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Open Access Publications from the University of California

Open Access Policy Deposits

This series is automatically populated with publications deposited by UCLA David Geffen School of Medicine Department of Biological Chemistry researchers in accordance with the University of California’s open access policies. For more information see Open Access Policy Deposits and the UC Publication Management System.

Cover page of CIPHER: An end-to-end framework for designing optimized aggregated spatial transcriptomics experiments.

CIPHER: An end-to-end framework for designing optimized aggregated spatial transcriptomics experiments.

(2026)

Motivation

Most imaging-based spatial transcriptomics methods measure individual genes, which limits scalability and typically requires integration with scRNA-seq to recover full cellular states. Recent approaches such as CISI, FISHnCHIPs, and ATLAS address this limitation by measuring aggregate transcriptional signatures, where multiple genes are pooled into each channel to increase throughput. While aggregate measurements improve scalability, they shift the problem from gene selection to feature design. For effective integration with scRNA-seq, these signatures must be not only discriminative in transcriptional space but also straightforward to measure, with balanced signal, sufficient dynamic range, and robustness to experimental noise. By optimizing decoding accuracy in isolation, existing methods leave substantial performance on the table.

Results

We present CIPHER (Cell Identity Projection using Hybridization Encoding Rules), a neural-network framework that jointly optimizes the experimental encoding matrix, i.e., the way that genes are aggregated to signatures, and the downstream cell embedding. CIPHER integrates the physical limits of imaging assays directly into its loss function, shaping the latent space to maximize discriminability while maintaining robustness to measurement noise and signal constraints. Using a large-scale mouse brain scRNA-seq reference, we show that CIPHER-designed encodings yield latent spaces with improved cell-type separability, uniform signal utilization, and greater resilience to hybridization variability, resulting in higher decoding accuracy from both simulated and experimental data.

Conclusion

CIPHER formulates aggregate signature design as a joint optimization problem over decoding accuracy and experimental measurability. This enables systematic, scRNA-seq-aligned feature design for scalable spatial transcriptomics based on aggregate measurements.

Availability

Code and documentation are available at https://github.com/wollmanlab/Design/.

Cover page of Dual Knockout Models of the Spatially and Functionally Conserved rgra and rgrb Zebrafish Genes Reveal the Requirement of RGR for the Integrity of Cone‐Mediated Photopic Vision, the Photopic Visual Cycle and Bruch's Membrane Morphology

Dual Knockout Models of the Spatially and Functionally Conserved rgra and rgrb Zebrafish Genes Reveal the Requirement of RGR for the Integrity of Cone‐Mediated Photopic Vision, the Photopic Visual Cycle and Bruch's Membrane Morphology

(2026)

The retinal G protein-coupled receptor (RGR) is a visual cycle photoisomerase that photopically regenerates 11-cis-retinal (11cRAL). It plays a crucial role in sustaining vision. Here, we investigated the in vivo role of RGR in the cone photoreceptor-dominant, zebrafish retina, focusing predominantly on how visual function is impacted in the absence of RGR. There are two zebrafish RGR paralogs, rgra and rgrb, both with predominant expression in retinal pigment epithelium (RPE) and Müller glia cells. Under standard light rearing conditions, bespoke rgrb-/-; rgra-/- double knockout zebrafish present with a ~21% reduction in optokinetic response (OKR) saccades per minute relative to wild-type (WT). This impaired visual behavior worsens in higher photopic conditions ranging from 20 000-81 000 lx. In contrast, no significant OKR defect is observed under dark-adapted conditions, consolidating the light-dependent role of RGR in vision. Retinoid profiling of rgrb-/-; rgra-/- zebrafish larvae demonstrated significant decreases in 11cRAL levels under standard and brighter light rearing conditions. Proteomic profiling validated the successful generation of rgrb-/-; rgra-/- zebrafish and revealed an unanticipated upregulation in ocular extracellular matrix proteins. From polarized light microscopy, increased collagen fiber abundance with dysregulated organization in Bruch's membrane at the interface between the retina and choroid was observed. These novel findings demonstrate the role of RGR in sustaining visual function under cone-mediated photopic conditions, a concomitant deficit in the photopic visual cycle and a novel role in maintaining the integrity of Bruch's membrane.

Cover page of Drp1 regulates mitochondrial health and controls skeletal muscle mass through the Erk1/2-Nur77 pathway

Drp1 regulates mitochondrial health and controls skeletal muscle mass through the Erk1/2-Nur77 pathway

(2026)

The maintenance of skeletal muscle mass relies on mitochondrial quality control, including balanced dynamics and mitophagy. Dynamin-related protein 1 (Drp1), a central mediator of mitochondrial fission, is essential for these processes, yet its role in muscle mass regulation remains incompletely defined. Here, we show that acute Drp1 deletion in the skeletal muscle increases Parkin-mediated mitochondrial degradation, reduces mitochondrial DNA (mtDNA) content, and leads to severe muscle atrophy. Although dual deletion of Drp1 and Parkin restores mtDNA content, muscle loss persists. Mechanistically, Drp1 loss impairs mitochondrial respiratory chain activity, suppressing extracellular signal-regulated kinase 1/2 (Erk1/2) signaling and down-regulating the nuclear receptor subfamily 4 group A member 1 (Nur77). Pharmacologic β2-adrenergic receptor activation with clenbuterol reactivated Erk1/2, restored Nur77 expression, and rescued muscle atrophy. These findings define a Drp1-Erk1/2-Nur77 signaling axis linking mitochondrial integrity to skeletal muscle mass and identify a potential therapeutic target for muscle degeneration in mitochondrial and metabolic diseases.

Cover page of p21+TREM2+ senescent macrophages fuel inflammaging and metabolic dysfunction-associated steatotic liver disease

p21+TREM2+ senescent macrophages fuel inflammaging and metabolic dysfunction-associated steatotic liver disease

(2026)

Cellular senescence drives chronic sterile inflammation during aging via the senescence-associated secretory phenotype, yet the senescent cell types responsible are poorly defined. Macrophages share multiple features of senescence, including inflammatory secretion, yet whether macrophages can adopt a senescent state remains unclear. Here we identify p21⁺Trem2⁺ senescent macrophages as a major source of inflammaging, using primary mouse and human macrophage models of DNA damage and cholesterol-induced senescence characterized by multi-omic profiling. We found that senescent macrophages exhibit a distinctive p21-TREM2 expression profile and senescence-associated secretory phenotype, driven in part by type I interferon signaling via cytosolic mitochondrial DNA. We also found that senescent macrophage accumulation occurs in aging, metabolic dysfunction-associated steatotic liver disease mouse livers, and is enriched in human cirrhotic liver tissue. Finally, senolytic treatment targeting senescent macrophages reduced liver inflammation and steatosis in both aged mice and mice with metabolic dysfunction-associated steatotic liver disease. These findings establish macrophage senescence as a central driver of chronic inflammation in aging and metabolic liver disease, and a tractable therapeutic target.

Cover page of The persistence of potential: The life of Sir John B. Gurdon.

The persistence of potential: The life of Sir John B. Gurdon.

(2026)

The death of Sir John Bertrand Gurdon in October 2025 marks the passing of one of the most influential biologists of the modern era. A developmental biologist, Sir Gurdon's best-known experiments were performed with frog eggs and nuclear transfer, leading to discoveries that transformed our understanding of how genes control animal development and established the principles that underpin animal cloning, nuclear reprogramming, and regenerative medicine. These classical experiments paved the way for advances in induced pluripotent stem cells and energized thinking of new ways to treat diseases with cellular therapies. Sir John Gurdon's legacy endures through his transformative discoveries, institutional leadership, and the scientists he inspired.

CRISPR screens in iPSC-derived neurons reveal principles of tau proteostasis

(2026)

Aggregation of the protein tau defines tauopathies, the most common age-related neurodegenerative diseases, which include Alzheimer's disease and frontotemporal dementia. Specific neuronal subtypes are selectively vulnerable to tau aggregation, dysfunction, and death. However, molecular mechanisms underlying cell-type-selective vulnerability are unknown. To systematically uncover the cellular factors controlling the accumulation of tau aggregates in human neurons, we conducted a genome-wide CRISPRi screen in induced pluripotent stem cell (iPSC)-derived neurons. The screen uncovered both known and unexpected pathways, including UFMylation and GPI anchor biosynthesis, which control tau oligomer levels. We discovered that the E3 ubiquitin ligase CRL5SOCS4 controls tau levels in human neurons, ubiquitinates tau, and is correlated with resilience to tauopathies in human disease. Disruption of mitochondrial function promotes proteasomal misprocessing of tau, generating disease-relevant tau proteolytic fragments and changing tau aggregation in vitro. These results systematically reveal principles of tau proteostasis in human neurons and suggest potential therapeutic targets for tauopathies.

Cover page of Head organizer: Cerberus and IGF cooperate in brain induction in Xenopus embryos

Head organizer: Cerberus and IGF cooperate in brain induction in Xenopus embryos

(2025)

Neural induction by cell-cell signaling was discovered a century ago by the organizer transplantations of Spemann and Mangold in amphibians. Spemann later found that early dorsal blastopore lips induced heads and late organizers trunk-tail structures. Identifying region-specific organizer signals has been a driving force in the progress of animal biology. Head induction in the absence of trunk is designated archencephalic differentiation. Two specific head inducers, Cerberus and Insulin-like growth factors (IGFs), that induce archencephalic brain but not trunk-tail structures have been described previously. However, whether these two signals interact with each other had not been studied to date and was the purpose of the present investigation. It was found that Cerberus, a multivalent growth factor antagonist that inhibits Nodal, BMP and Wnt signals, strongly cooperated with IGF2, a growth factor that provides a positive signal through tyrosine kinase IGF receptors that activate MAPK and other pathways. The ectopic archencephalic structures induced by the combination of Cerberus and IGF2 are of higher frequency and larger than either one alone. They contain brain, a cyclopic eye and multiple olfactory placodes, without trace of trunk structures such as notochord or somites. A dominant-negative secreted IGF receptor 1 blocked Cerberus activity, indicating that endogenous IGF signals are required for ectopic brain formation. In a sensitized embryonic system, in which embryos were depleted of β-catenin, IGF2 did not by itself induce neural tissue while in combination with Cerberus it greatly enhanced formation of circular brain structures expressing the anterior markers Otx2 and Rx2a, but not spinal cord or notochord markers. The main conclusion of this work is that IGF provides a positive signal initially uniformly expressed throughout the embryo that potentiates the effect of an organizer-specific negative signal mediated by Cerberus. The results are discussed in the context of the history of neural induction.

Cover page of Defining STING–sterol interactions with chemoproteomics

Defining STING–sterol interactions with chemoproteomics

(2025)

Stimulator of interferon genes (STING) is an intracellular pattern recognition receptor that plays a key role in responding to cytosolic DNA and cyclic dinucleotides. STING activity is tightly regulated to avoid aberrant STING activity, excessive type I IFN responses, and resultant autoinflammatory disease. As such understanding the molecular events regulating STING activity is critical. Recent work has revealed cellular cholesterol metabolism also functions to modulate STING activity, although the molecular events linking cholesterol homeostasis with STING remain incompletely understood. Here we pair genetic and chemoproteomic approaches to inform the mechanisms governing cholesterol modulation of STING activity. Using gain- and loss-of-function systems, we find that markedly increasing SCAP-SREBP2 processing and resultant cholesterol synthesis has little impact on STING activity. In contrast, we find that genetic deletion of Srebf2 increased basal and ligand inducible type I IFN responses. Thus, STING can function in the absence of the SCAP-SREBP2 protein apparatus. Through activity-based protein profiling with three distinct sterol-mimetic probes, we provide direct evidence for STING-sterol binding. We also find that the mitochondrial protein VDAC1 co-purifies with STING and binds to sterol-mimetic probes. We also show that STING's subcellular localization is responsive to modulation of cellular sterol content. Our findings support a model where sterol synthesis in the ER regulates STING activity, aligning with recent studies indicating that cholesterol-mediated retention of STING in the endoplasmic reticulum occurs through cholesterol recognition amino acid consensus (CARC) motifs in STING.

Cover page of The 2024 challenges in structural biology summit

The 2024 challenges in structural biology summit

(2025)

In October 2024, the Challenges in Structural Biology Summit was held at the UCLA Lake Arrowhead Lodge. The meeting focused on new advancements and methods developments in structural biology. Here, we briefly summarize the 2024 Challenges in Structural Biology Summit.

Cover page of SE(3)-equivariant ternary complex prediction towards target protein degradation

SE(3)-equivariant ternary complex prediction towards target protein degradation

(2025)

Targeted protein degradation (TPD) has rapidly emerged as a powerful modality for drugging previously “undruggable” proteins. TPD employs small molecules like PROTACs and molecular glue degraders (MGD) to induce target protein degradation via the formation of a ternary complex with an E3 ligase. However, the rational design of these degraders is severely hindered by the difficulty of obtaining these ternary structures. Here we introduce DeepTernary, a novel end-to-end deep learning approach using an SE(3)-equivariant encoder and a query-based decoder to accurately and rapidly predict these critical structures. Trained on carefully curated TernaryDB, DeepTernary achieves state-of-the-art performance on PROTAC benchmarks without prior exposure to known PROTACs and shows notable prediction capability on the more challenging MGD benchmark with a blind docking protocol. Remarkably, the buried surface areas calculated from predicted structures correlate with experimental degradation potency metrics. Overall, DeepTernary offers a powerful tool for the development of targeted protein degraders.