Research Alliance

Home >> Publications >> Research Alliance
Feature image not available
22.06.2026

Distributed representations of chemosensory valence in a naive vertebrate brain

Authors Jenkins B, Frank T Journal BioRxiv Citation bioRxiv 2026.06.17.732810. Abstract Chemical cues guide essential behaviors by signaling food, danger, and social information. A major dimension of chemosensory processing is valence, which biases animals toward approach or avoidance, yet its brain-wide organization in vertebrates remains unclear. Here, we used larval
Learn More
Feature image not available
17.06.2026

Deep learning for interactive and automated inner retinal layer segmentation in OCT images of patients with retinitis pigmentosa using limited training data

Authors Laurence SD, Schilling M, Grimm NA, Mace E, Bemme S, Pape C Journal MedRxiv Citation medRxiv 2026.06.16.26355668. Abstract Purpose: New therapeutic strategies such as optogenetics have created a need for accurate tracking of inner retina degeneration in Retinitis pigmentosa (RP) patients. We introduce two tailored deep learning models to
Learn More
Feature image not available
17.06.2026

Targeting intracellular cholesterol imbalance rescues sarcomere-ER contact site signaling and ER remodeling in dilated cardiomyopathy

Authors Ignatyeva N, Cheruiyot C, Saleem HN, Wali R, Plota D, Zhang W, Schön S, Brandenburg S, Yang Z, Steyer A, Urlaub H, Rasmussen T, Mogensen J, Pronto JRD, Döring Y, Radke MH, Shcherbata H, Lehnart SE, Janshoff A, Sossalla S, Ruhwedel T, Moebius W, Toischer K, Brügger B, Haucke
Learn More
Feature image not available
15.06.2026

LRRK2/LRRK1 interactions modulate Rab7 activity and inhibit lysosomal exocytosis

Authors Merghani M, Gerhardt E, Hesse M, Fahlbusch C, Boecker CA, Outeiro TF Journal BioRxiv Citation bioRxiv 2026.06.12.731951. Abstract Mutations in the LRRK2 gene are the most common genetic cause of both familial and sporadic Parkinson’s disease (PD). LRRK2 belongs to the leucine-rich repeat kinase (LRRK) family. Two members of
Learn More
Feature image not available
10.06.2026

Toward Chromoselective Transformations in Biological Systems: Perspectives and Challenges

Authors Simeth NA Journal Angewandte Chemie (International ed. in Engl.) Citation Angew Chem Int Ed Engl. 2026 Jun 10:e26148. Abstract Addressing small-molecule chromophores with bioactive properties has been established as an effective means of controlling biological systems for several decades. However, the complexity of in vitro and especially in vivo
Learn More
Feature image not available
04.06.2026

Correlative X-ray imaging and fluorescence microscopy

Authors Sinha M, Yu B, Mendes da Silva R, Roelleke U, Luley P, Tiburcy M, Zimmermann WH, Burghammer M, Koester S Journal BioRxiv Citation bioRxiv 2026.06.04.730059 Abstract Imaging the structural organization inside cells in their native state is essential for understanding how the arrangement and interactions among molecular components give
Learn More
Feature image not available
28.05.2026

Stem-Cell-Derived Biologic Ventricular Assist Tissue in Heart Failure

Authors Zimmermann WH, Ensminger S, Kutschka I, Paitazoglou C, Seidler T, Brandenburg S, Anker SD, Bader N, Bergau L, Bremmer F, Diogo PG, Eitel I, Fujita B, Gerecke B, Hasenfuß G, Hellenkamp K, Hermann-Lingen C, Jebran AF, Jurczyk D, Knaus R, Legler T, Lotz J, Placzek M, Pühler T, Riggert
Learn More
Feature image not available
28.05.2026

Early Myelination Supports the Establishment of Consistent Handedness

Authors Moore S, Subramanian S, Meschkat M, Hemesath JW, Ruhwedel T, Möbius W, Nave KA, de Hoz L Journal Glia Citation Glia. 2026 Jul;74(7):e70161. Abstract Lateralization of brain functions, such as handedness, is thought to enhance cortical efficacy by reducing redundancy and speeding up decision-making. The corpus callosum (CC), one
Learn More
Feature image not available
27.05.2026

The PET tracer [11C]MODAG-005 targets alpha-synuclein aggregates in the brain

Authors Saw RS, Haas S, Schmidt F, Ryazanov S, Leonov A, Bleher D, Grotegerd AK, Kuebler L, Roeben B, Schmidt F, Reimold M, Bonanno F, Ruf VC, Dahl B, Sandiego CM, Henry KE, Papadopoulos I, Schaller M, Kahle PJ, Levin J, Gasser T, Brockmann K, Reischl G, la Fougère C,
Learn More
Feature image not available
22.05.2026

Learning Through Noise: Why Subliminal Learning Works and When It Fails

Authors Brockers VC, Ventzke RD, Neuhaus V, Hidalgo-Ogalde B, Priesemann V Journal Arxiv Citation arXiv:2605.23645 Abstract In the context of artificial neural networks, subliminal learning refers to the transfer of task-relevant knowledge or unintended biases from teacher to student models through distillation on task-unrelated input output pairs. Prior explanations tie
Learn More
X
EN DE
X
X