Racist Nativism in the College Access Experiences of Undocumented Latinx Students

This study explores undocumented Latinx students\u27 college access experiences through a racist nativist framework to understand how the ideologies of racism and xenophobia underlie the possibilities of pursuing college aspirations. This article describes five particular ways in which racist nativism underlies undocumented Latinx college access experiences. These included 1) systematic lack of institutional college knowledge, 2) restricted college outreach, 3) instilling fear in pursuing college aspirations, 4) discriminatory financial aid policies and practices, and 5) contradictory rhetoric of deservingness of educational and life opportunities. This paper supports an understanding of undocumented Latinx student educational processes at the intersection of systems of marginality, as the practices, policies, and structures in higher education are microcosms of larger societal ideologies and inequities

Beyond Counting Words: A paradigm Shift for the Study of Language Acquisition

The 30-million-word gap, the quantified difference in the amount of speech that children growing up in low-resourced homes hear compared to their peers from high-resourced homes, is a phrase that has entered the collective consciousness. In the discussion of quantity, the complex and nuanced environments in which children learn language were distilled into a singular metric—number of words. In this article, we propose examining children’s language environments by focusing on what caregivers communicate to children and how they communicate it. Focusing on the features of the language environment promotes a more inclusive approach to understanding how children learn and the diverse contexts in which that learning occurs

The experiences of undocumented Latina/o youth during their transition to college

Guided by the critical network analytic framework and liminal legality, this qualitative study explored the experiences of undocumented Latina/o youth in their first year in college to gain insight into their experiences during a critical transition in their educational and life trajectories. This work centered the experiences of youth within a policy context of contradictions that provides increased opportunities, but continues to impose restrictions and control on the life and educational aspirations of the undocumented community. This scholarship aimed to understand how students’ transition to college is impacted by current immigration and educational policies, particularly the California Dream Act and the Deferred Action for Childhood Arrivals (DACA) program. This research describes the racist nativist microaggressions youth experienced throughout their educational trajectories, the multiple ways policy impacted the transition to college, and the navigational strategies youth employed to matriculate to higher education

Correction: Corrigendum: High-throughput discovery of novel developmental phenotypes

This corrects the article DOI: 10.1038/nature19356

High-throughput discovery of novel developmental phenotypes.

Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we identify 410 lethal genes during the production of the first 1,751 unique gene knockouts. Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes. Unexpectedly, our analysis reveals that incomplete penetrance and variable expressivity are common even on a defined genetic background. In addition, we show that human disease genes are enriched for essential genes, thus providing a dataset that facilitates the prioritization and validation of mutations identified in clinical sequencing efforts

High-throughput discovery of novel developmental phenotypes.

Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we identify 410 lethal genes during the production of the first 1,751 unique gene knockouts. Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes. Unexpectedly, our analysis reveals that incomplete penetrance and variable expressivity are common even on a defined genetic background. In addition, we show that human disease genes are enriched for essential genes, thus providing a dataset that facilitates the prioritization and validation of mutations identified in clinical sequencing efforts

A global metagenomic map of urban microbiomes and antimicrobial resistance

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.