Luciano Martelotto

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2026 HCA Asia Meeting in the land of Oz! 🫶🫶🫶

events.humancellatlas.org/2026asia/Home

Enjoyed writing this Preview with Jonas Gudera on GoT-Multi 🪄
A powerful #singlecell approach from the teams of Anna Nam and @lgmartelotto.bsky.social

Preview: www.cell.com/cell-genomic...

Paper: www.cell.com/cell-genomic...

New revolutionary hack about to change our molecular tool-box!

Thanks @ioavlachos.bsky.social for sharing this!

Rapid evolution of a highly efficient RNA polymerase by homologous recombination

www.nature.com/articles/s41...

Evaluating the practical aspects and performance of commercial single-cell RNA sequencing technologies Abstract. The rapid development of updated and new commercially available single-cell transcriptomics platforms provides users with a range of experimental

academic.oup.com/nargab/artic...

Multimodal AI generates virtual population for tumor microenvironment modeling GigaTIME leverages multimodal AI to generate virtual multiplex immunofluorescence (mIF) profiles from standard H&E slides, enabling comprehensive tumor immune microenvironment modeling across a large ...

www.cell.com/cell/fulltex...

Join us to the last #GESTALT seminar the year!

Free for all GESTALT member. If you are interested in anything #spatialbiology come be part of our growing community

GESTALT Seminar Series globalspatial.org/seminar-seri...

December 19 10am EST @ioavlachos.bsky.social @lgmartelotto.bsky.social

Thanks @natbiotech.nature.com for the shoutout and supporting our work at attempting QC in this emerging field of #spatial #transcriptomics @lgmartelotto.bsky.social @christophermason.bsky.social

Goliath effort to help with standards in spatial trancriptomics-can only be more amazing when done with @lgmartelotto.bsky.social @christophermason.bsky.social 🚀

Paper: nature.com/articles/s4158…
Touchstone portal: spatialtouchstone.org
Spatial touchstone protocols: protocols.io/view/spatial-t���

Standardized metrics for assessment and reproducibility of imaging-based spatial transcriptomics datasets - Nature Biotechnology A multi-institute, multi-platform initiative generates standard metrics and best practices for spatial transcriptomics analysis.

Standardized metrics for assessment and reproducibility of imaging-based spatial transcriptomics datasets - @jasmineplummer.bsky.social @lgmartelotto.bsky.social go.nature.com/4rBC1Z0

Standardized metrics for assessment and reproducibility of imaging-based spatial transcriptomics datasets - Nature Biotechnology A multi-institute, multi-platform initiative generates standard metrics and best practices for spatial transcriptomics analysis.

www.nature.com/articles/s41...

Single‐Cell Profiling: Any Scale, Any Size, All at Once Traditional single-cell technologies are constrained by cellular dimension and throughput scale, in addition to its inability preserve spatial information. With recent innovations, these technologies...

advanced.onlinelibrary.wiley.com/doi/10.1002/...

www.nature.com/articles/s41...

Calling all #singlecell #spatial officianados. Join GESTALT team in our workshop at NextGenOmics Spatial & Data 2025

Naveed Ishaque
Musa Mhlanga
Silas Maniatis
Ahmet Coskun

Free registration for GESTALT members Nov 13-14 in London UK!

@jasmineplummer.bsky.social @ioavlachos.bsky.social

Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE - Nature Methods iSCALE leverages histology and spatial transcriptomics to infer gene expression at super resolution in large tissues.

iSCALE

www.nature.com/articles/s41...

Coalescing single-cell genomes and transcriptomes to decode breast cancer progression wellDR-seq allows single-cell whole-genome and transcriptome co-profiling at scale, enabling dissections of complex relationships between copy-number alterations and gene expression that inform our un...

Must read from Nick Navin’s lab!

www.cell.com/cell/abstrac...

anndataR improves interoperability between R and Python in single-cell transcriptomics Many single-cell transcriptomics datasets are stored in the HDF5-backed AnnData (H5AD) file format, as popularised by the Python scverse ecosystem. However, accessing these datasets from R, allowing u...

www.biorxiv.org/content/10.1...

Imaging-based multimodal profiling of single cells with STAMP Nature Reviews Genetics, Published online: 21 August 2025; doi:10.1038/s41576-025-00891-6In this Tools of the Trade article, Kellie Wise and Anna Pascual-Reguant introduce STAMP (single-cell transcriptomics analysis and multimodal profiling), which harnesses imaging to measure RNA and/or protein expression in fixed cells or nuclei.

New online! Imaging-based multimodal profiling of single cells with STAMP

Imaging-based multimodal profiling of single cells with STAMP - Nature Reviews Genetics In this Tools of the Trade article, Kellie Wise and Anna Pascual-Reguant introduce STAMP (single-cell transcriptomics analysis and multimodal profiling), which harnesses imaging to measure RNA and/or ...

Very proud of these two!

Anna Pascual Reguant | Kellie Wise

A beautiful collaboration with Jasmine Plummer & Holger Heyn

CNAG | St Jude Children’s Research Hospital

#STAMP

Imaging-based multimodal profiling of single cells with STAMP | Nature Reviews Genetics

www.nature.com/articles/s41...

Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types Cutaneous squamous cell carcinoma (cSCC), basal cell carcinoma (BCC), and melanoma, the three major types of skin cancer, account for over 70% of all cancer cases. Despite their prevalence, the skin c...

www.biorxiv.org/content/10.1...

Counting my lucky stars⭐️that not only do I get to work with these amazing scientists Jiwoon Park @christophermason.bsky.social but also give fun @cshlnews.bsky.social lectures together💪.Big thank you to @lgmartelotto.bsky.social Nicholas Navin Julea Vlassakis for uniting this #singlecell #dreamteam

STAMP brings us non-destructive single-cell profiling without the sequencing No sequencer needed: Imaging based single-cell multiomics

STAMP brings us non-destructive single-cell profiling without the sequencing

www.omic.ly/stamp-brings...

Tracing colorectal malignancy transformation from cell to tissue scale The transformation of normal intestinal epithelium into colorectal cancer (CRC) involves coordinated changes across molecular, cellular, and architectural scales; yet, how these layers integrate remai...

Tracing colorectal malignancy transformation from cell to tissue scale

www.biorxiv.org/content/10.1...

Congrats @hoheyn.bsky.social , @lgmartelotto.bsky.social and team!

Don’t forget to register to the seminar on June 27 and July 25:

GESTALT - Seminar Series

June 27 - 2025: Dr. Fei Chen
July 25 - 2025: Dr. Hanchen Wang

Please visit the Seminar Series Webpage for more information and registration: globalspatial.org/seminar-seri...

www.biorxiv.org/content/10.1...

Conceptualised by
@hoheyn.bsky.social @jasmineplummer.bsky.social @lgmartelotto.bsky.social

Brought to life by Emanuele Pitino, Felipe Segato Dezem, Kellie Wise, Irepan Salvador Martinez, @helucro.bsky.social, Max Ruiz, Juan Nieto Sachica, Ginevra Caratu and more! 🎇🙏🏽👏🏽

Team Seeks Adoption of Sequencing-Free, Imaging-Based Single-Cell Profiling Method Developed by researchers in the US, Spain, and Australia, STAMP promises to reduce single-cell experiment costs almost 50-fold by eliminating the need for sequencing.

www.genomeweb.com/sequencing/t...

👩‍🔬The lead authors of the study are Dr. @pascual-reguant.bsky.social & Emanuele Pitino (CNAG) with Felipe Segato Dezem (@stjuderesearch.bsky.social)

Corresponding authors: Dr. @hoheyn.bsky.social (CNAG), Dr. @jasmineplummer.bsky.social (St. Jude) & Dr. @lgmartelotto.bsky.social (Univ. of Adelaide)

STAMP: Single-cell transcriptomics analysis and multimodal profiling through imaging @cellcellpress.bsky.social @lgmartelotto.bsky.social @hoheyn.bsky.social
www.cell.com/cell/fulltex...

“STAMP allows us to profile a million cells simultaneously, compared to tens of thousands typical of current methods, making it far more scalable,” said @jasmineplummer.bsky.social, PhD, St. Jude Center for Spatial Omics director.