Author

Romina S. Goldszmid

National Cancer InstituteORCID 0000-0001-8801-8528Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Immunology· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Amélie LopèsiD· 3 shared Khiem Chi LamiD· 3 shared Quanyi Chen· 3 shared Jessica Rappaport· 2 shared Maxwell P. LeeiD· 2 shared Andres Thorkelsson· 1 shared Andy D. TraniD· 1 shared Antonella SassanoiD· 1 shared

Activity by Year

2024-2024 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCancer Biology

Amélie LopèsORCID

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4 papers

Recent·Most cited

ImmunologybioRxivPreprintAug 26, 2024

IMMUNE AND MOLECULAR CORRELATES OF RESPONSE TO IMMUNOTHERAPY REVEALED BY BRAIN-METASTATIC MELANOMA MODELS.

Amélie Lopès, Eva Pérez‐Guijarro, Vishaka Gopalan…·Romina S. Goldszmid

This study develops mouse models of brain metastatic melanoma to identify immune and molecular factors influencing response to immunotherapy.

1 citation

mousebulk RNA-seq

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ImmunologybioRxivPreprintJul 23, 2024

Use of optimized single-cell RNA flow cytometry protocol identifies monocytes as main producers of type I interferon in mouse syngeneic tumors

Khiem Chi Lam, Quanyi Chen, Romina S. Goldszmid

DOI 10.1101/2024.07.23.604694

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Cancer BiologybioRxivPreprintJan 24, 2024

Loss of NAT10 disrupts enhancer organization via p300 mislocalization and suppresses transcription of genes necessary for metastasis progression.

Ruhul Amin, Ngoc‐Han Ha, Tinghu Qiu…·Kent W. Hunter

This study shows that NAT10 loss reduces lung metastasis by disrupting enhancer organization through p300 mislocalization and altering gene transcription related to metastasis.

3 citations

mousebulk RNA-seq

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Cancer BiologyMethods in cell biologyPeer-reviewedJan 1, 2024

Development of an optimized machine learning approach to enhance brain metastatic burden assessment in preclinical models.

Jessica Rappaport, Quanyi Chen, Tomi McGuire…·Romina S. Goldszmid

The paper develops a semi-automatic machine learning approach to quantify brain metastatic burden in mouse whole-brain images using QuPath.

4 citationstop 3%

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