Zobrazeno 1 - 10
of 21
pro vyhledávání: '"José Alquicira-Hernandez"'
Autor:
Francisco Avila Cobos, José Alquicira-Hernandez, Joseph E. Powell, Pieter Mestdagh, Katleen De Preter
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Inferring cell type proportions from transcriptomics data is affected by data transformation, normalization, choice of method and the markers used. Here, the authors use single-cell RNAseq datasets to evaluate the impact of these factors and propose
Externí odkaz:
https://doaj.org/article/bce8d3da8b7e49c7b03795b732b6ebd6
Publikováno v:
Clinical & Translational Immunology, Vol 10, Iss 7, Pp n/a-n/a (2021)
Abstract Objectives A recent single‐cell RNA sequencing study by Wilk et al. suggested that plasmablasts can transdifferentiate into ‘developing neutrophils’ in patients with severe COVID‐19 disease. We explore the evidence for this. Methods
Externí odkaz:
https://doaj.org/article/af963d5045c440c8b164444621edade1
Autor:
Francisco Avila Cobos, José Alquicira-Hernandez, Joseph E. Powell, Pieter Mestdagh, Katleen De Preter
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20288-9
Externí odkaz:
https://doaj.org/article/13fb939bc4424954a0dfb055cca46da4
Autor:
Weng Hua Khoo, Katherine Jackson, Chansavath Phetsouphanh, John J. Zaunders, José Alquicira-Hernandez, Seyhan Yazar, Stephanie Ruiz-Diaz, Mandeep Singh, Rama Dhenni, Wunna Kyaw, Fiona Tea, Vera Merheb, Fiona X. Z. Lee, Rebecca Burrell, Annaleise Howard-Jones, Archana Koirala, Li Zhou, Aysen Yuksel, Daniel R. Catchpoole, Catherine L. Lai, Tennille L. Vitagliano, Romain Rouet, Daniel Christ, Benjamin Tang, Nicholas P. West, Shane George, John Gerrard, Peter I. Croucher, Anthony D. Kelleher, Christopher G. Goodnow, Jonathan D. Sprent, Joseph D. Powell, Fabienne Brilot, Ralph Nanan, Peter S. Hsu, Elissa K. Deenick, Philip N. Britton, Tri Giang Phan
SUMMARYChildren infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop less severe coronavirus disease 2019 (COVID-19) than adults. The mechanisms for the age-specific differences and the implications for infection-induced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a44cfb788a9ec10e32602c827e7e9bf
https://hdl.handle.net/2123/28409
https://hdl.handle.net/2123/28409
Autor:
Weng Hua Khoo, Katherine Jackson, Chansavath Phetsouphanh, John J. Zaunders, José Alquicira-Hernandez, Seyhan Yazar, Stephanie Ruiz-Diaz, Mandeep Singh, Rama Dhenni, Wunna Kyaw, Fiona Tea, Vera Merheb, Fiona X.Z. Lee, Rebecca Burrell, Annaleise Howard-Jones, Archana Koirala, Li Zhou, Aysen Yuksel, Daniel R. Catchpoole, Catherine L. Lai, Tennille L. Vitagliano, Romain Rouet, Daniel Christ, Benjamin Tang, Nicholas P. West, Shane George, John Gerrard, Peter I. Croucher, Anthony D. Kelleher, Christopher G. Goodnow, Jonathan D. Sprent, Joseph E. Powell, Fabienne Brilot, Ralph Nanan, Peter S. Hsu, Elissa K. Deenick, Philip N. Britton, Tri Giang Phan
Publikováno v:
Clinical Immunology. 246:109209
Children infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop less severe coronavirus disease 2019 (COVID-19) than adults. The mechanisms for the age-specific differences and the implications for infection-induced immuni
Publikováno v:
Bioinformatics. 37:2485-2487
Summary Data sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualized in a low-dimensional space. Here, we introduce Nebulosa, an R package that uses weighted kernel density estimation to recover signals
Autor:
Leonardo Collado-Torres, Joselyn Chávez, Carmina Barberena-Jonas, José Alquicira-Hernandez, Jesus E Sotelo-Fonseca, Heladia Salgado, Alejandro Reyes
Publikováno v:
Bioinformatics
Summary RegulonDB has collected, harmonized and centralized data from hundreds of experiments for nearly two decades and is considered a point of reference for transcriptional regulation in Escherichia coli K12. Here, we present the regutools R packa
Autor:
Melissa H. Little, Joseph E. Powell, José Alquicira-Hernandez, Aude Dorison, Jessica M. Vanslambrouck, Sara E. Howden, Sean B. Wilson
Kidney organoids provide a valuable resource to understand kidney development and disease. Clustering algorithms and marker genes fail to accurately and robustly classify cellular identity between human pluripotent stem cell (hPSC)-derived organoid d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e606735a335d8d112696ddc5f605945b
https://doi.org/10.1101/2021.01.20.427346
https://doi.org/10.1101/2021.01.20.427346
SummaryData sparsity in single-cell experiments prevents an accurate assessment of gene expression when visualised in a low-dimensional space. Here, we introduce Nebulosa, an R package that uses weighted kernel density estimation to recover signals l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fccfacd5e7ade93140b391643d69e895
https://doi.org/10.1101/2020.09.29.315879
https://doi.org/10.1101/2020.09.29.315879
A recent study by Wilk et al. of the transcriptome of peripheral blood mononuclear cells (PBMCs) in seven patients hospitalized with COVID-19 described a population of “developing neutrophils” that were “phenotypically related by dimensionality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ab655c545c3a89c7237d9451071e093
https://doi.org/10.1101/2020.09.27.312538
https://doi.org/10.1101/2020.09.27.312538