Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Andrew J. Oler is active.

Publication


Featured researches published by Andrew J. Oler.


Immunity | 2012

The Transcription Factor T-bet Is Induced by Multiple Pathways and Prevents an Endogenous Th2 Cell Program during Th1 Cell Responses

Dragana Jankovic; Andrew J. Oler; Gang Wei; Suveena Sharma; Gangqing Hu; Liying Guo; Ryoji Yagi; Hidehiro Yamane; George Punkosdy; Lionel Feigenbaum; Keji Zhao; William E. Paul

T-bet is a critical transcription factor for T helper 1 (Th1) cell differentiation. To study the regulation and functions of T-bet, we developed a T-bet-ZsGreen reporter mouse strain. We determined that interleukin-12 (IL-12) and interferon-γ (IFN-γ) were redundant in inducing T-bet in mice infected with Toxoplasma gondii and that T-bet did not contribute to its own expression when induced by IL-12 and IFN-γ. By contrast, T-bet and the transcription factor Stat4 were critical for IFN-γ production whereas IFN-γ signaling was dispensable for inducing IFN-γ. Loss of T-bet resulted in activation of an endogenous program driving Th2 cell differentiation in cells expressing T-bet-ZsGreen. Genome-wide analyses indicated that T-bet directly induced many Th1 cell-related genes but indirectly suppressed Th2 cell-related genes. Our study revealed redundancy and synergy among several Th1 cell-inducing pathways in regulating the expression of T-bet and IFN-γ, and a critical role of T-bet in suppressing an endogenous Th2 cell-associated program.


American Journal of Respiratory and Critical Care Medicine | 2015

Pulmonary Nontuberculous Mycobacterial Infection. A Multisystem, Multigenic Disease

Eva P. Szymanski; Janice M. Leung; Cedar J. Fowler; Carissa Haney; Amy P. Hsu; Fei Chen; Priya Duggal; Andrew J. Oler; Ryan McCormack; Eckhard R. Podack; Rebecca A. Drummond; Michail S. Lionakis; Sarah K. Browne; D. Rebecca Prevots; Gary Cutting; Xinyue Liu; Scott E. Devine; Claire M. Fraser; Hervé Tettelin; Kenneth N. Olivier; Steven M. Holland

RATIONALE The clinical features of patients infected with pulmonary nontuberculous mycobacteria (PNTM) are well described, but the genetic components of infection susceptibility are not. OBJECTIVES To examine genetic variants in patients with PNTM, their unaffected family members, and a control group. METHODS Whole-exome sequencing was done on 69 white patients with PNTM and 18 of their white unaffected family members. We performed a candidate gene analysis using immune, cystic fibrosis transmembrance conductance regulator (CFTR), cilia, and connective tissue gene sets. The numbers of patients, family members, and control subjects with variants in each category were compared, as was the average number of variants per person. MEASUREMENTS AND MAIN RESULTS A significantly higher number of patients with PNTM than the other subjects had low-frequency, protein-affecting variants in immune, CFTR, cilia, and connective tissue categories (35, 26, 90, and 90%, respectively). Patients with PNTM also had significantly more cilia and connective tissue variants per person than did control subjects (2.47 and 2.55 compared with 1.38 and 1.40, respectively; P = 1.4 × 10(-6) and P = 2.7 × 10(-8), respectively). Patients with PNTM had an average of 5.26 variants across all categories (1.98 in control subjects; P = 2.8 × 10(-17)), and they were more likely than control subjects to have variants in multiple categories. We observed similar results for family members without PNTM infection, with the exception of the immune category. CONCLUSIONS Patients with PNTM have more low-frequency, protein-affecting variants in immune, CFTR, cilia, and connective tissue genes than their unaffected family members and control subjects. We propose that PNTM infection is a multigenic disease in which combinations of variants across gene categories, plus environmental exposures, increase susceptibility to the infection.


Nature Genetics | 2016

Elevated basal serum tryptase identifies a multisystem disorder associated with increased TPSAB1 copy number

Jonathan J. Lyons; Xiaomin Yu; Jason D. Hughes; Quang T. Le; Ali Jamil; Yun Bai; Nancy Ho; Ming Zhao; Yihui Liu; Michael P. O'Connell; Neil N. Trivedi; Celeste Nelson; Thomas DiMaggio; Nina Jones; Helen F. Matthews; Katie L. Lewis; Andrew J. Oler; Ryan J. Carlson; Peter D. Arkwright; Celine Hong; Sherene Agama; Todd M. Wilson; Sofie Tucker; Yu Zhang; Joshua McElwee; Maryland Pao; Sarah C Glover; Marc E. Rothenberg; Robert J Hohman; Kelly D. Stone

Elevated basal serum tryptase levels are present in 4–6% of the general population, but the cause and relevance of such increases are unknown. Previously, we described subjects with dominantly inherited elevated basal serum tryptase levels associated with multisystem complaints including cutaneous flushing and pruritus, dysautonomia, functional gastrointestinal symptoms, chronic pain, and connective tissue abnormalities, including joint hypermobility. Here we report the identification of germline duplications and triplications in the TPSAB1 gene encoding α-tryptase that segregate with inherited increases in basal serum tryptase levels in 35 families presenting with associated multisystem complaints. Individuals harboring alleles encoding three copies of α-tryptase had higher basal serum levels of tryptase and were more symptomatic than those with alleles encoding two copies, suggesting a gene-dose effect. Further, we found in two additional cohorts (172 individuals) that elevated basal serum tryptase levels were exclusively associated with duplication of α-tryptase–encoding sequence in TPSAB1, and affected individuals reported symptom complexes seen in our initial familial cohort. Thus, our findings link duplications in TPSAB1 with irritable bowel syndrome, cutaneous complaints, connective tissue abnormalities, and dysautonomia.


Nature Communications | 2015

SINE transcription by RNA polymerase III is suppressed by histone methylation but not by DNA methylation

Dhaval Varshney; Jana Vavrova-Anderson; Andrew J. Oler; Victoria H. Cowling; Bradley R. Cairns; Robert J. White

Short interspersed nuclear elements (SINEs), such as Alu, spread by retrotransposition, which requires their transcripts to be copied into DNA and then inserted into new chromosomal sites. This can lead to genetic damage through insertional mutagenesis and chromosomal rearrangements between non-allelic SINEs at distinct loci. SINE DNA is heavily methylated and this was thought to suppress its accessibility and transcription, thereby protecting against retrotransposition. Here we provide several lines of evidence that methylated SINE DNA is occupied by RNA polymerase III, including the use of high-throughput bisulphite sequencing of ChIP DNA. We find that loss of DNA methylation has little effect on accessibility of SINEs to transcription machinery or their expression in vivo. In contrast, a histone methyltransferase inhibitor selectively promotes SINE expression and occupancy by RNA polymerase III. The data suggest that methylation of histones rather than DNA plays a dominant role in suppressing SINE transcription.


Proceedings of the National Academy of Sciences of the United States of America | 2013

Reintroducing domesticated wild mice to sociality induces adaptive transgenerational effects on MUP expression

Adam C. Nelson; Joseph W. Cauceglia; Seth D. Merkley; Neil A. Youngson; Andrew J. Oler; Randy J. Nelson; Bradley R. Cairns; Emma Whitelaw; Wayne K. Potts

Significance When wild-derived laboratory mice are reintroduced to socially competitive populations, they quickly adapt by producing attractive sons that otherwise have no fitness advantages, consistent with the sexy sons model of sexual selection. These attractive sons inherit up-regulated expression of several pheromones belonging to the major urinary protein (MUP) family. Up-regulation is controlled by maternal social experience, and is associated with epigenetic modifications of MUP promoters that could enhance transcription. Inheritance of up-regulated MUPs is likely adaptive because females have odor preferences for male scent marks with higher MUP concentration. These results represent one of only a few cases where parental social experience adaptively modifies progeny phenotype. When brought into captivity, wild animals can adapt to domestication within 10 generations. Such adaptations may decrease fitness in natural conditions. Many selective pressures are disrupted in captivity, including social behavioral networks. Although lack of sociality in captivity appears to mediate domestication, the underlying mechanisms are not well understood. Additionally, determining the contribution of genetic inheritance vs. transgenerational effects during relaxed selection may provide insight into the flexibility of adaptation. When wild-derived mice kept under laboratory conditions for eight generations were reintroduced to sociality and promiscuity (free mate choice), they adapted within two generations. Fitness assessments between this promiscuous lineage and a monogamous laboratory lineage revealed male-specific effects. Promiscuous-line males had deficits in viability, but a striking advantage in attracting mates, and their scent marks were also more attractive to females. Here, we investigate mechanistic details underlying this olfactory signal and identify a role of major urinary protein (MUP) pheromones. Promiscuous-line males inherit higher MUP expression than monogamous-line males through transgenerational inheritance. Sociality-driven maternal and paternal effects reveal intriguing conflicts among parents and offspring over pheromone expression. MUP up-regulation is not driven by hormone-driven transduction pathways, but rather is associated with reduction in DNA methylation of a CpG dinucleotide in the promoter. This reduction in methylation could enhance transcription by promoting the binding of transcription factor USF1 (upstream stimulatory factor 1). Finally, we experimentally demonstrate that increased MUP expression is a female attractant. These results identify molecular mechanisms guiding domestication and adaptive responses to fluctuating sociality.


The EMBO Journal | 2012

PP4 dephosphorylates Maf1 to couple multiple stress conditions to RNA polymerase III repression

Andrew J. Oler; Bradley R. Cairns

Maf1 is the ‘master’ repressor of RNA polymerase III (Pol III) transcription in yeast, and is conserved in eukaryotes. Maf1 is a phospho‐integrator, with unfavourable growth conditions leading to rapid Maf1 dephosphorylation, nuclear accumulation, binding to RNA Pol III at Pol III genes and transcriptional repression. Here, we establish the protein phosphatase 4 (PP4) complex as the main Maf1 phosphatase, and define the involved catalytic (Pph3), scaffold (Psy2) and regulatory subunits (Rrd1, Tip41), as well as uninvolved subunits (Psy4, Rrd2). Multiple approaches support a central role for PP4 in Maf1 dephosphorylation, Maf1 nuclear localization and the rapid repression of Pol III in the nucleus. PP4 action is likely direct, as a portion of PP4 co‐precipitates with Maf1, and purified PP4 dephosphorylates Maf1 in vitro. Furthermore, Pph3 mediates (either largely or fully) rapid Maf1 dephosphorylation in response to diverse stresses, suggesting PP4 plays a key role in the integration of cell nutrition and stress conditions by Maf1 to enable Pol III regulation.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Endogenous retrovirus induces leukemia in a xenograft mouse model for primary myelofibrosis.

Ioanna Triviai; Marion Ziegler; Ulla Bergholz; Andrew J. Oler; Thomas Stübig; Vladimir Prassolov; Boris Fehse; Christine A. Kozak; Nicolaus Kröger; Carol Stocking

Significance Immunodeficient mice are important tools to define stem cells that drive malignancies (cancers). Primary myelofibrosis (PMF) is a chronic myeloproliferative neoplasm that can progress to malignant leukemia. In a study to define PMF stem cells in transplanted mice, we observed a high incidence of mouse leukemia. We show that endogenous retrovirus (ERV), whose replication is unrestricted in immunodeficient mice, are pathogenic in the PMF-xenograft microenvironment, likely because of increased numbers of proliferating mouse cells stimulated by PMF-derived cells. Proliferating cells are targets of retroviral transformation and spontaneous mutations, and thus susceptible to leukemia induction. These results substantiate the importance of paracrine mechanisms in PMF disease and expose the presence of replicating ERVs in mice commonly used to model human diseases. The compound immunodeficiencies in nonobese diabetic (NOD) inbred mice homozygous for the Prkdcscid and Il2rgnull alleles (NSG mice) permit engraftment of a wide-range of primary human cells, enabling sophisticated modeling of human disease. In studies designed to define neoplastic stem cells of primary myelofibrosis (PMF), a myeloproliferative neoplasm characterized by profound disruption of the hematopoietic microenvironment, we observed a high frequency of acute myeloid leukemia (AML) in NSG mice. AML was of mouse origin, confined to PMF-xenografted mice, and contained multiple clonal integrations of ecotropic murine leukemia virus (E-MuLV). Significantly, MuLV replication was not only observed in diseased mice, but also in nontreated NSG controls. Furthermore, in addition to the single ecotropic endogenous retrovirus (eERV) located on chromosome 11 (Emv30) in the NOD genome, multiple de novo germ-line eERV integrations were observed in mice from each of four independent NSG mouse colonies. Analysis confirmed that E-MuLV originated from the Emv30 provirus and that recombination events were not necessary for virus replication or AML induction. Pathogenicity is thus likely attributable to PMF-mediated paracrine stimulation of mouse myeloid cells, which serve as targets for retroviral infection and transformation, as evidenced by integration into the Evi1 locus, a hotspot for retroviral-induced myeloid leukemia. This study thus corroborates a role of paracrine stimulation in PMF disease progression, underlines the importance of target cell type and numbers in MuLV-induced disease, and mandates awareness of replicating MuLV in NOD immunodeficient mice, which can significantly influence experimental results and their interpretation.


PeerJ | 2014

Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses

Olga Golosova; Ross Henderson; Yuriy Vaskin; Andrei Gabrielian; German Grekhov; Vijayaraj Nagarajan; Andrew J. Oler; Mariam Quiñones; Darrell E. Hurt; Mikhail Fursov; Yentram Huyen

The advent of Next Generation Sequencing (NGS) technologies has opened new possibilities for researchers. However, the more biology becomes a data-intensive field, the more biologists have to learn how to process and analyze NGS data with complex computational tools. Even with the availability of common pipeline specifications, it is often a time-consuming and cumbersome task for a bench scientist to install and configure the pipeline tools. We believe that a unified, desktop and biologist-friendly front end to NGS data analysis tools will substantially improve productivity in this field. Here we present NGS pipelines “Variant Calling with SAMtools”, “Tuxedo Pipeline for RNA-seq Data Analysis” and “Cistrome Pipeline for ChIP-seq Data Analysis” integrated into the Unipro UGENE desktop toolkit. We describe the available UGENE infrastructure that helps researchers run these pipelines on different datasets, store and investigate the results and re-run the pipelines with the same parameters. These pipeline tools are included in the UGENE NGS package. Individual blocks of these pipelines are also available for expert users to create their own advanced workflows.


PLOS ONE | 2016

Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples

Jennifer Barb; Andrew J. Oler; Hyungsuk Kim; Natalia I. Chalmers; Gwenyth R. Wallen; Ann Cashion; Peter J. Munson; Nancy J. Ames

Objectives There is much speculation on which hypervariable region provides the highest bacterial specificity in 16S rRNA sequencing. The optimum solution to prevent bias and to obtain a comprehensive view of complex bacterial communities would be to sequence the entire 16S rRNA gene; however, this is not possible with second generation standard library design and short-read next-generation sequencing technology. Methods This paper examines a new process using seven hypervariable or V regions of the 16S rRNA (six amplicons: V2, V3, V4, V6-7, V8, and V9) processed simultaneously on the Ion Torrent Personal Genome Machine (Life Technologies, Grand Island, NY). Four mock samples were amplified using the 16S Ion Metagenomics Kit™ (Life Technologies) and their sequencing data is subjected to a novel analytical pipeline. Results Results are presented at family and genus level. The Kullback-Leibler divergence (DKL), a measure of the departure of the computed from the nominal bacterial distribution in the mock samples, was used to infer which region performed best at the family and genus levels. Three different hypervariable regions, V2, V4, and V6-7, produced the lowest divergence compared to the known mock sample. The V9 region gave the highest (worst) average DKL while the V4 gave the lowest (best) average DKL. In addition to having a high DKL, the V9 region in both the forward and reverse directions performed the worst finding only 17% and 53% of the known family level and 12% and 47% of the genus level bacteria, while results from the forward and reverse V4 region identified all 17 family level bacteria. Conclusions The results of our analysis have shown that our sequencing methods using 6 hypervariable regions of the 16S rRNA and subsequent analysis is valid. This method also allowed for the assessment of how well each of the variable regions might perform simultaneously. Our findings will provide the basis for future work intended to assess microbial abundance at different time points throughout a clinical protocol.


Journal of Experimental Medicine | 2017

Recurrent rhinovirus infections in a child with inherited MDA5 deficiency

Ian T. Lamborn; Huie Jing; Yu Zhang; Scott Drutman; Jordan K. Abbott; Shirin Munir; Sangeeta Bade; Heardley M. Murdock; Celia Santos; Linda G. Brock; Evan Masutani; Emmanuel Y. Fordjour; Joshua McElwee; Jason D. Hughes; Dave P. Nichols; Aziz Belkadi; Andrew J. Oler; Corinne S. Happel; Helen F. Matthews; Laurent Abel; Peter L. Collins; Kanta Subbarao; Erwin W. Gelfand; Michael J. Ciancanelli; Jean-Laurent Casanova; Helen C.F. Su

MDA5 is a cytosolic sensor of double-stranded RNA (ds)RNA including viral byproducts and intermediates. We studied a child with life-threatening, recurrent respiratory tract infections, caused by viruses including human rhinovirus (HRV), influenza virus, and respiratory syncytial virus (RSV). We identified in her a homozygous missense mutation in IFIH1 that encodes MDA5. Mutant MDA5 was expressed but did not recognize the synthetic MDA5 agonist/(ds)RNA mimic polyinosinic-polycytidylic acid. When overexpressed, mutant MDA5 failed to drive luciferase activity from the IFNB1 promoter or promoters containing ISRE or NF-&kgr;B sequence motifs. In respiratory epithelial cells or fibroblasts, wild-type but not knockdown of MDA5 restricted HRV infection while increasing IFN-stimulated gene expression and IFN-&bgr;/&lgr;. However, wild-type MDA5 did not restrict influenza virus or RSV replication. Moreover, nasal epithelial cells from the patient, or fibroblasts gene-edited to express mutant MDA5, showed increased replication of HRV but not influenza or RSV. Thus, human MDA5 deficiency is a novel inborn error of innate and/or intrinsic immunity that causes impaired (ds)RNA sensing, reduced IFN induction, and susceptibility to the common cold virus.

Collaboration


Dive into the Andrew J. Oler's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Morgan Similuk

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Mariam Quiñones

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Amy P. Hsu

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Christine A. Kozak

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Darrell E. Hurt

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Joshua D. Milner

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Michael Weinreich

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Michail S. Lionakis

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Alicia Buckler-White

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge