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Dive into the research topics where Gang Wu is active.

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Featured researches published by Gang Wu.


Bioinformatics | 2016

MetaCycle: an integrated R package to evaluate periodicity in large scale data.

Gang Wu; Ron C. Anafi; Michael E. Hughes; Karl Kornacker; John B. Hogenesch

Detecting periodicity in large scale data remains a challenge. While efforts have been made to identify best of breed algorithms, relatively little research has gone into integrating these methods in a generalizable method. Here, we present MetaCycle, an R package that incorporates ARSER, JTK_CYCLE and Lomb-Scargle to conveniently evaluate periodicity in time-series data. MetaCycle has two functions, meta2d and meta3d, designed to analyze two-dimensional and three-dimensional time-series datasets, respectively. Meta2d implements N-version programming concepts using a suite of algorithms and integrating their results.nnnAVAILABILITY AND IMPLEMENTATIONnMetaCycle package is available on the CRAN repository (https://cran.r-project.org/web/packages/MetaCycle/index.html) and GitHub (https://github.com/gangwug/MetaCycle)[email protected] information: Supplementary data are available at Bioinformatics online.


Cell Metabolism | 2017

Clock Regulation of Metabolites Reveals Coupling between Transcription and Metabolism

Saikumari Y. Krishnaiah; Gang Wu; Brian J. Altman; Jacqueline Growe; Seth D. Rhoades; Faith Coldren; Anand Venkataraman; Anthony O. Olarerin-George; Lauren J. Francey; Sarmistha Mukherjee; Saiveda Girish; Christopher P. Selby; Sibel Cal; Ubeydullah Er; Bahareh Sianati; Arjun Sengupta; Ron C. Anafi; I. Halil Kavakli; Aziz Sancar; Joseph A. Baur; Chi V. Dang; John B. Hogenesch; Aalim M. Weljie

The intricate connection between the circadian clock and metabolism remains poorly understood. We used high temporal resolution metabolite profiling to explore clock regulation of mouse liver and cell-autonomous metabolism. In liver, ∼50% of metabolites were circadian, with enrichment of nucleotide, amino acid, and methylation pathways. In U2 OS cells, 28% were circadian, including amino acids and NAD biosynthesis metabolites. Eighteen metabolites oscillated in both systems and a subset of these in primary hepatocytes. These 18 metabolites were enriched in methylation and amino acid pathways. To assess clock dependence of these rhythms, we used genetic perturbation. BMAL1 knockdown diminished metabolite rhythms, while CRY1 or CRY2 perturbation generally shortened or lengthened rhythms, respectively. Surprisingly, CRY1 knockdown induced 8xa0hr rhythms in amino acid, methylation, and vitamin metabolites, decoupling metabolite from transcriptional rhythms, with potential impact on nutrient sensing inxa0vivo. These results provide the first comprehensive views of circadian liver and cell-autonomous metabolism.


eLife | 2016

Neural clocks and Neuropeptide F/Y regulate circadian gene expression in a peripheral metabolic tissue.

Renske Erion; Anna N. King; Gang Wu; John B. Hogenesch; Amita Sehgal

Metabolic homeostasis requires coordination between circadian clocks in different tissues. Also, systemic signals appear to be required for some transcriptional rhythms in the mammalian liver and the Drosophila fat body. Here we show that free-running oscillations of the fat body clock require clock function in the PDF-positive cells of the fly brain. Interestingly, rhythmic expression of the cytochrome P450 transcripts, sex-specific enzyme 1 (sxe1) and Cyp6a21, which cycle in the fat body independently of the local clock, depends upon clocks in neurons expressing neuropeptide F (NPF). NPF signaling itself is required to drive cycling of sxe1 and Cyp6a21 in the fat body, and its mammalian ortholog, Npy, functions similarly to regulate cycling of cytochrome P450 genes in the mouse liver. These data highlight the importance of neuronal clocks for peripheral rhythms, particularly in a specific detoxification pathway, and identify a novel and conserved role for NPF/Npy in circadian rhythms. DOI: http://dx.doi.org/10.7554/eLife.13552.001


Journal of Biological Rhythms | 2017

Guidelines for Genome-Scale Analysis of Biological Rhythms

Michael E. Hughes; Katherine C. Abruzzi; Ravi Allada; Ron C. Anafi; Alaaddin Bulak Arpat; Gad Asher; Pierre Baldi; Charissa de Bekker; Deborah Bell-Pedersen; Justin Blau; Steve Brown; M. Fernanda Ceriani; Zheng Chen; Joanna C. Chiu; Juergen Cox; Alexander M. Crowell; Jason P. DeBruyne; Derk-Jan Dijk; Luciano DiTacchio; Francis J. Doyle; Giles E. Duffield; Jay C. Dunlap; Kristin Eckel-Mahan; Karyn A. Esser; Garret A. FitzGerald; Daniel B. Forger; Lauren J. Francey; Ying-Hui Fu; Frédéric Gachon; David Gatfield

Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them.


bioRxiv | 2018

Population level rhythms in human skin: implications for circadian medicine

Gang Wu; Marc Ruben; Robert E. Schmidt; Lauren J. Francey; David F. Smith; Ron C. Anafi; Jacob J. Hughey; Ryan Tasseff; Joseph D. Sherrill; John Erich Oblong; Kevin John Mills; John B. Hogenesch

Skin is the largest organ in the body and serves important barrier, regulatory, and sensory functions. Like other tissues, skin is subject to temporal fluctuations in physiological responses under both homeostatic and stressed states. To gain insight into these fluctuations, we investigated the role of the circadian clock in the transcriptional regulation of epidermis using a hybrid experimental design, where a limited set of human subjects (n=20) were sampled throughout the 24 h cycle and a larger population (n=219) were sampled once. By looking at pairwise correlations of core clock genes in 298 skin samples, we found a robust circadian oscillator in skin at the population level. Encouraged by this, we used CYCLOPS to reconstruct the temporal order of all samples and identified hundreds of rhythmically-expressed genes at the population level in human skin. We compared these results with published time-series skin data from mouse and show strong concordance in circadian phase across species for both transcripts and pathways. Further, like blood, skin is readily accessible and a potential source of biomarkers. Using ZeitZeiger, we identified a biomarker set for human skin that is capable of reporting circadian phase to within 3 h from a single sample. In summary, we show rhythms in human skin that persist at the population scale and a path to develop robust single-sample circadian biomarkers. One Sentence Summary Human epidermis shows strong circadian rhythms at the population scale and provides a better source for developing robust, single-sample circadian phase biomarkers than human blood.


bioRxiv | 2018

A population-based human enCYCLOPedia for circadian medicine

Marc Ruben; Gang Wu; David F. Smith; Robert E. Schmidt; Lauren J. Francey; Ron C. Anafi; John B. Hogenesch

The discovery that half of the mammalian protein-coding genome is clock-regulated has clear implications for medicine. Indeed, recent studies demonstrate time-of-day impact on therapeutic outcomes in human heart disease and cancer. Yet biological time is rarely given clinical consideration. A key barrier is the absence of information on the what and where of molecular rhythms in the human body. Here, we have applied CYCLOPS, an algorithm designed to reconstruct sample order in the absence of time-of-day information, to the GTEx collection of 632 human donors contributing 4,292 RNA-seq samples from 13 distinct human tissue types. We identify rhythms in expression across the body that persist at the population-level. This includes a set of ‘ubiquitous cyclers’ comprised of well-established circadian clock factors but also many genes without prior circadian context. Among thousands of tissue-divergent rhythms, we discover a set of genes robustly oscillating in cardiovascular tissue, including key drug targets relevant to heart disease. These results also have implications for genetic studies where circadian variability may have masked genetic influence. It is our hope that the human enCYCLOPedia helps drive the translation of circadian biology into prospective clinical trials in cardiology and many other therapeutic areas. One Sentence Summary Bioinformatic analyses on thousands of human tissue samples reveals an enCYCLOPedia of rhythmic gene expression across the body and identifies key translational opportunities for circadian medicine in cardiovascular disease.


bioRxiv | 2018

An adipocyte light-Opsin 3 pathway regulates the circadian clock and energy balance.

Shruti Vemaraju; Gowri Nayak; Ethan D. Buhr; Yoshinobu Odaka; Kevin X Zhang; Julie A Mocko; April N. Smith; Brian A Upton; Jesse J Zhan; Vishnupriya J. Borra; Elise Bernhard; Kazutoshi Murakami; Minh-thanh Nguyen; Shannon A Gordon; Gang Wu; Robert E. Schmidt; Xue Mei; Nathan T Petts; Matthew Batie; Sujata Rao; John B. Hogenesch; Takahisa Nakamura; Russell N. Van Gelder; Richard A. Lang

Almost all life forms can detect and decode light information for adaptive advantage. Examples include the visual system, where photoreceptor signals are processed into virtual images, and the circadian system, where light entrains a physiological clock. Here we describe a pathway in mice that employs encephalopsin (OPN3, a 480 nm light responsive opsin) to mediate light responses in murine adipocytes. The adipocyte light-OPN3 pathway regulates neonatal growth in mice and is required for at least three important functions including (1) photoentrainment of a local circadian clock, (2) extracellular matrix deposition, and (3) regulation of mitochondrial content and the proportion of “brite” adipocytes. Furthermore, we show that the light-OPN3 pathway is required for normal levels of uncoupling protein 1 (UCP1) in white and brown adipose tissue. Consequently, neonatal Opn3 germ-line and adipocyte-conditional null mice show a reduced ability to maintain their body temperature under cold stress. This was also observed in wild-type mice deprived of blue light. We hypothesize that the adipocyte light-OPN3 pathway provides a dynamically responsive, circadian clock-integrated mechanism for regulating adipocyte function and in turn directing metabolism to thermogenesis rather than anabolism. These data indicate an important role for peripheral light sensing in mammals and may have broad implications for human health given the unnatural lighting conditions in which we live.


Science Translational Medicine | 2018

A database of tissue-specific rhythmically expressed human genes has potential applications in circadian medicine

Marc Ruben; Gang Wu; David F. Smith; Robert E. Schmidt; Lauren J. Francey; Yin Yeng Lee; Ron C. Anafi; John B. Hogenesch

Bioinformatic analyses of human tissue samples were used to build a database of rhythmically expressed genes across the body. Body timing Although the existence of circadian clock–dependent modulation of gene expression in humans has been known for more than a decade, the relevance of the circadian clock in drug response and therapeutic outcome has been only recently appreciated. Now, Ruben et al. used an algorithm called cyclic ordering by periodic structure (CYCLOPS) to create a database of cycling genes in 13 human tissues. The authors show that several rhythmically expressed genes code for known drug targets or for proteins involved in drug transport and metabolism. The data represent a useful resource for circadian medicine and strengthen the notion that circadian rhythms should be considered when determining therapeutic interventions. The discovery that half of the mammalian protein-coding genome is regulated by the circadian clock has clear implications for medicine. Recent studies demonstrated that the circadian clock influences therapeutic outcomes in human heart disease and cancer. However, biological time is rarely given clinical consideration. A key barrier is the absence of information on tissue-specific molecular rhythms in the human body. We have applied the cyclic ordering by periodic structure (CYCLOPS) algorithm, designed to reconstruct sample temporal order in the absence of time-of-day information, to the gene expression collection of 13 tissues from 632 human donors. We identified rhythms in gene expression across the body; nearly half of protein-coding genes were shown to be cycling in at least 1 of the 13 tissues analyzed. One thousand of these cycling genes encode proteins that either transport or metabolize drugs or are themselves drug targets. These results provide a useful resource for studying the role of circadian rhythms in medicine and support the idea that biological time might play a role in determining drug response.


Proceedings of the National Academy of Sciences of the United States of America | 2018

Cisplatin-DNA adduct repair of transcribed genes is controlled by two circadian programs in mouse tissues

Yanyan Yang; Ogun Adebali; Gang Wu; Christopher P. Selby; Yi Ying Chiou; Naim Rashid; Jinchuan Hu; John B. Hogenesch; Aziz Sancar

Significance Cisplatin is a front-line drug in treatment of most solid tissue cancers. It kills cancer cells by damaging their DNA. Although it is quite effective it has two major drawbacks. First, it has serious side effects, including nephrotoxicity, hepatotoxicity, and neurotoxicity. Secondly, some cancers exhibit primary or acquired resistance to the drug which limit its usefulness. Attempts have been made to administer the drug at certain times of the day (chronochemotherapy) to overcome these limitations but these attempts have had very limited success. Here, we generate genome-wide and at single-nucleotide-resolution circadian DNA repair maps for mouse kidney and liver with the ultimate goal of developing a rational cisplatin chronochemotherapy regimen. Cisplatin is a major cancer chemotherapeutic drug. It kills cancer cells by damaging their DNA, mainly in the form of Pt-d(GpG) diadducts. However, it also has serious side effects, including nephrotoxicity and hepatotoxicity that limit its usefulness. Chronotherapy is taking circadian time into account during therapy to improve the therapeutic index, by improving efficacy and/or limiting toxicity. To this end, we tested the impact of clock time on excision repair of cisplatin-induced DNA damage at single-nucleotide resolution across the genome in mouse kidney and liver. We found that genome repair is controlled by two circadian programs. Repair of the transcribed strand (TS) of active, circadian-controlled genes is dictated by each gene’s phase of transcription, which falls across the circadian cycle with prominent peaks at dawn and dusk. In contrast, repair of the nontranscribed strand (NTS) of all genes, repair of intergenic DNA, and global repair overall peaks at Zeitgeber time ZT08, as basal repair capacity, which is controlled by the circadian clock, peaks at this circadian time. Consequently, the TS and NTS of many genes are repaired out of phase. As most cancers are thought to have defective circadian rhythms, these results suggest that future research on timed dosage of cisplatin could potentially reduce damage to healthy tissue and improve its therapeutic index.


Otolaryngology-Head and Neck Surgery | 2018

Circadian Dysregulation: The Next Frontier in Obstructive Sleep Apnea Research

Douglas C. von Allmen; Lauren J. Francey; Garrett M. Rogers; Marc Ruben; Aliza P. Cohen; Gang Wu; Robert E. Schmidt; Stacey L. Ishman; Raouf S. Amin; John B. Hogenesch; David F. Smith

Objective To review the effects of the circadian clock on homeostasis, the functional interaction between the circadian clock and hypoxia-inducible factors, and the role of circadian dysregulation in the progression of cardiopulmonary disease in obstructive sleep apnea (OSA). Data Sources The MEDLINE database was accessed through PubMed. Review Methods A general review is presented on molecular pathways disrupted in OSA, circadian rhythms and the role of the circadian clock, hypoxia signaling, crosstalk between the circadian and hypoxia systems, the role of the circadian clock in cardiovascular disease, and implications for practice. Studies included in this State of the Art Review demonstrate the potential contribution of the circadian clock and hypoxia in animal models or human disease. Conclusions Molecular crosstalk between the circadian clock and hypoxia-inducible factors has not been evaluated in disease models of OSA. Implications for Practice Pediatric OSA is highly prevalent and, if left untreated, may lead to cardiopulmonary sequelae. Changes in inflammatory markers that normally demonstrate circadian rhythmicity are also seen among patients with OSA. Hypoxia-inducible transcription factors interact with core circadian clock transcription factors; however, the interplay between these pathways has not been elucidated in the cardiopulmonary system. This gap in knowledge hinders our ability to identify potential biomarkers of OSA and develop alternative therapeutic strategies. A deeper understanding of the mechanisms by which OSA impinges on clock function and the impact of clock dysregulation on the cardiopulmonary system may lead to future advancements for the care of patients with OSA. The aim of this review is to shed light on this important clinical topic.

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John B. Hogenesch

Cincinnati Children's Hospital Medical Center

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Ron C. Anafi

University of Pennsylvania

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Lauren J. Francey

Cincinnati Children's Hospital Medical Center

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Robert E. Schmidt

Cincinnati Children's Hospital Medical Center

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David F. Smith

University of Cincinnati

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Marc Ruben

Cincinnati Children's Hospital Medical Center

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Aziz Sancar

University of North Carolina at Chapel Hill

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Christopher P. Selby

University of North Carolina at Chapel Hill

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Michael E. Hughes

University of Missouri–St. Louis

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Aalim M. Weljie

University of Pennsylvania

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