419 Works

Supplementary information for: A biased fossil record can preserve reliable phylogenetic signal

C. Henrik Woolley, Jeffrey Thompson, Yun-Hsin Wu, David Bottjer & Nathan Smith
Abstract.­­––The fossil record is notoriously imperfect and biased in representation, hindering our ability to place fossil specimens into an evolutionary context. For groups with fossil records mostly consisting of disarticulated parts (e.g., vertebrates, echinoderms, plants), the limited morphological information preserved sparks concerns about whether fossils retain reliable evidence of phylogenetic relationships, and lends uncertainty to analyses of diversification, paleobiogeography, and biostratigraphy in Earth history. To address whether a fragmentary past can be trusted, we need...

Additional file 1 of Gene Identification, expression analysis and molecular docking of ATP sulfurylase in the selenization pathway of Cardamine hupingshanensis

Zhijing Xiao, Yanke Lu, Yi Zou, Chi Zhang, Li Ding, Kai Luo, Qiaoyu Tang & Yifeng Zhou
Supplementary Figure S1: Multiple sequence alignment of all the ChATPS proteins; Supplementary Table S1: Physicochemical properties of ATPS proteins in C. hupingshanensis. Supplementary Table S2: The gene coding sequences and protein sequences of ChATPS. Supplementary Table S3: Secondary structure analysis of the nine proteins. Supplementary Table S4: Primers used in qRT-PCR analysis for ChATPS. Table S5: The binding energy of each ligand to each protein at the catalytic site (unit: kcal mol-1). Table S6: At...

Additional file 1 of Elevated NRAS expression during DCIS is a potential driver for progression to basal-like properties and local invasiveness

Ze-Yi Zheng, Hanan Elsarraj, Jonathan T. Lei, Yan Hong, Meenakshi Anurag, Long Feng, Hilda Kennedy, Yichao Shen, Flora Lo, Zifan Zhao, Bing Zhang, Xiang H.-F. Zhang, Ossama W. Tawfik, Fariba Behbod & Eric C. Chang
Additional file 1: Table S1. Pathological, Biomarker and Demographic Characteristics of the patients in the TMAs.

Additional file 3 of Elevated NRAS expression during DCIS is a potential driver for progression to basal-like properties and local invasiveness

Ze-Yi Zheng, Hanan Elsarraj, Jonathan T. Lei, Yan Hong, Meenakshi Anurag, Long Feng, Hilda Kennedy, Yichao Shen, Flora Lo, Zifan Zhao, Bing Zhang, Xiang H.-F. Zhang, Ossama W. Tawfik, Fariba Behbod & Eric C. Chang
Additional file 3: Table S2. NRAS-silencing induced a switch from basal to luminal gene expression pattern in SUM102PT cells as measured by RNA-seq.

Additional file 3 of Elevated NRAS expression during DCIS is a potential driver for progression to basal-like properties and local invasiveness

Ze-Yi Zheng, Hanan Elsarraj, Jonathan T. Lei, Yan Hong, Meenakshi Anurag, Long Feng, Hilda Kennedy, Yichao Shen, Flora Lo, Zifan Zhao, Bing Zhang, Xiang H.-F. Zhang, Ossama W. Tawfik, Fariba Behbod & Eric C. Chang
Additional file 3: Table S2. NRAS-silencing induced a switch from basal to luminal gene expression pattern in SUM102PT cells as measured by RNA-seq.

Additional file 5 of Prediction of hepatocellular carcinoma prognosis and immunotherapeutic effects based on tryptophan metabolism-related genes

Chen Xue, Xinyu Gu, Yalei Zhao, Junjun Jia, Qiuxian Zheng, Yuanshuai Su, Zhengyi Bao, Juan Lu & Lanjuan Li
Additional file 5: Table S1. The information of primers sequences for qRT-PCR assay.

Eicosanoid lipidome activation in post-mortem brain tissues of individuals with APOE4 and Alzheimer’s dementia

Brandon Ebright, Isaac Assante, Roy A. Poblete, Shaowei Wang, Marlon V. Duro, David A. Bennett, Zoe Arvanitakis, Stan G. Louie & Hussein N. Yassine
Abstract Background Chronic neuroinflammation is one of the hallmarks of late-onset Alzheimer’s disease (AD) dementia pathogenesis. Carrying the apolipoprotein ε4 (APOE4) allele has been associated with an accentuated response to brain inflammation and increases the risk of AD dementia progression. Among inflammation signaling pathways, aberrant eicosanoid activation plays a prominent role in neurodegeneration. Methods Using brains from the Religious Order Study (ROS), this study compared measures of brain eicosanoid lipidome in older persons with AD...

Gestational diabetes mellitus, prenatal maternal depression, and risk for postpartum depression: an Environmental influences on Child Health Outcomes (ECHO) Study

Lauren C. Shuffrey, Maristella Lucchini, Santiago Morales, Ayesha Sania, Christine Hockett, Emily Barrett, Kecia N. Carroll, Camille C. Cioffi, Dana Dabelea, Sean Deoni, Anne L. Dunlop, Arielle Deutsch, William P. Fifer, Morgan R. Firestein, Monique M. Hedderson, Melanie Jacobson, Rachel S. Kelly, Jean M. Kerver, W. Alex Mason, Hooman Mirzakhani, Thomas G. O’Connor, Leonardo Trasande, Scott Weiss, Rosalind Wright, Yeyi Zhu … & Catherine Monk
Abstract Background Prior research has demonstrated bidirectional associations between gestational diabetes mellitus (GDM) and perinatal maternal depression. However, the association between GDM, prenatal depression, and postpartum depression (PPD) has not been examined in a prospective cohort longitudinally. Methods Participants in the current analysis included 5,822 women from the National Institutes of Health’s Environmental influences on Child Health Outcomes (ECHO) Research Program: N = 4,606 with Neither GDM nor Prenatal Maternal Depression (Reference Category); N =...

Corporate Probability of Default: A Single-Index Hazard Model Approach

Shaobo Li, Shaonan Tian, Yan Yu, Xiaorui Zhu & Heng Lian
Corporate probability of default (PD) prediction is vitally important for risk management and asset pricing. In search of accurate PD prediction, we propose a flexible yet easy-to-interpret default-prediction single-index hazard model (DSI). By applying it to a comprehensive U.S. corporate bankruptcy database we constructed, we discover an interesting V-shaped relationship, indicating a violation of the common linear hazard specification. Most importantly, the single-index hazard model passes the Hosmer-Lemeshow goodness-of-fit calibration test while neither does a...

Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma

Qing Kay Li, Yingwei Hu, Lijun Chen, Michael Schnaubelt, Daniel Cui Zhou, Yize Li, Rita Jui-Hsien Lu, Mathangi Thiagarajan, Galen Hostetter, Chelsea J. Newton, Scott D. Jewell, Gil Omenn, Ana I. Robles, Mehdi Mesri, Oliver F. Bathe, Bing Zhang, Li Ding, Ralph H. Hruban, Daniel W. Chan & Hui Zhang
Abstract Background The identification of differentially expressed tumor-associated proteins and genomic alterations driving neoplasia is critical in the development of clinical assays to detect cancers and forms the foundation for understanding cancer biology. One of the challenges in the analysis of pancreatic ductal adenocarcinoma (PDAC) is the low neoplastic cellularity and heterogeneous composition of bulk tumors. To enrich neoplastic cells from bulk tumor tissue, coring, and laser microdissection (LMD) sampling techniques have been employed. In...

Harmonized Mex-Cog, Version A

Sandy Chien, Codi Young, Erik Meijer, Kanghong Shao, Alden Gross, Alejandra Michaels-Obregon, Rebeca Wong & Jinkook Lee

A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events

Andrea Cappozzo, Cathal McCrory, Oliver Robinson, Anna Freni Sterrantino, Carlotta Sacerdote, Vittorio Krogh, Salvatore Panico, Rosario Tumino, Licia Iacoviello, Fulvio Ricceri, Sabina Sieri, Paolo Chiodini, Gareth J. McKay, Amy Jayne McKnight, Frank Kee, Ian S. Young, Bernadette McGuinness, Eileen M. Crimmins, Thalida Em Arpawong, Rose Anne Kenny, Aisling O’Halloran, Silvia Polidoro, Giuliana Solinas, Paolo Vineis, Francesca Ieva … & Giovanni Fiorito
Abstract Background Recent evidence highlights the epidemiological value of blood DNA methylation (DNAm) as surrogate biomarker for exposure to risk factors for non-communicable diseases (NCD). DNAm surrogate of exposures predicts diseases and longevity better than self-reported or measured exposures in many cases. Consequently, disease prediction models based on blood DNAm surrogates may outperform current state-of-the-art prediction models. This study aims to develop novel DNAm surrogates for cardiovascular diseases (CVD) risk factors and develop a composite...

Additional file 2 of Analgesic efficacy of adding the IPACK block to multimodal analgesia protocol for primary total knee arthroplasty: a meta-analysis of randomized controlled trials

Xiumei Tang, Yahao Lai, Siwei Du & Ning Ning
Additional file 2. The results of meta-regression.

Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Abstract Background Hormonal changes during the menstrual cycle play a key role in shaping immunity in the cervicovaginal tract. Cervicovaginal fluid contains cytokines, chemokines, immunoglobulins, and other immune mediators. Many studies have shown that the concentrations of these immune mediators change throughout the menstrual cycle, but the studies have often shown inconsistent results. Our understanding of immunological correlates of the menstrual cycle remains limited and could be improved by meta-analysis of the available evidence. Methods...

Additional file 3 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 3. Code and data. IPD from co-authors who agreed to share it, results of all analyses presented in the paper, and R code files necessary to reproduce the analysis and figures.

Proteomic alterations associated with residual disease in neoadjuvant chemotherapy treated ovarian cancer tissues

Emily R. Penick, Nicholas W. Bateman, Christine Rojas, Cuauhtemoc Magana, Kelly Conrads, Ming Zhou, Brian L. Hood, Guisong Wang, Niyati Parikh, Ying Huang, Kathleen M. Darcy, Yovanni Casablanca, Paulette Mhawech-Fauceglia, Thomas P. Conrads & G. Larry Maxwell
Abstract Background Optimal cytoreduction to no residual disease (R0) correlates with improved disease outcome for high-grade serous ovarian cancer (HGSOC) patients. Treatment of HGSOC patients with neoadjuvant chemotherapy, however, may select for tumor cells harboring alterations in hallmark cancer pathways including metastatic potential. This study assessed this hypothesis by performing proteomic analysis of matched, chemotherapy naïve and neoadjuvant chemotherapy (NACT)-treated HGSOC tumors obtained from patients who had suboptimal (R1, n = 6) versus optimal (R0,...

Additional file 4 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 4. Concentration and forest plots for each individual immune mediator. Concentration plots - Each symbol shows the concentration of the indicated immune mediator in a single sample. Each study is plotted separately. Lines connect samples from the same participant; in some cases participants provided multiple samples in the same phase, in which case multiple symbols within the same phase may be connected. Pale grey symbols are below the lower limit of detection and...

Additional file 1 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 1. Supporting methods documents. PRISMA-P and PRISMA-IPD checklists, database search strategies, manuscript screening form, risk of bias instrument, and strength of evidence tool.

Additional file 5 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 5: Figure S1. Assessment of publication bias. A Funnel plots. Symbols show the effect of the menstrual cycle (x-axis) and the standard error of that effect (y-axis, reversed). Each symbol shows an individual study. Vertical solid line shows no effect. Vertical dashed line shows the meta-estimate of effect. Diagonal dashed lines enclose the region expected to include 95% of studies based on the estimated meta-effect and the standard errors. B Results of Egger’s...

Additional file 7 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 7. Figure S4: ctDNA statuses and disease-related events of patients during follow-up periods. Swimmer plot illustrating the ctDNA statuses, adjuvant therapies, and pathological events of all patients. Abbreviations: LUAD – lung adenocarcinoma, LUSC - lung squamous-cell carcinoma, AT – adjuvant therapy.

Additional file 9 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 9. Figure S6: ctDNA testing, LDCT scans, and disease-related events of patients during follow-up periods. . Swimmer plot illustrating the first positive ctDNA testing, the last negative LDCT scans, and pathological events of patients that experienced recurrence or deceased. B). The original and adjusted time intervals between the first positive ctDNA testing and final LDCT scans that detected disease recurrence. Abbreviations: LDCT – low-dose computed tomography, LUAD – lung adenocarcinoma, LUSC - lung...

Additional file 8 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 8. Figure S5: Prognostic values of ctDNA detection based on clonal and subclonal mutations. A). The recurrence-free survival analysis of patients stratified by ctDNA detection based on only clonal mutation profiles. B). The recurrence-free survival analysis of patients stratified by ctDNA detection based on all clonal and subclonal mutations.

Additional file 11 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 11. Methods.

Additional file 12 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 12. Supplementary discussion.

Additional file 13 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Siwei Wang, Ming Li, Jingyuan Zhang, Peng Xing, Min Wu, Fancheng Meng, Feng Jiang, Jie Wang, Hua Bao, Jianfeng Huang, Binhui Ren, Mingfeng Yu, Ninglei Qiu, Houhuai Li, Fangliang Yuan, Zhi Zhang, Hui Jia, Xinxin Lu, Shuai Zhang, Xiaojun Wang, Youtao Xu, Wenjia Xia, Tongyan Liu, Weizhang Xu, Xinyu Xu … & Rong Yin
Additional file 13. Supplementary results.

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