S
Shila Ghazanfar
Researcher at University of Cambridge
Publications - 47
Citations - 1497
Shila Ghazanfar is an academic researcher from University of Cambridge. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 13, co-authored 35 publications receiving 687 citations. Previous affiliations of Shila Ghazanfar include Commonwealth Scientific and Industrial Research Organisation & University of Sydney.
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Journal ArticleDOI
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
Michael Snyder,Shin Lin,Amanda Posgai,Mark A. Atkinson,Aviv Regev,Jennifer Rood,Orit Rozenblatt-Rosen,Leslie Gaffney,Anna Hupalowska,Rahul Satija,Nils Gehlenborg,Jay Shendure,Julia Laskin,Pehr B. Harbury,Nicholas A. Nystrom,Jonathan C. Silverstein,Ziv Bar-Joseph,Kun Zhang,Katy Börner,Yiing Lin,Richard Conroy,Dena Procaccini,Ananda L. Roy,Ajay Pillai,Marishka Brown,Zorina S. Galis,Caltech-UW Tmc,Long Cai,Cole Trapnell,Dana Jackson,Stanford-WashU Tmc,Garry P. Nolan,William J. Greenleaf,Sylvia K. Plevritis,Sara Ahadi,Stephanie A. Nevins,Hayan Lee,Christian Martijn Schuerch,Sarah Black,Vishal G. Venkataraaman,Ed Esplin,Aaron M. Horning,Amir Bahmani,Ucsd Tmc,Xin bSun,Sanjay Jain,James S. Hagood,Gloria S. Pryhuber,Peter V. Kharchenko,Bernd bBodenmiller,Todd M. Brusko,Michael J. Clare-Salzler,Harry S. Nick,Kevin J. Otto,Clive hWasserfall,Marda Jorgensen,Maigan A. Brusko,Sergio Maffioletti,Richard M. Caprioli,Jeffrey M. Spraggins,Danielle cGutierrez,Nathan Heath Patterson,Elizabeth K. Neumann,Raymond C. Harris,Mark P. deCaestecker,Agnes B. Fogo,Raf Van de Plas,Ken S. Lau,Guo-Cheng Yuan,Qian Zhu,Ruben Dries,Harvard Ttd,Peng Yin,Sinem K. Saka,Jocelyn Y. Kishi,Yu Wang,Isabel Goldaracena,Purdue Ttd,DongHye Ye,Kristin E. Burnum-Johnson,Paul D. Piehowski,Charles Ansong,Ying Zhu,Stanford Ttd,Tushar bDesai,Jay Mulye,Peter Chou,Monica Nagendran,Visualization HuBMAP Integration,Sarah A. Teichmann,Benedict aten,Robert F. dMurphy,Jian Ma,Vladimir Yu. Kiselev,Carl Kingsford,Allyson Ricarte,Maria Keays,Sushma A. Akoju,Matthew Ruffalo,Margaret Vella,Chuck McCallum,Leonard E. Cross,Samuel H. Friedman,Randy Heiland,Bruce Herr,Paul Macklin,Ellen M. Quardokus,Lisel Record,James P. Sluka,Griffin M. Weber,Engagement Component,Philip D. Blood,Alexander J. Ropelewski,William E. Shirey,Robin M. Scibek,Paula M. Mabee,W. Christopher Lenhardt,Kimberly Robasky,Stavros Michailidis,John C. Marioni,Andrew Butler,Tim Stuart,Eyal Fisher,Shila Ghazanfar,Gökcen Eraslan,Tommaso Biancalani,Eeshit Dhaval Vaishnav,Ananda L. Roy,Zorina S. Galis,Pothur Srinivas,Aaron Pawlyk,Salvatore Sechi,Elizabeth L. Wilder,James E. Anderson +133 more
TL;DR: The NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping.
Journal ArticleDOI
Circulating Cytokines Predict Immune-Related Toxicity in Melanoma Patients Receiving Anti-PD-1-Based Immunotherapy.
Su Yin Lim,Su Yin Lim,Jenny H. Lee,Jenny H. Lee,Tuba N. Gide,Alexander M. Menzies,Alexander M. Menzies,Alexander Guminski,Alexander Guminski,Matteo S. Carlino,Matteo S. Carlino,Edmond J. Breen,Jean Yee Hwa Yang,Shila Ghazanfar,Richard F. Kefford,Richard F. Kefford,Richard F. Kefford,Richard A. Scolyer,Richard A. Scolyer,Georgina V. Long,Georgina V. Long,Helen Rizos,Helen Rizos +22 more
TL;DR: The CYTOX score, which includes proinflammatory cytokines such as IL1a, IL2, and IFNα2, may help in the early management of severe, potentially life-threatening immune-related toxicity in patients with melanoma treated with combination anti-CTLA-4 and anti-PD-1 immunotherapy.
Journal ArticleDOI
Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics.
Christoph Muus,Malte D Luecken,Gökcen Eraslan,Lisa Sikkema,Avinash Waghray,Graham Heimberg,Yoshihiko Kobayashi,Eeshit Dhaval Vaishnav,Eeshit Dhaval Vaishnav,Ayshwarya Subramanian,Christopher Smillie,Karthik A. Jagadeesh,Elizabeth Thu Duong,Evgenij Fiskin,Elena Torlai Triglia,Meshal Ansari,Peiwen Cai,Brian M. Lin,Justin Buchanan,Sijia Chen,Jian Shu,Adam L. Haber,Adam L. Haber,Hattie Chung,Daniel T. Montoro,Taylor Adams,Hananeh Aliee,Samuel J. Allon,Samuel J. Allon,Samuel J. Allon,Zaneta Andrusivova,Ilias Angelidis,Orr Ashenberg,Kevin Bassler,Christophe Bécavin,Inbal Benhar,Joseph Bergenstråhle,Ludvig Bergenstråhle,Liam Bolt,Emelie Braun,Linh T. Bui,Steven Callori,Mark Chaffin,Evgeny Chichelnitskiy,Joshua Chiou,Thomas M. Conlon,Michael S. Cuoco,Anna S E Cuomo,Marie Deprez,Grant Duclos,Denise Fine,David S. Fischer,Shila Ghazanfar,Astrid Gillich +53 more
TL;DR: In this paper, cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues was assessed.
Journal ArticleDOI
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Yingxin Lin,Shila Ghazanfar,Kevin Wang,Johann A. Gagnon-Bartsch,Kitty Lo,Xianbin Su,Ze-Guang Han,John T. Ormerod,Terence P. Speed,Terence P. Speed,Pengyi Yang,Jean Yee Hwa Yang +11 more
TL;DR: This study presents scMerge, an algorithm that integrates multiple single-cell RNA-seq datasets using factor analysis of stably expressed genes and pseudoreplicates across datasets and demonstrates that it consistently provides improved cell type separation by removing unwanted factors.
Journal ArticleDOI
Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis
Tim Lohoff,Tim Lohoff,Shila Ghazanfar,A. Missarova,A. Missarova,Noushin Koulena,Nico Pierson,Jonathan A. Griffiths,Evan S. Bardot,Chee-Huat Linus Eng,Richard C. V. Tyser,Ricard Argelaguet,Ricard Argelaguet,Carolina Guibentif,Carolina Guibentif,Shankar Srinivas,James Briscoe,Benjamin D. Simons,Anna-Katerina Hadjantonakis,Bertie Gottgens,Wolf Reik,J. Nichols,Long Cai,John C. Marioni,John C. Marioni,John C. Marioni +25 more
TL;DR: In this article, the authors apply an image-based single-cell transcriptomics method, sequential fluorescence in situ hybridization (seqFISH), to detect mRNAs for 387 target genes in tissue sections of mouse embryos at the 8-12 somite stage.