    Abstract The aim of this prospective cohort study was to investigate the effect of coronavirus disease 2019 (COVID-19) vaccinations on menstrual cycle and ovarian reserve in reproductive aged-women. Health care providers (
    MeSH term(s) Female ; Humans ; Adult ; Anti-Mullerian Hormone ; COVID-19 Vaccines ; Prospective Studies ; COVID-19/prevention & control ; SARS-CoV-2 ; Menstrual Cycle
    Chemical Substances Anti-Mullerian Hormone (80497-65-0) ; sinovac COVID-19 vaccine ; COVID-19 Vaccines
    Language English
    Publishing date 2023-03-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2086960-5
    ISSN 1742-8149 ; 1464-7273
    ISSN (online) 1742-8149
    ISSN 1464-7273
    DOI 10.1080/14647273.2023.2181710
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  4. Article: I-ATAC: interactive pipeline for the management and pre-processing of ATAC-seq samples.

    Ahmed, Zeeshan / Ucar, Duygu

    PeerJ

    2017  Volume 5, Page(s) e4040

    Abstract: Assay for Transposase Accessible Chromatin (ATAC-seq) is an open chromatin profiling assay that is adapted to interrogate chromatin accessibility from small cell numbers. ATAC-seq surmounted a major technical barrier and enabled epigenome profiling of ... ...

    Abstract Assay for Transposase Accessible Chromatin (ATAC-seq) is an open chromatin profiling assay that is adapted to interrogate chromatin accessibility from small cell numbers. ATAC-seq surmounted a major technical barrier and enabled epigenome profiling of clinical samples. With this advancement in technology, we are now accumulating ATAC-seq samples from clinical samples at an unprecedented rate. These epigenomic profiles hold the key to uncovering how transcriptional programs are established in diverse human cells and are disrupted by genetic or environmental factors. Thus, the barrier to deriving important clinical insights from clinical epigenomic samples is no longer one of data generation but of data analysis. Specifically, we are still missing easy-to-use software tools that will enable non-computational scientists to analyze their own ATAC-seq samples. To facilitate systematic pre-processing and management of ATAC-seq samples, we developed an interactive, cross-platform, user-friendly and customized desktop application: interactive-ATAC (I-ATAC). I-ATAC integrates command-line data processing tools (FASTQC, Trimmomatic, BWA, Picard, ATAC_BAM_shiftrt_gappedAlign.pl, Bedtools and Macs2) into an easy-to-use platform with user interface to automatically pre-process ATAC-seq samples with parallelized and customizable pipelines. Its performance has been tested using public ATAC-seq datasets in GM12878 and CD4+T cells and a feature-based comparison is performed with some available interactive LIMS (Galaxy, SMITH, SeqBench, Wasp, NG6, openBIS). I-ATAC is designed to empower non-computational scientists to process their own datasets and to break to exclusivity of data analyses to computational scientists. Additionally, I-ATAC is capable of processing WGS and ChIP-seq samples, and can be customized by the user for one-independent or multiple-sequential operations.
    Language English
    Publishing date 2017-11-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.4040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data.

    Lawlor, Nathan / Marquez, Eladio J / Lee, Donghyung / Ucar, Duygu

    Bioinformatics (Oxford, England)

    2020  Volume 36, Issue 11, Page(s) 3582–3584

    Abstract: Summary: Single-cell RNA-sequencing (scRNA-seq) technology enables studying gene expression programs from individual cells. However, these data are subject to diverse sources of variation, including 'unwanted' variation that needs to be removed in ... ...

    Abstract Summary: Single-cell RNA-sequencing (scRNA-seq) technology enables studying gene expression programs from individual cells. However, these data are subject to diverse sources of variation, including 'unwanted' variation that needs to be removed in downstream analyses (e.g. batch effects) and 'wanted' or biological sources of variation (e.g. variation associated with a cell type) that needs to be precisely described. Surrogate variable analysis (SVA)-based algorithms, are commonly used for batch correction and more recently for studying 'wanted' variation in scRNA-seq data. However, interpreting whether these variables are biologically meaningful or stemming from technical reasons remains a challenge. To facilitate the interpretation of surrogate variables detected by algorithms including IA-SVA, SVA or ZINB-WaVE, we developed an R Shiny application [Visual Surrogate Variable Analysis (V-SVA)] that provides a web-browser interface for the identification and annotation of hidden sources of variation in scRNA-seq data. This interactive framework includes tools for discovery of genes associated with detected sources of variation, gene annotation using publicly available databases and gene sets, and data visualization using dimension reduction methods.
    Availability and implementation: The V-SVA Shiny application is publicly hosted at https://vsva.jax.org/ and the source code is freely available at https://github.com/nlawlor/V-SVA.
    Contact: leed13@miamioh.edu or duygu.ucar@jax.org.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Gene Expression Profiling ; RNA-Seq ; Sequence Analysis, RNA ; Single-Cell Analysis ; Software
    Language English
    Publishing date 2020-03-02
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btaa128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.

    Thibodeau, Asa / Khetan, Shubham / Eroglu, Alper / Tewhey, Ryan / Stitzel, Michael L / Ucar, Duygu

    PLoS computational biology

    2021  Volume 17, Issue 12, Page(s) e1009670

    Abstract: Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from ... ...

    Abstract Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from single cells) by mapping accessible chromatin at base-pair resolution. However, these maps are not immediately useful for inferring specific functions of cis-REs. For this purpose, we developed a deep learning framework (CoRE-ATAC) with novel data encoders that integrate DNA sequence (reference or personal genotypes) with ATAC-seq cut sites and read pileups. CoRE-ATAC was trained on 4 cell types (n = 6 samples/replicates) and accurately predicted known cis-RE functions from 7 cell types (n = 40 samples) that were not used in model training (mean average precision = 0.80, mean F1 score = 0.70). CoRE-ATAC enhancer predictions from 19 human islet samples coincided with genetically modulated gain/loss of enhancer activity, which was confirmed by massively parallel reporter assays (MPRAs). Finally, CoRE-ATAC effectively inferred cis-RE function from aggregate single nucleus ATAC-seq (snATAC) data from human blood-derived immune cells that overlapped with known functional annotations in sorted immune cells, which established the efficacy of these models to study cis-RE functions of rare cells without the need for cell sorting. ATAC-seq maps from primary human cells reveal individual- and cell-specific variation in cis-RE activity. CoRE-ATAC increases the functional resolution of these maps, a critical step for studying regulatory disruptions behind diseases.
    MeSH term(s) Cells, Cultured ; Chromatin Immunoprecipitation Sequencing/methods ; Computational Biology ; DNA/analysis ; DNA/genetics ; Deep Learning ; Humans ; Islets of Langerhans/cytology ; Monocytes/cytology ; Regulatory Sequences, Nucleic Acid/genetics ; Single-Cell Analysis/methods
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2021-12-13
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1009670
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  7. Article: Amplification of the bromodomain-containing protein 4 gene in ovarian high-grade serous carcinoma is associated with worse prognosis and survival.

    Ucar, Duygu / Lin, Douglas I

    Molecular and clinical oncology

    2015  Volume 3, Issue 6, Page(s) 1291–1294

    Abstract: High-grade serous carcinoma (HGSC) of the ovary is an aggressive and devastating neoplasm and the identification of novel therapeutic targets may result in a significant decrease in patient morbidity and mortality. Over the last few years, chromatin ... ...

    Abstract High-grade serous carcinoma (HGSC) of the ovary is an aggressive and devastating neoplasm and the identification of novel therapeutic targets may result in a significant decrease in patient morbidity and mortality. Over the last few years, chromatin regulators have become attractive targets for cancer therapy. More specifically, bromodomain-containing protein 4 (BRD4), a protein that is associated with acetylated chromatin and transcriptional activation, has been shown to selectively regulate the transcription of key oncogenic drivers, such as
    Language English
    Publishing date 2015-08-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2796865-0
    ISSN 2049-9469 ; 2049-9450
    ISSN (online) 2049-9469
    ISSN 2049-9450
    DOI 10.3892/mco.2015.622
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  8. Article ; Online: Cell-specific gene promoters are marked by broader spans of H3K4me3 and are associated with robust gene expression patterns.

    Ucar, Duygu / Bayarsaihan, Dashzeveg

    Epigenomics

    2015  Volume 7, Issue 2, Page(s) 129–131

    MeSH term(s) Epigenesis, Genetic ; Gene Expression ; Histones/chemistry ; Histones/metabolism ; Humans ; Lysine/metabolism ; Promoter Regions, Genetic
    Chemical Substances Histones ; Lysine (K3Z4F929H6)
    Language English
    Publishing date 2015
    Publishing country England
    Document type Editorial
    ISSN 1750-192X
    ISSN (online) 1750-192X
    DOI 10.2217/epi.14.87
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Distinct baseline immune characteristics associated with responses to conjugated and unconjugated pneumococcal polysaccharide vaccines in older adults.

    Ravichandran, Sathyabaarathi / Erra-Diaz, Fernando / Karakaslar, Onur E / Marches, Radu / Kenyon-Pesce, Lisa / Rossi, Robert / Chaussabel, Damien / Nehar-Belaid, Djamel / LaFon, David C / Pascual, Virginia / Palucka, Karolina / Paust, Silke / Nahm, Moon H / Kuchel, George A / Banchereau, Jacques / Ucar, Duygu

    Nature immunology

    2024  Volume 25, Issue 2, Page(s) 316–329

    Abstract: Pneumococcal infections cause serious illness and death among older adults. The capsular polysaccharide vaccine PPSV23 and conjugated alternative PCV13 can prevent these infections; yet, underlying immunological responses and baseline predictors remain ... ...

    Abstract Pneumococcal infections cause serious illness and death among older adults. The capsular polysaccharide vaccine PPSV23 and conjugated alternative PCV13 can prevent these infections; yet, underlying immunological responses and baseline predictors remain unknown. We vaccinated 39 older adults (>60 years) with PPSV23 or PCV13 and observed comparable antibody responses (day 28) and plasmablast transcriptional responses (day 10); however, the baseline predictors were distinct. Analyses of baseline flow cytometry and bulk and single-cell RNA-sequencing data revealed a baseline phenotype specifically associated with weaker PCV13 responses, which was characterized by increased expression of cytotoxicity-associated genes, increased frequencies of CD16
    MeSH term(s) Male ; Humans ; Female ; Aged ; Vaccines, Conjugate ; Antibodies, Bacterial ; Double-Blind Method ; Streptococcus pneumoniae ; Vaccination ; Pneumococcal Vaccines ; Polysaccharides
    Chemical Substances Vaccines, Conjugate ; Antibodies, Bacterial ; Pneumococcal Vaccines ; Polysaccharides
    Language English
    Publishing date 2024-01-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2016987-5
    ISSN 1529-2916 ; 1529-2908
    ISSN (online) 1529-2916
    ISSN 1529-2908
    DOI 10.1038/s41590-023-01717-5
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  10. Article ; Online: Concomitant inhibition of PPARγ and mTORC1 induces the differentiation of human monocytes into highly immunogenic dendritic cells.

    Erra Diaz, Fernando / Mazzitelli, Ignacio / Bleichmar, Lucía / Melucci, Claudia / Thibodeau, Asa / Dalotto Moreno, Tomás / Marches, Radu / Rabinovich, Gabriel A / Ucar, Duygu / Geffner, Jorge

    Cell reports

    2023  Volume 42, Issue 3, Page(s) 112156

    Abstract: Monocytes can differentiate into macrophages (Mo-Macs) or dendritic cells (Mo-DCs). The cytokine granulocyte-macrophage colony-stimulating factor (GM-CSF) induces the differentiation of monocytes into Mo-Macs, while the combination of GM-CSF/interleukin ( ...

    Abstract Monocytes can differentiate into macrophages (Mo-Macs) or dendritic cells (Mo-DCs). The cytokine granulocyte-macrophage colony-stimulating factor (GM-CSF) induces the differentiation of monocytes into Mo-Macs, while the combination of GM-CSF/interleukin (IL)-4 is widely used to generate Mo-DCs for clinical applications and to study human DC biology. Here, we report that pharmacological inhibition of the nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) in the presence of GM-CSF and the absence of IL-4 induces monocyte differentiation into Mo-DCs. Remarkably, we find that simultaneous inhibition of PPARγ and the nutrient sensor mammalian target of rapamycin complex 1 (mTORC1) induces the differentiation of Mo-DCs with stronger phenotypic stability, superior immunogenicity, and a transcriptional profile characterized by a strong type I interferon (IFN) signature, a lower expression of a large set of tolerogenic genes, and the differential expression of several transcription factors compared with GM-CSF/IL-4 Mo-DCs. Our findings uncover a pathway that tailors Mo-DC differentiation with potential implications in the fields of DC vaccination and cancer immunotherapy.
    MeSH term(s) Humans ; Monocytes/metabolism ; Granulocyte-Macrophage Colony-Stimulating Factor/pharmacology ; Granulocyte-Macrophage Colony-Stimulating Factor/metabolism ; PPAR gamma/metabolism ; Interleukin-4/pharmacology ; Interleukin-4/metabolism ; Dendritic Cells/metabolism ; Cell Differentiation/physiology ; Cells, Cultured
    Chemical Substances Granulocyte-Macrophage Colony-Stimulating Factor (83869-56-1) ; PPAR gamma ; Interleukin-4 (207137-56-2)
    Language English
    Publishing date 2023-02-26
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2023.112156
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