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Nature
Resumen/Descripción – provisto por la editorial en inglés
Nature is a weekly international journal publishing the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature also provides rapid, authoritative, insightful and arresting news and interpretation of topical and coming trends affecting science, scientists and the wider public.Palabras clave – provistas por la editorial
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Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde jul. 2012 / hasta dic. 2023 | Nature.com | ||
| No detectada | desde jul. 2006 / hasta ago. 2012 | Ovid |
Información
Tipo de recurso:
revistas
ISSN impreso
0028-0836
ISSN electrónico
1476-4687
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
1869-
Tabla de contenidos
Blood and immune development in human fetal bone marrow and Down syndrome
Laura Jardine; Simone Webb
; Issac Goh; Mariana Quiroga Londoño; Gary Reynolds; Michael Mather; Bayanne Olabi; Emily Stephenson; Rachel A. Botting; Dave Horsfall; Justin Engelbert; Daniel Maunder; Nicole Mende; Caitlin Murnane; Emma Dann; Jim McGrath; Hamish King; Iwo Kucinski; Rachel Queen; Christopher D. Carey; Caroline Shrubsole; Elizabeth Poyner; Meghan Acres; Claire Jones; Thomas Ness; Rowen Coulthard; Natalina Elliott; Sorcha O’Byrne; Myriam L. R. Haltalli; John E. Lawrence; Steven Lisgo; Petra Balogh; Kerstin B. Meyer; Elena Prigmore; Kirsty Ambridge; Mika Sarkin Jain; Mirjana Efremova; Keir Pickard; Thomas Creasey; Jaume Bacardit; Deborah Henderson; Jonathan Coxhead; Andrew Filby; Rafiqul Hussain; David Dixon; David McDonald; Dorin-Mirel Popescu; Monika S. Kowalczyk; Bo Li; Orr Ashenberg; Marcin Tabaka; Danielle Dionne; Timothy L. Tickle; Michal Slyper; Orit Rozenblatt-Rosen; Aviv Regev; Sam Behjati; Elisa Laurenti; Nicola K. Wilson; Anindita Roy; Berthold Göttgens; Irene Roberts; Sarah A. Teichmann; Muzlifah Haniffa
Palabras clave: Multidisciplinary.
Pp. 327-331
A single sulfatase is required to access colonic mucin by a gut bacterium
Ana S. Luis; Chunsheng Jin; Gabriel Vasconcelos Pereira; Robert W. P. Glowacki; Sadie R. Gugel; Shaleni Singh; Dominic P. Byrne; Nicholas A. Pudlo; James A. London; Arnaud Baslé; Mark Reihill; Stefan Oscarson; Patrick A. Eyers; Mirjam Czjzek; Gurvan Michel; Tristan Barbeyron; Edwin A. Yates; Gunnar C. Hansson; Niclas G. Karlsson; Alan Cartmell; Eric C. Martens
Palabras clave: Multidisciplinary.
Pp. 332-337
Burden and characteristics of COVID-19 in the United States during 2020
Sen Pei; Teresa K. Yamana; Sasikiran Kandula; Marta Galanti; Jeffrey Shaman
Palabras clave: Multidisciplinary.
Pp. 338-341
Lectins enhance SARS-CoV-2 infection and influence neutralizing antibodies
Florian A. Lempp; Leah B. Soriaga; Martin Montiel-Ruiz; Fabio Benigni; Julia Noack; Young-Jun Park; Siro Bianchi; Alexandra C. Walls; John E. Bowen; Jiayi Zhou; Hannah Kaiser; Anshu Joshi; Maria Agostini; Marcel Meury; Exequiel Dellota; Stefano Jaconi; Elisabetta Cameroni; Javier Martinez-Picado; Júlia Vergara-Alert; Nuria Izquierdo-Useros; Herbert W. Virgin; Antonio Lanzavecchia; David Veesler; Lisa A. Purcell; Amalio Telenti; Davide Corti
Palabras clave: Multidisciplinary.
Pp. 342-347
Biologically informed deep neural network for prostate cancer discovery
Haitham A. Elmarakeby; Justin Hwang; Rand Arafeh; Jett Crowdis; Sydney Gang; David Liu; Saud H. AlDubayan; Keyan Salari; Steven Kregel; Camden Richter; Taylor E. Arnoff; Jihye Park; William C. Hahn; Eliezer M. Van Allen
<jats:title>Abstract</jats:title><jats:p>The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge<jats:sup>1,2</jats:sup>. Recent advances in interpretability of machine learning models as applied to biomedical problems may enable discovery and prediction in clinical cancer genomics<jats:sup>3–5</jats:sup>. Here we developed P-NET—a biologically informed deep learning model—to stratify patients with prostate cancer by treatment-resistance state and evaluate molecular drivers of treatment resistance for therapeutic targeting through complete model interpretability. We demonstrate that P-NET can predict cancer state using molecular data with a performance that is superior to other modelling approaches. Moreover, the biological interpretability within P-NET revealed established and novel molecularly altered candidates, such as <jats:italic>MDM4</jats:italic> and <jats:italic>FGFR1</jats:italic>, which were implicated in predicting advanced disease and validated in vitro. Broadly, biologically informed fully interpretable neural networks enable preclinical discovery and clinical prediction in prostate cancer and may have general applicability across cancer types.</jats:p>
Palabras clave: Multidisciplinary.
Pp. 348-352
Circadian autophagy drives iTRF-mediated longevity
Matt Ulgherait; Adil M. Midoun; Scarlet J. Park; Jared A. Gatto; Samantha J. Tener; Julia Siewert; Naomi Klickstein; Julie C. Canman; William W. Ja; Mimi Shirasu-Hiza
Palabras clave: Multidisciplinary.
Pp. 353-358
Structure-based classification of tauopathies
Yang Shi; Wenjuan Zhang; Yang Yang; Alexey G. Murzin; Benjamin Falcon; Abhay Kotecha; Mike van Beers; Airi Tarutani; Fuyuki Kametani; Holly J. Garringer; Ruben Vidal; Grace I. Hallinan; Tammaryn Lashley; Yuko Saito; Shigeo Murayama; Mari Yoshida; Hidetomo Tanaka; Akiyoshi Kakita; Takeshi Ikeuchi; Andrew C. Robinson; David M. A. Mann; Gabor G. Kovacs; Tamas Revesz; Bernardino Ghetti; Masato Hasegawa; Michel Goedert; Sjors H. W. Scheres
Palabras clave: Multidisciplinary.
Pp. 359-363
Structure and assembly of the mammalian mitochondrial supercomplex CIII2CIV
Irene Vercellino; Leonid A. Sazanov
Palabras clave: Multidisciplinary.
Pp. 364-367
Structural basis of human transcription–DNA repair coupling
Goran Kokic; Felix R. Wagner; Aleksandar Chernev; Henning Urlaub; Patrick Cramer
<jats:title>Abstract</jats:title><jats:p>Transcription-coupled DNA repair removes bulky DNA lesions from the genome<jats:sup>1,2</jats:sup> and protects cells against ultraviolet (UV) irradiation<jats:sup>3</jats:sup>. Transcription-coupled DNA repair begins when RNA polymerase II (Pol II) stalls at a DNA lesion and recruits the Cockayne syndrome protein CSB, the E3 ubiquitin ligase, CRL4<jats:sup>CSA</jats:sup> and UV-stimulated scaffold protein A (UVSSA)<jats:sup>3</jats:sup>. Here we provide five high-resolution structures of Pol II transcription complexes containing human transcription-coupled DNA repair factors and the elongation factors PAF1 complex (PAF) and SPT6. Together with biochemical and published<jats:sup>3,4</jats:sup> data, the structures provide a model for transcription–repair coupling. Stalling of Pol II at a DNA lesion triggers replacement of the elongation factor DSIF by CSB, which binds to PAF and moves upstream DNA to SPT6. The resulting elongation complex, EC<jats:sup>TCR</jats:sup>, uses the CSA-stimulated translocase activity of CSB to pull on upstream DNA and push Pol II forward. If the lesion cannot be bypassed, CRL4<jats:sup>CSA</jats:sup> spans over the Pol II clamp and ubiquitylates the RPB1 residue K1268, enabling recruitment of TFIIH to UVSSA and DNA repair. Conformational changes in CRL4<jats:sup>CSA</jats:sup> lead to ubiquitylation of CSB and to release of transcription-coupled DNA repair factors before transcription may continue over repaired DNA.</jats:p>
Palabras clave: Multidisciplinary.
Pp. 368-372
Beware survivorship bias in advice on science careers
Dave Hemprich-Bennett; Dani Rabaiotti; Emma Kennedy
Palabras clave: Multidisciplinary.
Pp. 373-374