Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Judie Howrylak"'
2
Akademický článek
Analysis of CDR3 Sequences from T-Cell Receptor β in Acute Respiratory Distress Syndrome
Autor: Sara Hey, Dayjah Whyte, Minh-Chau Hoang, Nick Le, Joseph Natvig, Claire Wingfield, Charles Onyeama, Judie Howrylak, Inimary T. Toby
Publikováno v: Biomolecules, Vol 13, Iss 5, p 825 (2023)
Acute Respiratory Distress Syndrome (ARDS) is an illness that typically develops in people who are significantly ill or have serious injuries. ARDS is characterized by fluid build-up that occurs in the alveoli. T-cells are implicated as playing a rol
Externí odkaz: https://doaj.org/article/da11b6cb405145cd8a0c7f9c8571e217
Zobrazit plný text záznamu
3
Akademický článek
Surfactant Protein D Influences Mortality During Abdominal Sepsis by Facilitating Escherichia coli Colonization in the Gut
Autor: Jack Varon, MD, MBA, Antonio Arciniegas Rubio, MD, Diana Amador-Munoz, MD, Alexis Corcoran, BA, Joseph A. DeCorte, BS, Colleen Isabelle, BA, Miguel Pinilla Vera, MD, Katherine Walker, MD, MSc, Luke Brown, BSc, Manuela Cernadas, MD, Lynn Bry, MD, PhD, Haopu Yang, Georgios D. Kitsios, MD, PhD, Bryan J. McVerry, MD, Alison Morris, MD, MS, Hyunwook Lee, BA, Judie Howrylak, MD, PhD, Joshua A. Englert, MD, Rebecca M. Baron, MD
Publikováno v: Critical Care Explorations, Vol 4, Iss 5, p e0699 (2022)
OBJECTIVES:. Determine the role of surfactant protein D (SPD) in sepsis. DESIGN:. Murine in vivo study. SETTING:. Research laboratory at an academic medical center. PATIENTS:. SPD knockout (SPD−/−) and wild-type (SPD+/+) mice. INTERVENTIONS:. SPD
Externí odkaz: https://doaj.org/article/6ca943f89eaf4aab8b566e2dfd90048f
Zobrazit plný text záznamu
4
Akademický článek
Learning gene networks underlying clinical phenotypes using SNP perturbation.
Autor: Calvin McCarter, Judie Howrylak, Seyoung Kim
Publikováno v: PLoS Computational Biology, Vol 16, Iss 10, p e1007940 (2020)
Availability of genome sequence, molecular, and clinical phenotype data for large patient cohorts generated by recent technological advances provides an opportunity to dissect the genetic architecture of complex diseases at system level. However, pre
Externí odkaz: https://doaj.org/article/f0cc68211ed841309a1231f33042060d
Zobrazit plný text záznamu
6
Learning gene networks underlying clinical phenotypes using SNP perturbation
Autor: Judie Howrylak, Se Young Kim, Seyoung Kim, Calvin McCarter
Publikováno v: PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 10, p e1007940 (2020)
Availability of genome sequence, molecular, and clinical phenotype data for large patient cohorts generated by recent technological advances provides an opportunity to dissect the genetic architecture of complex diseases at system level. However, pre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6153d8cc895516d26433066e6ee75751
http://europepmc.org/articles/PMC7584257
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje