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A Shift Towards an Immature Myeloid Profile in Peripheral Blood of Critically Ill COVID-19 Patients.

Eduardo Vadillo | Keiko Taniguchi-Ponciano | Constantino Lopez-Macias | Roberto Carvente-Garcia | Hector Mayani | Eduardo Ferat-Osorio | Guillermo Flores-Padilla | Javier Torres | Cesar Raul Gonzalez-Bonilla | Abraham Majluf | Alejandra Albarran-Sanchez | Juan Carlos Galan | Eduardo Peña-Martínez | Gloria Silva-Román | Sandra Vela-Patiño | Aldo Ferreira-Hermosillo | Claudia Ramirez-Renteria | Nancy Adriana Espinoza-Sanchez | Rosana Pelayo-Camacho | Laura Bonifaz | Lourdes Arriaga-Pizano | Carlos Mata-Lozano | Sergio Andonegui-Elguera | Niels Wacher | Francisco Blanco-Favela | Roberto De-Lira-Barraza | Humberto Villanueva-Compean | Alejandra Esquivel-Pineda | Rubén Ramírez-Montes-de-Oca | Carlos Anda-Garay | Maura Noyola-García | Luis Guizar-García | Arturo Cerbulo-Vazquez | Horacio Zamudio-Meza | Daniel Marrero-Rodríguez | Moises Mercado
Archives of medical research | 2021

SARS-CoV-2, the etiological agent causing COVID-19, has infected more than 27 million people with over 894000 deaths worldwide since its emergence in December 2019. Factors for severe diseases, such as diabetes, hypertension, and obesity have been identified however, the precise pathogenesis is poorly understood. To understand its pathophysiology and to develop effective therapeutic strategies, it is essential to define the prevailing immune cellular subsets.

Pubmed ID: 33248817

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

None

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This is a list of tools and resources that we have found mentioned in this publication.


Systems Transcriptional Activity Reconstruction (tool)

RRID:SCR_005622

A next-generation web-based application that aims to provide an integrated solution for both visualization and analysis of deep-sequencing data, along with simple access to public datasets.

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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (tool)

RRID:SCR_006786

Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish.

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Public Health Genomics (tool)

RRID:SCR_006462

The Office of Public Health Genomics (OPHG) aims to integrate genomics into public health research, policy, and programs. Doing so could improve interventions designed to prevent and control the country''s leading chronic, infectious, environmental, and occupational diseases. OPHG''s efforts focus on conducting population-based genomic research, assessing the role of family health history in disease risk and prevention, supporting a systematic process for evaluating genetic tests, translating genomics into public health research and programs, and strengthening capacity for public health genomics in disease prevention programs. Goals: To improve public health interventions of diseases of major public health importance, including chronic, infectious, environmental, and occupational diseases, through six major initiatives: * Evaluation of Genomic Applications in Practice and Prevention (EGAPP), * Human Genome Epidemiology Network (HuGENet), * NHANES Collaborative Genomics Project, * Family History Public Health Initiative, * Genomics Translation Research and Programs, and, * Genomic Applications in Practice and Prevention Network (GAPPNet).

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