Author

S. Pasquali

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Arthur· 1 shared A. Gronchi· 1 shared A. Jenks· 1 shared A. M. Barker· 1 shared A. Whitehouse· 1 shared C. Wilding· 1 shared D. Callegaro· 1 shared D. Strauss· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCancer Biology

A. Arthur

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Proteomic characterisation of Sarculator nomogram-defined risk groups in soft tissue sarcomas of the extremities and trunk wall

M. Chadha, S. Iadecola, A. Jenks, J. Burns, A. Arthur, V. Pankova, C. Wilding, D. Callegaro, D. Strauss, K. Thway, A. Gronchi, R. Jones, R. Miceli, S. Pasquali, P. H. Huang

This study identifies a DNA replication protein signature (SPM6) that improves risk stratification in soft tissue sarcomas when combined with the Sarculator nomogram.

bioRxiv · Nov 14, 2023 · PreprintCancer Biology

Investigating the structural changes due to adenosine methylation of the Kaposi's sarcoma-associated herpes virus ORF50 transcript

K. Roeder, A. M. Barker, A. Whitehouse, S. Pasquali

The paper examines how adenosine methylation affects the structural stability of the KSHV ORF50 RNA stem loop by comparing energy landscapes of methylated and unmethylated forms.

bioRxiv · Nov 16, 2021Biophysics

Biasing RNA coarse-grained folding simulations with Small--Angle X--ray Scattering (SAXS) data

L. Mazzanti, L. Alferkh, E. Frezza, S. Pasquali

The paper integrates SAXS data with coarse-grained RNA simulations to refine structural predictions from partially folded starting points.

bioRxiv · Mar 29, 2021Biophysics