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Ida Grundberg
Researcher at Uppsala University
Publications - 23
Citations - 3595
Ida Grundberg is an academic researcher from Uppsala University. The author has contributed to research in topics: Population & Proteome. The author has an hindex of 10, co-authored 23 publications receiving 2551 citations. Previous affiliations of Ida Grundberg include Science for Life Laboratory.
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Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.
Alexandra-Chloé Villani,Alexandra-Chloé Villani,Rahul Satija,Rahul Satija,Gary Reynolds,Siranush Sarkizova,Karthik Shekhar,James Fletcher,Morgane Griesbeck,Andrew Butler,Shiwei Zheng,Suzan Lazo,Laura Jardine,David Dixon,Emily Stephenson,Emil Nilsson,Ida Grundberg,David McDonald,Andrew Filby,Weibo Li,Weibo Li,Philip L. De Jager,Philip L. De Jager,Orit Rozenblatt-Rosen,Andrew A. Lane,Andrew A. Lane,Muzlifah Haniffa,Muzlifah Haniffa,Aviv Regev,Aviv Regev,Aviv Regev,Nir Hacohen,Nir Hacohen +32 more
TL;DR: This refined analysis has identified, among others, a previously unknown dendritic cell population that potently activates T cells and reclassify pDCs as the originally described “natural interferon-producing cells (IPCs)” with weaker T cell proliferation induction ability.
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
Alexandra-Chloé Villani,Alexandra-Chloé Villani,Rahul Satija,Rahul Satija,Gary Reynolds,Siranush Sarkizova,Karthik Shekhar,James Fletcher,Morgane Griesbeck,Andrew Butler,Shiwei Zheng,Suzan Lazo,Laura Jardine,David Dixon,Emily Stephenson,Emil Nilsson,Ida Grundberg,David McDonald,Andrew Filby,Weibo Li,Weibo Li,Philip L. De Jager,Philip L. De Jager,Orit Rozenblatt-Rosen,Andrew A. Lane,Andrew A. Lane,Muzlifah Haniffa,Muzlifah Haniffa,Aviv Regev,Aviv Regev,Aviv Regev,Nir Hacohen,Nir Hacohen +32 more
TL;DR: In this paper, the authors performed single-cell RNA sequencing of ~2400 cells isolated from healthy blood donors and enriched for HLA-DR + lineage − cells, which led them to identify and validate six Dendritic cells (DCs) and four monocyte subtypes.
Journal ArticleDOI
In situ detection and genotyping of individual mRNA molecules.
TL;DR: A method for detection and genotyping of individual transcripts based on padlock probes and in situ target-primed rolling-circle amplification is presented, which detects a somatic point mutation, differentiate between members of a gene family and perform multiplex detection of transcripts in human and mouse cells and tissue.
Journal ArticleDOI
Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions
Michael R. Filbin,Michael R. Filbin,Arnav Mehta,Alexis M. Schneider,Kyle R. Kays,Jamey R. Guess,Matteo Gentili,Bánk G. Fenyves,Bánk G. Fenyves,Nicole C. Charland,Anna L.K. Gonye,Anna L.K. Gonye,Irena Gushterova,Irena Gushterova,Hargun K. Khanna,Thomas J. LaSalle,Thomas J. LaSalle,Kendall M. Lavin-Parsons,Brendan M. Lilley,Carl L. Lodenstein,Kasidet Manakongtreecheep,Kasidet Manakongtreecheep,Justin D. Margolin,Brenna N. McKaig,Maricarmen Rojas-Lopez,Brian C. Russo,Nihaarika Sharma,Nihaarika Sharma,Jessica Tantivit,Jessica Tantivit,Molly Thomas,Robert E. Gerszten,Robert E. Gerszten,Graham Heimberg,Paul Hoover,Paul Hoover,David J. Lieb,Brian M. Lin,Debby Ngo,Debby Ngo,Karin Pelka,Miguel Reyes,Christopher Smillie,Avinash Waghray,Thomas E. Wood,Amanda S. Zajac,Lori L. Jennings,Ida Grundberg,Roby P. Bhattacharyya,Roby P. Bhattacharyya,Blair A. Parry,Alexandra-Chloé Villani,Moshe Sade-Feldman,Moshe Sade-Feldman,Nir Hacohen,Nir Hacohen,Marcia B. Goldberg +56 more
TL;DR: In this paper, the authors analyzed several thousand plasma proteins longitudinally in 306 severe coronavirus disease 2019 (COVID-19) patients and 78 symptomatic controls, uncovering immune and non-immune proteins linked to COVID-2019.
Journal ArticleDOI
Plasma ACE2 predicts outcome of COVID-19 in hospitalized patients.
Tue Wenzel Kragstrup,Helene Søgaard Singh,Ida Grundberg,Ane Langkilde-Lauesen Nielsen,Ane Langkilde-Lauesen Nielsen,Felice Rivellese,Arnav Mehta,Marcia B. Goldberg,Michael R. Filbin,Per Qvist,Per Qvist,Bo Martin Bibby +11 more
TL;DR: It is suggested that measuring plasma ACE2 is potentially valuable in predicting COVID-19 outcomes and ACE2 could be a link between CO VID-19 illness severity and its established risk factors hypertension, pre- existing heart disease and pre-existing kidney disease.