Author

Ricardo J. Miragaia

AstraZeneca (United Kingdom)ORCID 0000-0002-7924-079XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 3 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Assay:scRNA-seq· 3 Approach:deep learning· 2 Organism:mouse· 2

Frequent Co-Authors

Sarah Amalia TeichmanniD· 2 shared A. Tsingene· 1 shared Alex Kalinka· 1 shared Andy SayeriD· 1 shared Anna Wilbrey-ClarkiD· 1 shared Ashutosh TrehaniD· 1 shared Chara Mastrokalou· 1 shared Curtis HartiD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersGenomics

Sarah Amalia TeichmannORCID

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Author profile →

4 papers

Recent·Most cited

Comparative Single-Cell Profiling of CRISPR Knockout and Interference Defines Modality-Specific Strengths in Functional Genomics

Nikhil Gupta, Andy Sayer, Malwina Prater, Chara Mastrokalou, Khalid Saeed, Curtis Hart, Ricardo J. Miragaia, Ashutosh Trehan, Ultan McDermott, Magdalena E Strauß, Douglas Ross‐Thriepland, David Walter, Alex Kalinka

This study compares CRISPR knockout and interference methods using single-cell RNA sequencing to evaluate their strengths in functional genomics.

bioRxiv · Aug 27, 2026 · PreprintGenomics

Integrated single-cell analyses of affinity-tested B-cells enable the identification of a gene signature to predict antibody affinity.

Michele Chirichella, Matthew Ratcliff, Shuang Gu, Ricardo J. Miragaia, Massimo Domenico Sammito, Valentina Cutano, Suzanne E. Cohen, Davide Angeletti, Xavier Romero Ros, Darren J. Schofield

The paper identifies a transcriptomic signature, 'High Signature', that predicts high-affinity antibodies from B-cells without sequence analysis.

Cell Systems · Feb 1, 2026Peer-reviewedImmunology

Lung, spleen and oesophagus tissue remains stable for scRNAseq in cold preservation

Elo Madissoon, Anna Wilbrey-Clark, Ricardo J. Miragaia, Kourosh Saeb‐Parsy, Krishnaa T. A. Mahbubani, Nikitas Georgakopoulos, P. Harding, Krzysztof Polański, Karol Nowicki-Osuch, Rebecca Claire Fitzgerald, Kevin W. Loudon, John Robert Ferdinand, Menna Ruth Clatworthy, A. Tsingene, Stijn van Dongen, , Kerstin B. Meyer

This study evaluates the impact of cold storage on scRNAseq data quality for lung, spleen, and oesophagus tissues, finding minimal effects within 24 hours but increased stress markers at 72 hours.

bioRxiv · Aug 31, 2019 · PreprintGenomics

A rapid and robust method for single cell chromatin accessibility profiling

Xi Xian Chen, Ricardo J. Miragaia, Kedar Nath Natarajan, Sarah Amalia Teichmann

Upfront bulk Tn5 tagging then single-nucleus sorting into plates gives scATAC-seq libraries with higher complexity than Fluidigm C1, resolving 12 clusters among 3,385 mouse splenocytes.

Nature Communications · Dec 11, 2018Peer-reviewedGenomics✦ In-depth digest