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Julius Enssle

@jenssle

Physician Scientist | NCI/NIH Bethesda and Frankfurt Cancer Institute | focus on computational hematology, lymphoid malignancies, translational multiomics | views are my own

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17.12.2023
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Latest posts by Julius Enssle @jenssle

Please wait whilst we redirect you All content on this site: Copyright Β© 2026 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

Find the full paper here: authors.elsevier.com/c/1mS0e5TA51...

17.01.2026 03:04 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

πŸ‘ Big thank you to all co-authors (especially co-first authors Boya Wang and George Wright), reviewers/editors, colleagues, and institutions involved, especially at the NCI. Additional thanks to funding support from @dfg.de, Deutsche Krebshilfe and SFB 1530!

17.01.2026 03:03 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

πŸš€ There is more to come building on these exciting findings and this data-rich resource.

17.01.2026 03:00 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

-Expanding the epigenetic analysis and modeling GRNs present in normal and malignant B cells highlighted that transcriptional states of DLBCL genetic subtypes vary along three principal differentation. axes – GC B cell, memory B cell, and PC.

17.01.2026 02:59 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

-Investigating the functional consequences of genetic alterations among the gen. subtypes revealed REL amp as a mechanism to block terminal memory B-cell diff.

-By integrating single-cell RNA and ATAC from tonsillar B cells, we learned gene-regulatory networks (GRN) defining normal B-cell states.

17.01.2026 02:58 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

-Inference of DNA CNV revealed that each DLBCL tumor comprised up to 5 distinct malignant subclones.

-Analyzing the gene expression profiles of these subclones resulted in signature themes describing B-cell diff., cell proliferation, and cell growth that are distinctive across the subclones.

17.01.2026 02:55 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

-DLBCL genetic subtypes differ strikingly regarding their tumor microenvironment.

-Gene expression in malignant B cells yielded predicted signatures for each DLBCL genetic subtype and highlighted their phenotypic diversity.

17.01.2026 02:54 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

The genetic and gene expression subtypes of DLBCL have been defined using bulk tumor profiling. To study their biology in depth, we performed single-cell RNA and ATAC sequencing on 103 tumor biopsies. This revealed multiple fascinating findings:

17.01.2026 02:53 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

First post here, but very happy to share our most recent findings from studying DLBCL at single-cell granularity (www.cell.com/cancer-cell/.... This was a great collaborative effort, and I am honored to have contributed as co-first author. Here's a short recap of the highlights. πŸ§΅πŸ‘‡

17.01.2026 02:52 πŸ‘ 2 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0

This is amazing work! congratsπŸŽ‰

28.02.2025 21:59 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

This is such a cool work! Congrats πŸŽ‰

22.11.2024 19:36 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0