The role of circular RNAs in gene regulation
After studying gene-regulatory networks across different molecular levels (genomics, epigenomics, transcriptomics), we took a deep dive into circular RNAs. An improved pipeline was developed for circRNA detection to investigate the regulation of circRNAs by changes in estrogen signaling in the mammary gland, including the use of anti-hormonals, and how circRNAs may be conserved across species.


Focus Group: Gene-regulatory Mechanisms
Prof. Priscilla A. Furth (Georgetown University, USA), Alumna Anna Boyksen Fellow (funded as part of the Excellence Strategy of the federal and state governments)
Host: Prof. Markus List (TUM)
Overall scientific concept and goals
In multicellular organisms, each differentiated cell type has its own shape and function, relying on various regulatory mechanisms. These include genomics (the DNA sequence itself), epigenomics (the structural changes in DNA that control its accessibility), and transcriptomics (the production of RNA from DNA). Disruptions in this regulatory landscape are responsible for physiological differences and disease. The primary objective of this Focus Group is to support clinical and biomedical researchers in analyzing their data more effectively and formulating additional research questions to understand how biological processes are regulated.

Summary of the work
The Focus Group covered several different relevant omics levels: (1) Genomics: With a new tool called NeEDL, we uncovered interactions between single-nucleotide genetic variations (SNPs) that could contribute to complex diseases. (2) Epigenomics: We created TF-Prioritizer, a tool that identifies transcription factors (TFs) controlling RNA production from DNA in specific biological conditions. (3) Transcriptomics: The group developed two tools, spongEffects and circRNA-sponging, to explore regulatory networks within the transcriptomics layer. 4) CircRNA detection: As part of an Anna-Boyksen Fellowship (Fellow Prof. Priscilla Furth), the Focus Group has sought to better understand how circRNA expression is regulated by estrogen. CircRNA transcripts have a unique circular shape, making them more resistant to degradation, and they hold promise as stable biomarkers.
The work builds on our published circRNA [1] detection pipeline that pioneered the integrative analysis of circRNA and microRNAs for their regulatory interactions. Here, the group then worked toward integrating our work into the nf-core project [2], where we developed a uniform pipeline, merging the best features of our pipeline and the previously published [3] one (Fig. 1). This refined pipeline formed the basis for benchmarking circRNA detection across tools and data sets, particularly where both polyA-enriched and total RNA-sequencing were performed. Since polyA enrichment should, in theory, deplete most if not all circRNAs, we considered a direct comparison of such data sets a unique opportunity to establish the robustness and false positive rate of circRNA detection tools.
We then turned to the specific application of understanding how estrogen signaling might alter expression patterns of circRNAs in the mammary gland, as this question had not yet been explored. The estrogen pathway is critical to both normal mammary gland development – including puberty, pregnancy, lactation and involution with menopause (reproductive senescence) – and the onset of breast cancer. Here, utilizing mammary gland-specific sequencing data derived from two unique genetically engineered mouse models (GEMMs) of estrogen pathway-induced breast cancer, we investigated the hypothesis that expression of specific circRNAs is regulated by the estrogen pathway. The GEMMs were part of a time-course experiment that followed normal and cancerous mammary gland development with age through natural reproductive senescence, when levels of ovarian estrogens fall, as well as before and after exposure to the clinically employed anti-estrogens tamoxifen and letrozole. Differentially expressed circular RNAs were identified in all three experimental settings: pharmacological down-regulation of the estrogen pathway using anti-estrogens, physiological down-regulation with reproductive senescence, and up-regulation of the pathway through ERalpha transgene over-expression (Fig. 2).
The Focus Group also addressed gender-related challenges in the daily lives of researchers. Prof. Furth and Prof. List co-organized the Life & Science Career Symposium with the Collaborative Research Center 1371 on 10/10/2024 in Freising, featuring a broad selection of speakers and role models, covering opportunities, challenges, and obstacles in their career paths. The event culminated in a lively exchange with the audience, mostly young researchers who were eager to talk about how family can be fostered during an academic career and also had questions on sometimes overlooked topics such as taking care of elderly family members.
Major findings and their significance

< of 0.05 (Benjamini-Hochberg correction) considered significant. (Trummer. Ibid.)
Our study observed vast differences between tools in circRNA discovery and revealed that a circRNA should only be considered robust if detected by several tools. The common practice of applying circRNA tools to polyA RNA-seq data was found to be not meaningful. Virtually none of the circRNAs detected in total RNA-seq data were rediscovered in polyA data. Sometimes, different tools found circRNAs with slight positional shifts that required harmonization. We found that the quality of polyA-enrichment or rRNA depletion led to a bias in the abundance of detected circRNA.
We were able to identify differentially regulated circRNAs reproducible across models with both tamoxifen, a selective estrogen receptor modulator (SERM), and letrozole, an aromatase inhibitor. A subset of the circRNAs up-regulated by exposure to anti-hormonals was reciprocally down-regulated by ERalpha over-expression. Additional circRNAs were reproducibly up-regulated by both letrozole exposure and reproductive senescence or reproducibly down-regulated by both tamoxifen or letrozole and reproductive senescence. Conservation of circRNAs across species was examined. Both previously known and previously uncharacterized circRNAs were identified. CircRNAs that exhibited up-regulated expression after anti-hormonal treatment could serve as biomarkers for monitoring anti-hormonal response during breast cancer treatment or prevention.
The networks built by this Focus Group and the TUM-IAS fostered a new international network between Georgetown University and TUM. The doctoral candidate Markus Hoffmann supported by this Focus Group is now an Assistant Professor at Georgetown, continuing his collaborations with Drs. Furth and List.

How final outcomes will be used
Findings are in preparation for publication. Spin-off research projects are in process.
Plans for future research
We plan to focus more on emerging long-read RNA-seq data sets, as these offer a huge potential for circRNA discovery. Acquisition of human data sets to explore the utility of using circRNAs as biomarkers for anti-hormonal response in breast cancer treatment and /or prevention is a goal.
In close collaboration with Prof. Markus Hoffmann (Georgetown University, USA) and Prof. Lothar Hennighausen (NIDDK, National Institute of Health, USA).
[1]
PA. Furth (2024).
[2]
M. Hoffmann, LL. Willruth, A. Dietrich, HK. Lee, L. Knabl, N. Trummer, J. Baumbach, PA. Furth, L. Hennighausen, M. List (2024).
[3]
HH. Kim, HK. Lee, L. Hennighausen, PA. Furth, H. Sung, JW. Huh (2024).
Selected publications
- P. A. Furth, "Mammary Gland-Endocrinology", in Encyclopedia of Reproduction, 3rd ed., M. K. Skinner, Ed. Academic Press, 2024. doi: 10.1016/B978-0-443-21477-6.00081-
- M. Hoffmann, L. L. Willruth, A. Dietrich, H. K. Lee, L. Knabl, N. Trummer, J. Baumbach, P. A. Furth, L. Hennighausen und M. List, “Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2,” Scientific Reports, Bd. 14, Nr. 1, 2024.
- H. H. Kim, H. K. Lee, L. Hennighausen, P. A. Furth, H. Sung und J. W. Huh, “Time-course analysis of antibody and cytokine response after the third SARS-CoV-2 vaccine dose,” Vaccine: X, Bd. 20, 2024, Art.-Nr. 100565.
- S. G. Lee, P. A. Furth, L. Hennighausen und H. K. Lee, “Variant- and vaccination-specific alternative splicing profiles in SARS-CoV-2 infections,” iScience, Bd. 27, Nr. 3, 2024, Art.-Nr. 109177.
- M. Hoffmann, L. Schwartz, O. A. Ciora, N. Trummer, L. L. Willruth, J. Jankowski, H. K. Lee,
J. Baumbach, P. A. Furth, L. Hennighausen und M. List, “circRNAsponging: a pipeline for extensive analysis of circRNA expression and their role in miRNA sponging,” Bioinformatics Advances, Bd. 3, Nr. 1, 2023.