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4. Back_cover

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

5. 17_ch08

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

6. Introduction

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

7. List of figures

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

8. Preface

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

9. Copyright Page

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

10. List of tables

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

11. Acknowledgements

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

12. Notes on contributors

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

13. Cover

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

14. Table of contents

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

15. Title Page

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

16. Halftitle Page

Author

Peters, Renata F., den Boer, Iris L. F., Johnson, Jessica S., and Pancaldo, Susanna

Published
2020

24. Index

Author

Johnson, Jessica

Published
2018

27. Contents

Author

Johnson, Jessica

Published
2018

28. Notes

Author

Johnson, Jessica

Published
2018

35. Resolving the size and charge of small particles: a predictive model of nanopore mechanics

Author

Bearden, Samuel, Abramyan, Tigran M., Gil, Dmitry, Johnson, Jessica, Murashko, Anton, Makaev, Sergei, Mai, David, Baranchikov, Alexander, Ivanov, Vladimir, Reukov, Vladimir, and Zhang, Guigen

Subjects
Physics - Chemical Physics, Physics - Atomic Physics
Abstract

The movement of small particles and molecules through membranes is widespread and has far-reaching implications. Consequently, the development of mathematical models is essential for understanding these processes on a micro level, leading to deeper insights. In this endeavour, we suggested a model based on a set of empirical equations to predict the transport of substances through a solid-state nanopore and the associated signals generated during their translocation. This model establishes analytical relationships between the ionic current and electrical double-layer potential observed during ana-lyte translocation and their size, charge, and mobility in an electrolyte solution. This framework allows for rapid interpretation and prediction of the nanopore system's behaviour and provides a means for quantitatively determining the physical properties of molecular analytes. To illustrate the analyt-ical capability of this model, ceria nanoparticles were investigated while undergoing oxidation or reduction within an original nanopore device. The re-sults obtained were found to be in good agreement with predictions from physicochemical methods. This developed approach and model possess transfer-able utility to various porous materials, thereby expediting research efforts in membrane characterization and the advancement of nano- and ultrafiltra-tion or electrodialysis technologies.

Published
2024

41. Author Correction: Divergent landscapes of A-to-I editing in postmortem and living human brain

Author

Rodriguez de los Santos, Miguel, Kopell, Brian H., Buxbaum Grice, Ariela, Ganesh, Gauri, Yang, Andy, Amini, Pardis, Liharska, Lora E., Vornholt, Eric, Fullard, John F., Dong, Pengfei, Park, Eric, Zipkowitz, Sarah, Kaji, Deepak A., Thompson, Ryan C., Liu, Donjing, Park, You Jeong, Cheng, Esther, Ziafat, Kimia, Moya, Emily, Fennessy, Brian, Wilkins, Lillian, Silk, Hannah, Linares, Lisa M., Sullivan, Brendan, Cohen, Vanessa, Kota, Prashant, Feng, Claudia, Johnson, Jessica S., Rieder, Marysia-Kolbe, Scarpa, Joseph, Nadkarni, Girish N., Wang, Minghui, Zhang, Bin, Sklar, Pamela, Beckmann, Noam D., Schadt, Eric E., Roussos, Panos, Charney, Alexander W., and Breen, Michael S.

Published
2024
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42. Divergent landscapes of A-to-I editing in postmortem and living human brain

Author

Rodriguez de los Santos, Miguel, Kopell, Brian H., Buxbaum Grice, Ariela, Ganesh, Gauri, Yang, Andy, Amini, Pardis, Liharska, Lora E., Vornholt, Eric, Fullard, John F., Dong, Pengfei, Park, Eric, Zipkowitz, Sarah, Kaji, Deepak A., Thompson, Ryan C., Liu, Donjing, Park, You Jeong, Cheng, Esther, Ziafat, Kimia, Moya, Emily, Fennessy, Brian, Wilkins, Lillian, Silk, Hannah, Linares, Lisa M., Sullivan, Brendan, Cohen, Vanessa, Kota, Prashant, Feng, Claudia, Johnson, Jessica S., Rieder, Marysia-Kolbe, Scarpa, Joseph, Nadkarni, Girish N., Wang, Minghui, Zhang, Bin, Sklar, Pamela, Beckmann, Noam D., Schadt, Eric E., Roussos, Panos, Charney, Alexander W., and Breen, Michael S.

Published
2024
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44. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder

Author

Nievergelt, Caroline M., Maihofer, Adam X., Atkinson, Elizabeth G., Chen, Chia-Yen, Choi, Karmel W., Coleman, Jonathan R. I., Daskalakis, Nikolaos P., Duncan, Laramie E., Polimanti, Renato, Aaronson, Cindy, Amstadter, Ananda B., Andersen, Soren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegoviç, Esmina, Babić, Dragan, Bacanu, Silviu-Alin, Baker, Dewleen G., Batzler, Anthony, Beckham, Jean C., Belangero, Sintia, Benjet, Corina, Bergner, Carisa, Bierer, Linda M., Biernacka, Joanna M., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Brandolino, Amber, Breen, Gerome, Bressan, Rodrigo Affonseca, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Børglum, Anders D., Børte, Sigrid, Cahn, Leah, Calabrese, Joseph R., Caldas-de-Almeida, Jose Miguel, Chatzinakos, Chris, Cheema, Sheraz, Clouston, Sean A. P., Colodro-Conde, Lucía, Coombes, Brandon J., Cruz-Fuentes, Carlos S., Dale, Anders M., Dalvie, Shareefa, Davis, Lea K., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Desarnaud, Frank, DiPietro, Christopher P., Disner, Seth G., Docherty, Anna R., Domschke, Katharina, Dyb, Grete, Kulenović, Alma Džubur, Edenberg, Howard J., Evans, Alexandra, Fabbri, Chiara, Fani, Negar, Farrer, Lindsay A., Feder, Adriana, Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles F., Goleva, Slavina B., Gordon, Scott D., Goçi, Aferdita, Grasser, Lana Ruvolo, Guindalini, Camila, Haas, Magali, Hagenaars, Saskia, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M. J., Hesselbrock, Victor, Hickie, Ian B., Hogan, Kelleigh, Hougaard, David Michael, Huang, Hailiang, Huckins, Laura M., Hveem, Kristian, Jakovljević, Miro, Javanbakht, Arash, Jenkins, Gregory D., Johnson, Jessica, Jones, Ian, Jovanovic, Tanja, Karstoft, Karen-Inge, Kaufman, Milissa L., Kennedy, James L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kotov, Roman, Kranzler, Henry R., Krebs, Kristi, Kremen, William S., Kuan, Pei-Fen, Lawford, Bruce R., Lebois, Lauren A. M., Lehto, Kelli, Levey, Daniel F., Lewis, Catrin, Liberzon, Israel, Linnstaedt, Sarah D., Logue, Mark W., Lori, Adriana, Lu, Yi, Luft, Benjamin J., Lupton, Michelle K., Luykx, Jurjen J., Makotkine, Iouri, Maples-Keller, Jessica L., Marchese, Shelby, Marmar, Charles, Martin, Nicholas G., Martínez-Levy, Gabriela A., McAloney, Kerrie, McFarlane, Alexander, McLaughlin, Katie A., McLean, Samuel A., Medland, Sarah E., Mehta, Divya, Meyers, Jacquelyn, Michopoulos, Vasiliki, Mikita, Elizabeth A., Milani, Lili, Milberg, William, Miller, Mark W., Morey, Rajendra A., Morris, Charles Phillip, Mors, Ole, Mortensen, Preben Bo, Mufford, Mary S., Nelson, Elliot C., Nordentoft, Merete, Norman, Sonya B., Nugent, Nicole R., O’Donnell, Meaghan, Orcutt, Holly K., Pan, Pedro M., Panizzon, Matthew S., Pathak, Gita A., Peters, Edward S., Peterson, Alan L., Peverill, Matthew, Pietrzak, Robert H., Polusny, Melissa A., Porjesz, Bernice, Powers, Abigail, Qin, Xue-Jun, Ratanatharathorn, Andrew, Risbrough, Victoria B., Roberts, Andrea L., Rothbaum, Alex O., Rothbaum, Barbara O., Roy-Byrne, Peter, Ruggiero, Kenneth J., Rung, Ariane, Runz, Heiko, Rutten, Bart P. F., de Viteri, Stacey Saenz, Salum, Giovanni Abrahão, Sampson, Laura, Sanchez, Sixto E., Santoro, Marcos, Seah, Carina, Seedat, Soraya, Seng, Julia S., Shabalin, Andrey, Sheerin, Christina M., Silove, Derrick, Smith, Alicia K., Smoller, Jordan W., Sponheim, Scott R., Stein, Dan J., Stensland, Synne, Stevens, Jennifer S., Sumner, Jennifer A., Teicher, Martin H., Thompson, Wesley K., Tiwari, Arun K., Trapido, Edward, Uddin, Monica, Ursano, Robert J., Valdimarsdóttir, Unnur, Van Hooff, Miranda, Vermetten, Eric, Vinkers, Christiaan H., Voisey, Joanne, Wang, Yunpeng, Wang, Zhewu, Waszczuk, Monika, Weber, Heike, Wendt, Frank R., Werge, Thomas, Williams, Michelle A., Williamson, Douglas E., Winsvold, Bendik S., Winternitz, Sherry, Wolf, Christiane, Wolf, Erika J., Xia, Yan, Xiong, Ying, Yehuda, Rachel, Young, Keith A., Young, Ross McD, Zai, Clement C., Zai, Gwyneth C., Zervas, Mark, Zhao, Hongyu, Zoellner, Lori A., Zwart, John-Anker, deRoon-Cassini, Terri, van Rooij, Sanne J. H., van den Heuvel, Leigh L., Stein, Murray B., Ressler, Kerry J., and Koenen, Karestan C.

Published
2024
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45. Leveraging base-pair mammalian constraint to understand genetic variation and human disease

Author

Sullivan, Patrick F, Meadows, Jennifer RS, Gazal, Steven, Phan, BaDoi N, Li, Xue, Genereux, Diane P, Dong, Michael X, Bianchi, Matteo, Andrews, Gregory, Sakthikumar, Sharadha, Nordin, Jessika, Roy, Ananya, Christmas, Matthew J, Marinescu, Voichita D, Wang, Chao, Wallerman, Ola, Xue, James, Yao, Shuyang, Sun, Quan, Szatkiewicz, Jin, Wen, Jia, Huckins, Laura M, Lawler, Alyssa, Keough, Kathleen C, Zheng, Zhili, Zeng, Jian, Wray, Naomi R, Li, Yun, Johnson, Jessica, Chen, Jiawen, Paten, Benedict, Reilly, Steven K, Hughes, Graham M, Weng, Zhiping, Pollard, Katherine S, Pfenning, Andreas R, Forsberg-Nilsson, Karin, Karlsson, Elinor K, Lindblad-Toh, Kerstin, Armstrong, Joel C, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Garcia, Carlos J, Gatesy, John, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Lind, Abigail, Mackay-Smith, Ava, Marques-Bonet, Tomas, Mason, Victor C, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, and Navarro, Arcadi

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Clinical Research, Human Genome, Brain Disorders, Generic health relevance, Animals, Humans, Biological Evolution, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genomics, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Disease, Zoonomia Consortium§, General Science & Technology
Abstract

Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

Published
2023

47. Supernova 2020wnt: An Atypical Superluminous Supernova with a Hidden Central Engine

Author

Tinyanont, Samaporn, Woosley, Stan E., Taggart, Kirsty, Foley, Ryan J., Yan, Lin, Lunnan, Ragnhild, Davis, Kyle W., Kilpatrick, Charles D., Siebert, Matthew R., Schulze, Steve, Ashall, Chris, Chen, Ting-Wan, De, Kishalay, Dimitriadis, Georgios, Dong, Dillon Z., Fremling, Christoffer, Gagliano, Alexander, Jha, Saurabh W., Jones, David O., Kasliwal, Mansi M., Miao, Hao-Yu, Pan, Yen-Chen, Perley, Daniel A., Ravi, Vikram, Rojas-Bravo, César, Sfaradi, Itai, Sollerman, Jesper, Alarcon, Vanessa, Angulo, Rodrigo, Clever, Karoli E., Crawford, Payton, Couch, Cirilla, Dandu, Srujan, Dhara, Atirath, Johnson, Jessica, Lai, Zhisen, and Smith, Carli

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics
Abstract

We present observations of a peculiar hydrogen- and helium-poor stripped-envelope (SE) supernova (SN) 2020wnt, primarily in the optical and near-infrared (near-IR). Its peak absolute bolometric magnitude of -20.9 mag and a rise time of 69~days are reminiscent of hydrogen-poor superluminous SNe (SLSNe~I), luminous transients potentially powered by spinning-down magnetars. Before the main peak, there is a brief peak lasting <10 days post-explosion, likely caused by interaction with circumstellar medium (CSM) ejected ~years before the SN explosion. The optical spectra near peak lack a hot continuum and OII absorptions, which are signs of heating from a central engine; they quantitatively resemble those of radioactivity-powered H/He-poor Type Ic SESNe. At ~1 year after peak, nebular spectra reveal a blue pseudo-continuum and narrow OI recombination lines associated with magnetar heating. Radio observations rule out strong CSM interactions as the dominant energy source at +266 days post peak. Near-IR observations at +200-300 day reveal carbon monoxide and dust formation, which causes a dramatic optical light curve dip. Pair-instability explosion models predict slow light curve and spectral features incompatible with observations. SN 2020wnt is best explained as a magnetar-powered core-collapse explosion of a 28 Msun pre-SN star. The explosion kinetic energy is significantly larger than the magnetar energy at peak, effectively concealing the magnetar-heated inner ejecta until well after peak. SN 2020wnt falls into a continuum between normal SNe Ic and SLSNe I and demonstrates that optical spectra at peak alone cannot rule out the presence of a central engine., Comment: Submitted to ApJ

Published
2022
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48. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals

Author

Zhou, Hang, Kember, Rachel L., Deak, Joseph D., Xu, Heng, Toikumo, Sylvanus, Yuan, Kai, Lind, Penelope A., Farajzadeh, Leila, Wang, Lu, Hatoum, Alexander S., Johnson, Jessica, Lee, Hyunjoon, Mallard, Travis T., Xu, Jiayi, Johnston, Keira J. A., Johnson, Emma C., Nielsen, Trine Tollerup, Galimberti, Marco, Dao, Cecilia, Levey, Daniel F., Overstreet, Cassie, Byrne, Enda M., Gillespie, Nathan A., Gordon, Scott, Hickie, Ian B., Whitfield, John B., Xu, Ke, Zhao, Hongyu, Huckins, Laura M., Davis, Lea K., Sanchez-Roige, Sandra, Madden, Pamela A. F., Heath, Andrew C., Medland, Sarah E., Martin, Nicholas G., Ge, Tian, Smoller, Jordan W., Hougaard, David M., Børglum, Anders D., Demontis, Ditte, Krystal, John H., Gaziano, J. Michael, Edenberg, Howard J., Agrawal, Arpana, Justice, Amy C., Stein, Murray B., Kranzler, Henry R., and Gelernter, Joel

Published
2023
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50. The Circumstellar Environments of Double-Peaked, Calcium-strong Supernovae 2021gno and 2021inl

Author

Jacobson-Galán, Wynn, Venkatraman, Padma, Margutti, Raffaella, Khatami, David, Terreran, Giacomo, Foley, Ryan J., Angulo, Rodrigo, Angus, Charlotte R., Auchettl, Katie, Blanchard, Peter K., Bobrick, Alexey, Bright, Joe S., Couch, Cirilla D., Coulter, David A., Clever, Karoli, Davis, Kyle W., de Boer, Thomas, DeMarchi, Lindsay, Dodd, Sierra A., Jones, David O., Johnson, Jessica, Kilpatrick, Charles D., Khetan, Nandita, Lai, Zhisen, Langeroodi, Danial, Lin, Chien-Cheng, Magnier, Eugene A., Milisavljevic, Dan, Perets, Hagai B., Pierel, Justin D. R., Raymond, John, Rest, Sofia, Rest, Armin, Ridden-Harper, Ryan, Shen, Ken J., Siebert, Matthew R., Smith, Carli, Taggart, Kirsty, Tinyanont, Samaporn, Valdes, Frank, Villar, Victoria A., Wang, Qinan, Yadavalli, S. Karthik, Zenati, Yossef, and Zenteno, Alfredo

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics
Abstract

We present panchromatic observations and modeling of calcium-strong supernovae (SNe) 2021gno in the star-forming host galaxy NGC 4165 (D = 30.5 Mpc) and 2021inl in the outskirts of elliptical galaxy NGC 4923 (D = 80 Mpc), both monitored through the Young Supernova Experiment (YSE) transient survey. The multi-color light curves of both SNe show two peaks, the former peak being derived from shock cooling emission (SCE) and/or shock interaction with circumstellar material (CSM). The primary peak in SN 2021gno is coincident with luminous, rapidly decaying X-ray emission ($L_x = 5 \times 10^{41}$ erg s$^{-1}$) detected by Swift-XRT at $\delta t = 1$ day after explosion, this observation being the second ever detection of X-rays from a calcium-strong transient. We interpret the X-ray emission from SN 2021gno in the context of shock interaction with dense CSM that extends to $r < 3 \times 10^{14}$ cm. Based on modeling of the SN 2021gno X-ray spectrum, we calculate a CSM mass range of $M_{\rm CSM} = (0.3 - 1.6) \times 10^{-3}$ M$_{\odot}$ and particle densities of $n = (1-4) \times 10^{10}$ cm$^{-3}$. Radio non-detections of SN 2021gno indicate a low-density environment at larger radii ($r > 10^{16}$ cm) and a progenitor mass loss rate of $\dot{M} < 10^{-4}$ M$_{\odot}$ yr$^{-1}$, for $v_w = 500$ km s$^{-1}$. For radiation derived from SCE, modeling of the primary light curve peak in both SNe indicates an extended progenitor envelope mass and radius of $M_e = 0.02 - 0.05$ M$_{\odot}$ and $R_e = 30 - 230$ R$_{\odot}$. The explosion properties of SNe 2021gno and 2021inl suggest progenitor systems containing either a low-mass massive star or a white dwarf (WD), the former being unlikely for either object given the lack of star formation at both explosion sites. Furthermore, the progenitor environments of both SNe are consistent with explosion models for low-mass hybrid He/C/O WD + C/O WD binaries., Comment: 33 pages, 19 figures. Submitted to ApJ. Comments welcome!

Published
2022
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