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Institución detectada Período Navegá Descargá Solicitá
No detectada desde mar. 1997 / hasta dic. 2023 Science Journals

Información

Tipo de recurso:

revistas

ISSN impreso

0036-8075

ISSN electrónico

1095-9203

Editor responsable

American Association for the Advancement of Science (AAAS)

País de edición

Estados Unidos

Fecha de publicación

Cobertura temática

Tabla de contenidos

What I promised my mother

Edgar Virguez

Palabras clave: Multidisciplinary.

Pp. 662-662

Cross-tissue immune cell analysis reveals tissue-specific features in humans

C. Domínguez CondeORCID; C. XuORCID; L. B. JarvisORCID; D. B. RainbowORCID; S. B. WellsORCID; T. GomesORCID; S. K. HowlettORCID; O. Suchanek; K. PolanskiORCID; H. W. KingORCID; L. MamanovaORCID; N. HuangORCID; P. A. SzaboORCID; L. RichardsonORCID; L. BoltORCID; E. S. FasouliORCID; K. T. MahbubaniORCID; M. PreteORCID; L. TuckORCID; N. Richoz; Z. K. TuongORCID; L. CamposORCID; H. S. MousaORCID; E. J. NeedhamORCID; S. Pritchard; T. LiORCID; R. ElmentaiteORCID; J. ParkORCID; E. Rahmani; D. ChenORCID; D. K. MenonORCID; O. A. Bayraktar; L. K. JamesORCID; K. B. MeyerORCID; N. YosefORCID; M. R. ClatworthyORCID; P. A. SimsORCID; D. L. FarberORCID; K. Saeb-ParsyORCID; J. L. JonesORCID; S. A. TeichmannORCID

<jats:p>Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a dataset of ~360,000 cells. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of finely phenotyped immune cell types, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. Our multitissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis, and antigen receptor sequencing.</jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Comment on “Cryoforged nanotwinned titanium with ultrahigh strength and ductility”

Yazhou GuoORCID; Xiaolei WuORCID; Qiuming WeiORCID

<jats:p> We analyze the results of Zhao <jats:italic>et al</jats:italic> . (Reports, 17 September 2021, p. 1363) with a focus on the mechanical properties and microstructural evolution. We conclude that their results, together with the explanations and interpretations, are confusing, misleading, or even wrong. </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Response to Comment on “Cryoforged nanotwinned titanium with ultrahigh strength and ductility”

Shiteng ZhaoORCID; Ruopeng Zhang; Qin YuORCID; Jon EllORCID; Robert O. RitchieORCID; Andrew M. MinorORCID

<jats:p> We address the three main points of Guo <jats:italic>et al</jats:italic> . They claim that we should have used the engineering stress versus engineering strain curves to infer the mechanical properties of our nanotwinned titanium, question our sample design on the basis of a finite-element analysis, and doubt the immobility of some preexisting grain/twin boundaries in our electron backscatter diffraction micrographs. We find their analysis to be groundless and to contain many inconsistencies. </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function

Gökcen EraslanORCID; Eugene DrokhlyanskyORCID; Shankara AnandORCID; Evgenij FiskinORCID; Ayshwarya SubramanianORCID; Michal SlyperORCID; Jiali WangORCID; Nicholas Van WittenbergheORCID; John M. Rouhana; Julia WaldmanORCID; Orr AshenbergORCID; Monkol Lek; Danielle DionneORCID; Thet Su Win; Michael S. CuocoORCID; Olena KuksenkoORCID; Alexander M. TsankovORCID; Philip A. BrantonORCID; Jamie L. MarshallORCID; Anna GrekaORCID; Gad GetzORCID; Ayellet V. SegrèORCID; François AguetORCID; Orit Rozenblatt-RosenORCID; Kristin G. ArdlieORCID; Aviv RegevORCID

<jats:p>Understanding gene function and regulation in homeostasis and disease requires knowledge of the cellular and tissue contexts in which genes are expressed. Here, we applied four single-nucleus RNA sequencing methods to eight diverse, archived, frozen tissue types from 16 donors and 25 samples, generating a cross-tissue atlas of 209,126 nuclei profiles, which we integrated across tissues, donors, and laboratory methods with a conditional variational autoencoder. Using the resulting cross-tissue atlas, we highlight shared and tissue-specific features of tissue-resident cell populations; identify cell types that might contribute to neuromuscular, metabolic, and immune components of monogenic diseases and the biological processes involved in their pathology; and determine cell types and gene modules that might underlie disease mechanisms for complex traits analyzed by genome-wide association studies.</jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

; Robert C. Jones; Jim Karkanias; Mark A. Krasnow; Angela Oliveira Pisco; Stephen R. Quake; Julia Salzman; Nir Yosef; Bryan Bulthaup; Phillip Brown; William Harper; Marisa Hemenez; Ravikumar Ponnusamy; Ahmad Salehi; Bhavani A. Sanagavarapu; Eileen Spallino; Ksenia A. Aaron; Waldo Concepcion; James M. Gardner; Burnett Kelly; Nikole Neidlinger; Zifa Wang; Sheela Crasta; Saroja Kolluru; Maurizio Morri; Angela Oliveira Pisco; Serena Y. Tan; Kyle J. Travaglini; Chenling Xu; Marcela Alcántara-Hernández; Nicole Almanzar; Jane Antony; Benjamin Beyersdorf; Deviana Burhan; Kruti Calcuttawala; Matthew M. Carter; Charles K. F. Chan; Charles A. Chang; Stephen Chang; Alex Colville; Sheela Crasta; Rebecca N. Culver; Ivana Cvijović; Gaetano D’Amato; Camille Ezran; Francisco X. Galdos; Astrid Gillich; William R. Goodyer; Yan Hang; Alyssa Hayashi; Sahar Houshdaran; Xianxi Huang; Juan C. Irwin; SoRi Jang; Julia Vallve Juanico; Aaron M. Kershner; Soochi Kim; Bernhard Kiss; Saroja Kolluru; William Kong; Maya E. Kumar; Angera H. Kuo; Rebecca Leylek; Baoxiang Li; Gabriel B. Loeb; Wan-Jin Lu; Sruthi Mantri; Maxim Markovic; Patrick L. McAlpine; Antoine de Morree; Maurizio Morri; Karim Mrouj; Shravani Mukherjee; Tyler Muser; Patrick Neuhöfer; Thi D. Nguyen; Kimberly Perez; Ragini Phansalkar; Angela Oliveira Pisco; Nazan Puluca; Zhen Qi; Poorvi Rao; Hayley Raquer-McKay; Nicholas Schaum; Bronwyn Scott; Bobak Seddighzadeh; Joe Segal; Sushmita Sen; Shaheen Sikandar; Sean P. Spencer; Lea C. Steffes; Varun R. Subramaniam; Aditi Swarup; Michael Swift; Kyle J. Travaglini; Will Van Treuren; Emily Trimm; Stefan Veizades; Sivakamasundari Vijayakumar; Kim Chi Vo; Sevahn K. Vorperian; Wanxin Wang; Hannah N. W. Weinstein; Juliane Winkler; Timothy T. H. Wu; Jamie Xie; Andrea R. Yung; Yue Zhang; Angela M. Detweiler; Honey Mekonen; Norma F. Neff; Rene V. Sit; Michelle Tan; Jia Yan; Gregory R. Bean; Vivek Charu; Erna Forgó; Brock A. Martin; Michael G. Ozawa; Oscar Silva; Serena Y. Tan; Angus Toland; Venkata N. P. Vemuri; Shaked Afik; Kyle Awayan; Olga Borisovna Botvinnik; Ashley Byrne; Michelle Chen; Roozbeh Dehghannasiri; Angela M. Detweiler; Adam Gayoso; Alejandro A. Granados; Qiqing Li; Gita Mahmoudabadi; Aaron McGeever; Antoine de Morree; Julia Eve Olivieri; Madeline Park; Angela Oliveira Pisco; Neha Ravikumar; Julia Salzman; Geoff Stanley; Michael Swift; Michelle Tan; Weilun Tan; Alexander J. Tarashansky; Rohan Vanheusden; Sevahn K. Vorperian; Peter Wang; Sheng Wang; Galen Xing; Chenling Xu; Nir Yosef; Marcela Alcántara-Hernández; Jane Antony; Charles K. F. Chan; Charles A. Chang; Alex Colville; Sheela Crasta; Rebecca Culver; Les Dethlefsen; Camille Ezran; Astrid Gillich; Yan Hang; Po-Yi Ho; Juan C. Irwin; SoRi Jang; Aaron M. Kershner; William Kong; Maya E. Kumar; Angera H. Kuo; Rebecca Leylek; Shixuan Liu; Gabriel B. Loeb; Wan-Jin Lu; Jonathan S. Maltzman; Ross J. Metzger; Antoine de Morree; Patrick Neuhöfer; Kimberly Perez; Ragini Phansalkar; Zhen Qi; Poorvi Rao; Hayley Raquer-McKay; Koki Sasagawa; Bronwyn Scott; Rahul Sinha; Hanbing Song; Sean P. Spencer; Aditi Swarup; Michael Swift; Kyle J. Travaglini; Emily Trimm; Stefan Veizades; Sivakamasundari Vijayakumar; Bruce Wang; Wanxin Wang; Juliane Winkler; Jamie Xie; Andrea R. Yung; Steven E. Artandi; Philip A. Beachy; Michael F. Clarke; Linda C. Giudice; Franklin W. Huang; Kerwyn Casey Huang; Juliana Idoyaga; Seung K. Kim; Mark Krasnow; Christin S. Kuo; Patricia Nguyen; Stephen R. Quake; Thomas A. Rando; Kristy Red-Horse; Jeremy Reiter; David A. Relman; Justin L. Sonnenburg; Bruce Wang; Albert Wu; Sean M. Wu; Tony Wyss-Coray

<jats:p>Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type–specific RNA splicing was discovered and analyzed across tissues within an individual.</jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Reversible CD8 T cell–neuron cross-talk causes aging-dependent neuronal regenerative decline

Luming ZhouORCID; Guiping KongORCID; Ilaria PalmisanoORCID; Maria Teresa CencioniORCID; Matt DanziORCID; Francesco De VirgiliisORCID; Jessica S. ChadwickORCID; Greg CrawfordORCID; Zicheng YuORCID; Fred De WinterORCID; Vance LemmonORCID; John BixbyORCID; Radhika PuttaguntaORCID; Joost Verhaagen; Constandina Pospori; Cristina Lo CelsoORCID; Jessica StridORCID; Marina BottoORCID; Simone Di GiovanniORCID

<jats:p> Aging is associated with increased prevalence of axonal injuries characterized by poor regeneration and disability. However, the underlying mechanisms remain unclear. In our experiments, RNA sequencing of sciatic dorsal root ganglia (DRG) revealed significant aging-dependent enrichment in T cell signaling both before and after sciatic nerve injury (SNI) in mice. Lymphotoxin activated the transcription factor NF-κB, which induced expression of the chemokine CXCL13 by neurons. This in turn recruited CXCR5 <jats:sup>+</jats:sup> CD8 <jats:sup>+</jats:sup> T cells to injured DRG neurons overexpressing major histocompatibility complex class I. CD8 <jats:sup>+</jats:sup> T cells repressed the axonal regeneration of DRG neurons via caspase 3 activation. CXCL13 neutralization prevented CXCR5 <jats:sup>+</jats:sup> CD8 <jats:sup>+</jats:sup> T cell recruitment to the DRG and reversed aging-dependent regenerative decline, thereby promoting neurological recovery after SNI. Thus, axonal regeneration can be facilitated by antagonizing cross-talk between immune cells and neurons. </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

Noninvasive assessment of gut function using transcriptional recording sentinel cells

Florian SchmidtORCID; Jakob ZimmermannORCID; Tanmay TannaORCID; Rick FarouniORCID; Tyrrell ConwayORCID; Andrew J. MacphersonORCID; Randall J. PlattORCID

<jats:p> Transcriptional recording by CRISPR spacer acquisition from RNA endows engineered <jats:italic>Escherichia coli</jats:italic> with synthetic memory, which through Record-seq reveals transcriptome-scale records. Microbial sentinels that traverse the gastrointestinal tract capture a wide range of genes and pathways that describe interactions with the host, including quantitative shifts in the molecular environment that result from alterations in the host diet, induced inflammation, and microbiome complexity. We demonstrate multiplexed recording using barcoded CRISPR arrays, enabling the reconstruction of transcriptional histories of isogenic bacterial strains in vivo. Record-seq therefore provides a scalable, noninvasive platform for interrogating intestinal and microbial physiology throughout the length of the intestine without manipulations to host physiology and can determine how single microbial genetic differences alter the way in which the microbe adapts to the host intestinal environment. </jats:p>

Palabras clave: Multidisciplinary.

Pp. No disponible

It ain’t over ’til it’s over

H. Holden Thorp

<jats:p>The Biden administration is sheepishly waving a checkered flag on the pandemic. If you look closely, you can see its members cringing as they do so. Chief Medical Advisor Anthony Fauci told the PBS Newshour that the United States was “out of the pandemic phase” and then walked it back, saying he meant that the “acute component” of the pandemic phase was over. President Biden attended the likely superspreading White House Correspondents’ Dinner last weekend but skipped cocktails and the meal, opting to just give his talk. Fauci avoided the whole affair. Meanwhile, Vice President Harris continued to isolate after her positive COVID-19 test, and many members of Congress and the administration announced positive test results as well. All of this happened while the White House allowed a renegade federal judge in Florida (where else?) to end the nationwide mask mandate without much of a fight. These mixed messages have been emanating from the administration for months now, and although those with resources have tools to manage COVID-19, care needs to be taken that those without such means are not forgotten.</jats:p>

Palabras clave: Multidisciplinary.

Pp. 675-675

News at a glance

Lila Guterman (eds.)

Palabras clave: Multidisciplinary.

Pp. 676-678