Asprosin is a centrally acting orexigenic hormone

Duerrschmid, Clemens; Wang, C; C, Li; Jc, Bournat; Romere, Chase; Pk, Srivastava; Me, Lee; Kj, Phillips; Jain, Manjari; Jia, Ping; Zou, Hao; Farias, Maria Lúcia Fleiuss; Wu, Qisong; Dm, Milewicz; Vr, Sutton; Dd, Moore; Nf, Butte; Mj, Krashes; Xu, Yawei; Ar, Chopra

doi:10.1530/ey.15.11.12

Cited by 3 publications

(7 citation statements)

References 16 publications

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“…Our Bayesian analyses show the Bayes factor for HD over ST is ∼2, and the Bayes factor for a model with both correlations compared to a model with just HD is ∼1. These results are largely consistent with a similar study by Chen et al (2023), in which they searched NANOGrav's 15 yr data set for nontensorial GWBs on a similar timescale to the work presented here. Taking the spectral parameter recovery into account, as in Figure 3, we found each correlation, when fit for individually, is in agreement with CURN.…”

Section: Discussionsupporting

confidence: 92%

“…We also found more informative A log g 10 and γ g recovery for HD than ST, and HD parameters show better agreement with CURN spectral parameters when correlations are included together. The analyses in this Letter, as well as those in Bernardo & Ng (2023c) and Chen et al (2023), do not rule out the possibility of ST correlations in our data. However, our analysis also shows no statistical need for an additional stochastic process with ST correlations.…”

Section: Discussioncontrasting

confidence: 80%

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The NANOGrav 15 yr Data Set: Search for Transverse Polarization Modes in the Gravitational-wave Background

Agazie,

Anumarlapudi,

Archibald

et al. 2024

ApJL

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Recently we found compelling evidence for a gravitational-wave background with Hellings and Downs (HD) correlations in our 15 yr data set. These correlations describe gravitational waves as predicted by general relativity, which has two transverse polarization modes. However, more general metric theories of gravity can have additional polarization modes, which produce different interpulsar correlations. In this work, we search the NANOGrav 15 yr data set for evidence of a gravitational-wave background with quadrupolar HD and scalar-transverse (ST) correlations. We find that HD correlations are the best fit to the data and no significant evidence in favor of ST correlations. While Bayes factors show strong evidence for a correlated signal, the data does not strongly prefer either correlation signature, with Bayes factors ∼2 when comparing HD to ST correlations, and ∼1 for HD plus ST correlations to HD correlations alone. However, when modeled alongside HD correlations, the amplitude and spectral index posteriors for ST correlations are uninformative, with the HD process accounting for the vast majority of the total signal. Using the optimal statistic, a frequentist technique that focuses on the pulsar-pair cross-correlations, we find median signal-to-noise ratios of 5.0 for HD and 4.6 for ST correlations when fit for separately, and median signal-to-noise ratios of 3.5 for HD and 3.0 for ST correlations when fit for simultaneously. While the signal-to-noise ratios for each of the correlations are comparable, the estimated amplitude and spectral index for HD are a significantly better fit to the total signal, in agreement with our Bayesian analysis.

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Section: Discussionsupporting

confidence: 92%

Section: Discussioncontrasting

confidence: 80%

The NANOGrav 15 yr Data Set: Search for Transverse Polarization Modes in the Gravitational-wave Background

Agazie,

Anumarlapudi,

Archibald

et al. 2024

ApJL

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“…CSSQ performance on DB detection and quantification of broad peaks such as H3K27me3 was also robust. For K562/hESC analysis, among 41,948 "all K562 MRRs" and 35,023 "K562 only MRRs", CSSQ identified 17,552 and 16,554 DBs, respectively, and all (100%) of the CSSQ DBs were upregulated (Up DBs) (Figure 6B, Supplementary Figure S8), validating these regions being K562 MRRs as reported (Cai et al, 2021). The CSSQ H3K27me3 DBs were mostly concentrated in the "L" cluster (Supplementary Figure S8).…”

Section: Analysis Of Real Chip-seq Datasetssupporting

confidence: 81%

“…We next tested CSSQ performance on real ChIP-seq datasets of H3K4me3 and H3K27me3, two characteristic histone marks with typical sharp and broad peaks, respectively (Benayoun et al, 2014;Cai et al, 2021). Toward this end, we analyzed four well-characterized cell lines, including two human cell lines of different cell types, the H1 hESC cell line and the K562 myeloid leukemia cell line, as well as two highly similar mouse ESC cell lines, the wild-type (WT) and H1c/H1d/H1e triple knockout (TKO) ESCs (Fan et al, 2005;Consortium, 2011;Geeven et al, 2015).…”

Section: Analysis Of Real Chip-seq Datasetsmentioning

confidence: 99%

“…Toward this end, we analyzed four well-characterized cell lines, including two human cell lines of different cell types, the H1 hESC cell line and the K562 myeloid leukemia cell line, as well as two highly similar mouse ESC cell lines, the wild-type (WT) and H1c/H1d/H1e triple knockout (TKO) ESCs (Fan et al, 2005;Consortium, 2011;Geeven et al, 2015). H3K4me3 signals were analyzed for gene promoter regions flanking TSS, whereas H3K27me3 signals were compared for H3K27me3-rich regions [designated as "MRRs" or "super silencers" (Cai et al, 2021)]. The signals of H3K4me3 at gene promoters positively correlate with gene expression levels, thus transcriptome profiles of differentially expressed genes (DEGs) were included as measurement controls for DB detection of H3K4me3 at promoters.…”

Section: Analysis Of Real Chip-seq Datasetsmentioning

confidence: 99%

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CSSQ: a ChIP-seq signal quantifier pipeline

Kumar

Mei

et al. 2023

Front. Cell Dev. Biol.

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Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has revolutionized the studies of epigenomes and the massive increase in ChIP-seq datasets calls for robust and user-friendly computational tools for quantitative ChIP-seq. Quantitative ChIP-seq comparisons have been challenging due to noisiness and variations inherent to ChIP-seq and epigenomes. By employing innovative statistical approaches specially catered to ChIP-seq data distribution and sophisticated simulations along with extensive benchmarking studies, we developed and validated CSSQ as a nimble statistical analysis pipeline capable of differential binding analysis across ChIP-seq datasets with high confidence and sensitivity and low false discovery rate with any defined regions. CSSQ models ChIP-seq data as a finite mixture of Gaussians faithfully that reflects ChIP-seq data distribution. By a combination of Anscombe transformation, k-means clustering, estimated maximum normalization, CSSQ minimizes noise and bias from experimental variations. Further, CSSQ utilizes a non-parametric approach and incorporates comparisons under the null hypothesis by unaudited column permutation to perform robust statistical tests to account for fewer replicates of ChIP-seq datasets. In sum, we present CSSQ as a powerful statistical computational pipeline tailored for ChIP-seq data quantitation and a timely addition to the tool kits of differential binding analysis to decipher epigenomes.

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Metagenomic evidence for antibiotic-associated actinomycetes in the Karamay Gobi region

Yang,

Zhang,

Yang

et al. 2024

Front. Microbiol.

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Due to the misuse of antibiotics, there is an increasing emergence and spread of multidrug-resistant (MDR) bacteria, leading to a human health crisis. To address clinical antibiotic resistance and prevent/control pathogenic microorganisms, the development of novel antibiotics is essential. This also offers a new approach to discovering valuable actinobacterial flora capable of producing natural bioactive products. In this study, we employed bioinformatics and macro-genome sequencing to collect 15 soil samples from three different locations in the Karamay Gobi region. First, we assessed the diversity of microorganisms in soil samples from different locations, analyzing the content of bacteria, archaea, actinomycetes, and fungi. The biodiversity of soil samples from outside the Gobi was found to be higher than that of soil samples from within and in the center of the Gobi. Second, through microbial interaction network analysis, we identified actinomycetes as the dominant group in the system. We have identified the top four antibiotic genes, such as Ecol_fabG_TRC, Efac_liaR_DAP, tetA (58), and macB, by CARD. These genes are associated with peptide antibiotics, disinfecting agents and antiseptics, tetracycline antibiotics, and macrolide antibiotics. In addition, we also obtained 40 other antibiotic-related genes through CARD alignment. Through in-depth analysis of desert soil samples, we identified several unstudied microbial species belonging to different families, including Erythrobacteriaceae, Solirubrobacterales, Thermoleophilaceae, Gaiellaceae, Nocardioidaceae, Actinomycetia, Egibacteraceae, and Acidimicrobiales. These species have the capability to produce peptide antibiotics, macrolide antibiotics, and tetracycline antibiotics, as well as disinfectants and preservatives. This study provides valuable theoretical support for future in-depth research.

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Asprosin is a centrally acting orexigenic hormone

Cited by 3 publications

References 16 publications

The NANOGrav 15 yr Data Set: Search for Transverse Polarization Modes in the Gravitational-wave Background

The NANOGrav 15 yr Data Set: Search for Transverse Polarization Modes in the Gravitational-wave Background

CSSQ: a ChIP-seq signal quantifier pipeline

Metagenomic evidence for antibiotic-associated actinomycetes in the Karamay Gobi region

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