Denis Schapiro
Denis Schapiro
Independent Fellow at Harvard Medical School and Broad Institute
Verified email at
Cited by
Cited by
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
C Giesen, HAO Wang, D Schapiro, N Zivanovic, A Jacobs, B Hattendorf, ...
Nature methods 11 (4), 417-422, 2014
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
D Schapiro, HW Jackson, S Raghuraman, JR Fischer, VRT Zanotelli, ...
Nature methods 14 (9), 873, 2017
Simultaneous multiplexed imaging of mRNA and proteins with subcellular resolution in breast cancer tissue samples by mass cytometry
D Schulz, VRT Zanotelli, JR Fischer, D Schapiro, S Engler, XK Lun, ...
Cell systems 6 (1), 25-36. e5, 2018
High-definition spatial transcriptomics for in situ tissue profiling
S Vickovic, G Eraslan, F Salmén, J Klughammer, L Stenbeck, D Schapiro, ...
Nature methods 16 (10), 987-990, 2019
A map of human type 1 diabetes progression by imaging mass cytometry
N Damond, S Engler, VRT Zanotelli, D Schapiro, CH Wasserfall, ...
Cell metabolism 29 (3), 755-768. e5, 2019
Automatic single cell segmentation on highly multiplexed tissue images
PJ Schüffler, D Schapiro, C Giesen, HAO Wang, B Bodenmiller, ...
Cytometry Part A 87 (10), 936-942, 2015
Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry
XK Lun, VRT Zanotelli, JD Wade, D Schapiro, M Tognetti, N Dobberstein, ...
Nature biotechnology 35 (2), 164-172, 2017
The Human Tumor Atlas Network: charting tumor transitions across space and time at single-cell resolution
O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ...
Cell 181 (2), 236-249, 2020
Modeling cell-cell interactions from spatial molecular data with spatial variance component analysis
D Arnol, D Schapiro, B Bodenmiller, J Saez-Rodriguez, O Stegle
Cell reports 29 (1), 202-211. e6, 2019
High-dimensional phenotyping identifies age-emergent cells in human mammary epithelia
FAP Vatter, D Schapiro, H Chang, AD Borowsky, JK Lee, B Parvin, ...
Cell reports 23 (4), 1205-1219, 2018
Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer
A Färkkilä, DC Gulhan, J Casado, CA Jacobson, H Nguyen, ...
Nature communications 11 (1), 1-13, 2020
Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer
R Rashid, G Gaglia, YA Chen, JR Lin, Z Du, Z Maliga, D Schapiro, C Yapp, ...
Scientific Data 6 (1), 1-10, 2019
Sporadic ERK pulses drive non-genetic resistance in drug-adapted BRAFV600E melanoma cells
L Gerosa, C Chidley, F Froehlich, G Sanchez, SK Lim, J Muhlich, JY Chen, ...
bioRxiv, 762294, 2019
Explainable multi-view framework for dissecting inter-cellular signaling from highly multiplexed spatial data
J Tanevski, ROR Flores, A Gabor, D Schapiro, J Saez-Rodriguez
BioRxiv, 2020
The landscape of S100B+ and HLA-DR+ dendritic cell subsets in tonsils at the single cell level via high-parameter mapping
MM Bolognesi, FM Bosisio, M Manzoni, D Schapiro, R Tagliabue, ...
bioRxiv, 369983, 2018
Laser Ablation ICP-MS for Single-Cell-based Tissue Imaging
G Schwarz, HAO Wang, C Giessen, D Schapiro, B Hattendorf, ...
CHIMIA International Journal for Chemistry 69 (10), 637-637, 2015
Single-nucleus RNA-seq of frozen archival primary pancreatic ductal adenocarcinoma uncovers multi-compartment intratumoral heterogeneity associated with neoadjuvant treatment.
WL Hwang, K Jagadeesh, J Guo, HI Hoffman, O Ashenberg, ...
Journal of Clinical Oncology 38 (15_suppl), 4633-4633, 2020
Author Correction: Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer
A Färkkilä, DC Gulhan, J Casado, CA Jacobson, H Nguyen, ...
Nature Communications 11 (1), 1-1, 2020
Single-nucleus and spatial transcriptomics of archival pancreatic cancer reveals multi-compartment reprogramming after neoadjuvant treatment
WL Hwang, KA Jagadeesh, JA Guo, HI Hoffman, P Yadollahpour, ...
bioRxiv, 2020
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
SA Magid, WD Jang, D Schapiro, D Wei, J Tompkin, PK Sorger, H Pfister
bioRxiv, 2020
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