Biology subjects

Wang, E.

Publications and source records attributed to Wang, E..

At least 19 recordsLinked to original sources

bioRxiv2026

Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements

Structural heart diseases (SHDs) are characterized by progressive myocardial remodeling, yet the tissue-level mechanical properties underlying this process cannot be measured directly in vivo. This limitation restricts the ability of conventional physiological measurements to fully characterize myocardial remodeling and disease progression. Here, we present a physics-informed neural network (PINN) framework that integrates constitutive biomechanics with organ-level physiological measurements to simultaneously infer myocardial biomechanical descriptors and predict physically consistent stress responses. By embedding a hyperelastic constitutive model within the learning process, the framework links physiological measurements with tissue-level mechanics while preserving biomechanical consistency. Using right ventricular remodeling in pulmonary hypertension (PH) as a representative model of SHDs, the proposed framework accurately reproduced nonlinear stress-stretch behavior and outperformed conventional data-driven machine learning approaches for stress prediction. Furthermore, incorporation of PINN-derived tissue-level descriptors with organ-level physiological measurements improved disease stratification and enhanced separation between control, mild, and severe PH remodeling states. These findings support physics-informed constitutive learning as an interpretable framework for integrating organ-level physiology with tissue-level biomechanics and establish a foundation for future biomechanics-informed characterization of myocardial remodeling across SHDs.

bioengineering↗

bioRxiv2026

Low-Density Lipoprotein Cholesterol and Cerebral Pericyte Dysfunction in Acute Ischemic Stroke: Clinical and Experimental Evidence

Background: Low-density lipoprotein cholesterol (LDL-C) is an established risk factor for atherosclerotic cerebrovascular disease, but its effects on the cerebral microcirculation are poorly defined. We investigated whether LDL-C is associated with pericyte dysfunction in acute ischemic stroke (AIS) and explored underlying mechanisms. Methods: Serum soluble platelet-derived growth factor receptor-{beta} (sPDGFR{beta}) was measured in two independent AIS cohorts (n=97 and n=86). Cerebral pericyte transcriptional responses to LDL-C were analyzed by single-cell RNA sequencing in Apoe-knockout mice fed control or high-fat diet (n=4 [male/female: 2/2]/group), and cultured human brain pericytes were exposed to purified human LDL cholesterol with or without N-acetyl-L-cysteine. Results: Higher serum sPDGFR{beta} was associated with greater neurological deficit and circulating neurofilament light chain. LDL-C positively correlated with sPDGFR{beta} in both clinical cohorts. High-fat diet induced coordinated suppression of type-I interferon pathways, and a positive shift in reactive oxygen species-related transcriptional programs in mouse pericytes; exploratory sex-by-diet analyses suggested larger transcriptional responses in females. In cultured human pericytes, LDL-C induced oxidative-stress, lipid-handling, and ferroptosis-associated transcriptional programs while suppressing type-I interferon signaling. Cross-species enrichment analysis showed that LDL-C-induced and -repressed signatures in cultured pericytes aligned with the sex-by-diet interaction in Apoe-knockout mice. LDL-C also reduced cell-surface PDGFR{beta} and increased sPDGFR{beta} release in cultured pericytes, which were significantly attenuated by N-acetyl-L-cysteine, whereas LDH activity increased numerically but not significantly. Conclusions: Clinical and experimental findings support an LDL-pericyte axis linking atherogenic lipid stress to cerebral microvascular dysfunction, with possible sex-dependent modulation of oxidative stress and type-I interferon signaling as potential mechanisms.

neuroscience↗

bioRxiv2026

Sub-stoichiometric modifications of Aplysia californica tRNAs and tRNA fragments revealed by integrating intact and bottom-up mass spectrometry

Transfer RNA (tRNA) modifications regulate protein synthesis, yet their sequence positions and stoichiometries are known only for a subset of tRNAs in model organisms. Aplysia californica is a key neurobiological model in which neuronal modified ribonucleosides have been linked to changes in animal behavior. However, Aplysia tRNA modifications have not been mapped, obscuring their roles in modulating neuronal functions. To address this knowledge gap, we leveraged hybridization pulldowns and an integrated mass spectrometry (MS) strategy combining nucleoside profiling, intact tRNA measurements, and bottom-up tRNA modification mapping to determine the full sequences of Aplysia tRNAGluCUC and tRNALysUUU. Sub-stoichiometric modifications including dihydrouridine (D), 5-methylcytidine (m5C), 5,2'-O-dimethyluridine (m5Um) and 1-methyladenosine (m1A) on tRNAGluCUC varied across tissues, suggesting tRNA modifications are regulated to accommodate translational needs. In addition to conserved thio-modifications in the anticodon loop of tRNALysUUU, we report 2-thiocytidine (s2C) at position 32, representing the first detection of s2C in eukaryotes. We also developed a generalizable method to directly detect tRNA halves by intact LC-MS, revealing endogenous tRNA cleavage patterns. Our findings illustrate the advantages of combining intact and bottom-up MS, reveal s2C as an unexpected tRNA modification in a classical neurobiological model and offer new insights into post-transcriptional regulation of animal physiology.

biochemistry↗

bioRxiv2026

Arrayed hydrogels pair whole-cell imaging with single-cell mass spectrometry proteomics

Multimodal single-cell analysis aims to elucidate cellular-level phenotype within heterogeneous cell populations. Advancements in single-cell proteomics (SCP) seek to deepen quantitative depth, coverage, and reproducibility for a robust view of functional cell state. However, broadly accessible multimodal approaches are poised to benefit from sample-preparation advancements upstream of the mass spectrometer. Here, we introduce ProteoParcel, a multimodal SCP platform for indexing upstream widefield single-cell images to downstream label-free, bottom-up proteomics. Parcels are spatially arrayed planar polyacrylamide gels patterned with microwells. Each parcel, containing one microwell and an abutting gel region, is designed to integrate the single-cell imaging and SCP analysis modes. First, for whole-cell imaging, each microwell isolates an intact, individual breast cancer cell (MCF-7). After imaging, cells are subjected to in-microwell chemical cell lysis, electro-injection of whole-cell lysate from the microwell into the abutting gel region, in-gel chemical fixation, and finally in-gel tryptic digestion prior to peptide extraction for SCP. Location-indexed parcels are independently releasable to confer single-cell resolution to downstream mass spectrometry. To ensure SCP-suitable proteome solubilization and trypsin/Lys-C digestion, we optimize cell lysis, electrophoresis, and gel pre-equilibration conditions within the gel. Using ProteoParcel, we identify over 1,400 protein species from single, imaged MCF-7 cells. Scrutiny of the gel preparation conditions confirms that hydrogel-lysate interactions introduce predictable, physicochemically interpretable (cell membrane, hydrophobicity) detection biases, while broad functional-class composition and subcellular compartment coverage are preserved when benchmarked to in-solution digestion. ProteoParcel makes facile same-cell multimodal SCP and live-cell imaging.

bioengineering↗

bioRxiv2026

A Multi-Omics Study of Cognitive Resilience to Alzheimer's Disease

Alzheimers disease (AD) is the most severe form of dementia. While significant efforts have been made to identify AD risk factors and develop therapeutics, much less attention has been given to neurobiological factors and molecular signatures associated with cognitive resilience. Substantial evidence suggests that modifiable factors, such as physical and mental activity, may contribute to cognitive reserve and resilience. To this end, we developed a resilient cohort of paired genetics, transcriptomics and proteomics data from the prefrontal cortex of 282 cognitively normal older adults. We conducted extensive preprocessing and rigorous quality control (QC), including QC on sequence metrics and sample matching across multiomics. This cohort can be leveraged for identification of molecular signatures of cognitive resilience to AD and is freely shared with the research community.

genomics↗

bioRxiv2026

In Vivo Screening for a Promising Antiparasitic Agent Against Neobenedenia melleni in Epinephelus fuscoguttatusfemale x E. lanceolatusmale and Identification of Its Potential Target

Monogenean ectoparasites, particularly Neobenedenia species, cause severe economic losses in mariculture. Here, ectoparasites isolated from cultured hybrid groupers (Epinephelus fuscoguttatus[female] x E. lanceolatus[male]) were confirmed as Neobenedenia melleni based on ITS1 phylogeny. In vivo screening of six structurally diverse compounds identified compound D (CAS No. 206111-37-7), a 5,6-dihydropyridine derivative, as the most effective antiparasitic agent, achieving 76.54% efficacy at 0.5 mg/L in a 90 min bath treatment. Dose-response assays demonstrated that 0.7 mg/L compound D achieved 95.23% antiparasitic efficacy without causing evident tissue damage or cytotoxicity to GF-1 cells. Ultrastructural observation by scanning electron microscopy revealed marked tegumental alterations, including deep fissures and extensive surface folding, in treated parasites. Molecular docking against ten candidate proteins identified {beta}-tubulin as the most favorable docking target, with a binding energy of -6.53 kcal/mol and three hydrogen-bond interactions, suggesting that {beta}-tubulin may be involved in the antiparasitic activity of compound D. Overall, these findings highlight compound D as a promising lead candidate for short-bath therapy against N. melleni and suggest that cytoskeletal disruption through {beta}-tubulin interaction represents a plausible mechanism of action.

zoology↗

bioRxiv2026

Computer-aided drug screening of anti-Neobenedenia melleni drugs based on annexin B1 in farmed pearl grouper

Monogenean capsalids of the genus Neobenedenia are widespread parasites of wild and farmed marine fish, and represent a great threat to the mariculture of grouper in China. Fishery drug development to screen and find effective compounds to control and prevent the disease is urgent needed, considering the vast production of grouper in China (294 ktons in 2025). Annexins have been discovered in Neobenedenia and other parasites, and marked differences between the parasite annexins and those of the hosts make them potentially attractive drug targets for anti-parasite therapeutics. Herein, we utilized computer-based drug discovery screens using unique Neobenedenia melleni annexin B1 and a database of 1,456,161 small molecules. The 3D structure of annexin B1 was firstly modeled by three different protein prediction tools, namely AlphaFold 3, SWISS-MODEL, and I-TASSER, of which the most accurate protein structure was used as the drug target for the following structure-based virtual screening. In vivo experimental validation of 11 compounds after molecular docking shows that abamectin (Aba) has the most effective anti-Neobenedenia bioactivity at the concentration of 0.16 mg/L as the initial screening concentration. Given its low toxicity to host grouper (24 LC50=0.254 mg/L), abamectin was chose for further investigation. A 24 h bath exposure successfully lowered the parasitic load in infected grouper, yielding an 24 h EC50 of 0.033 mg. To elucidate the anti-parasite mechanism, long-timescale molecular dynamics simulations (1000 ns) of annexin B1 and Aba was conducted, which allowed for atomic and molecular-level analysis of the essential protein motions involved in the interaction of annexin B1 and its substrate. The interaction profile between annexin B1 and abamectin was dominated by hydrophobic contacts and water bridges, involving residues TYR-210, GLU-214, GLU-244, and SER-247, which path a way for further drug optimization.

zoology↗

bioRxiv2026

Medulloblastoma Forms Symbiotic Metabolic Partnerships with Macrophages to Establish Leptomeningeal Metastases

Leptomeningeal metastases are the primary source of morbidity and mortality for pediatric medulloblastoma patients. Due to limited surgical sampling of metastases in patients, little is understood of the mechanisms of metastasis. Here, we identify biologically distinct quiescent small metastases (designated as micrometastases) and mitotically active larger metastases (macrometastases). Macrometastases are more metabolically active than micrometastases and contain higher levels of lipids, particularly cholesterol. Macrometastases secrete CXCL12, which attracts lipid-laden macrophages into the tumor. Lipid-laden macrophages upregulate the cholesterol transporter ABCG1, promoting the efflux of free cholesterol, which is then taken up by tumor cells via the HDL receptor SCARB1. CXCL12-driven macrophage recruitment and exogenous cholesterol are sufficient and necessary to drive progression of medulloblastoma leptomeningeal metastases in vivo. High fat diets drive metastatic progression in vivo. Dietary or pharmacological interventions targeting the CXCL12-SCARB1-cholesterol axis represent therapeutic strategies to either prevent or treat medulloblastoma leptomeningeal metastases.

cancer biology↗

bioRxiv2026

An IL-34-IGF-1 inflammatory axis fuels KRAS-mutant lung cancer progression

Macrophages are innate immune cells of embryonic or adult origin with tissue specific roles in homeostasis, disease surveillance, and wound repair that can be co-opted to promote tumor growth and spread1-11. An understanding of the specific roles of macrophage subsets in lung tumor initiation and progression could promote new therapeutic approaches for this deadly disease. Here, we show that KRASG12D mutations in lung epithelium drive proliferation of resident, embryonically-derived alveolar macrophages, which then promote tumor cell proliferation and protection from ferroptosis, leading to tumor progression. Using genetically engineered mouse models of mutant KRASG12D non-small cell lung cancer12,13, we found that alveolar macrophages accumulate by proliferation in response to tumor cell-secreted IL-34, recapitulating events observed in late embryonic lung development. Tumor alveolar macrophages in turn drive IGF-1-dependent tumor cell proliferation. Neutralization or deletion of IL-34 suppresses IGF-1 expression, reduces macrophage and tumor cell proliferation and inhibits tumor progression. High IL34 and IGF1 correlate with poor survival in KRASG12D/V lung adenocarcinomas and in other solid tumors, indicating that bi-directional proliferative signaling between resident macrophages and tumor cells can drive human lung tumor progression. These studies identify resident macrophage-tumor cell interactions as key interception points for lung cancer therapy.

cancer biology↗

bioRxiv2026

Targeted epigenetic repression of oncogenic transcription factors via CRISPR/dCas9 locus-specific silencing

Despite the revolutionary impact of genome engineering tools in medicine, the safe and effective intracellular delivery of CRISPR remains a major obstacle for clinical applications. Here, we implement precision molecular medicine and delivery strategies based on CRISPR/dCas9 systems adapted for epigenetic repression (dCas9-KRAB) to silence oncogenic drivers with high genomic selectivity. As proof-of-principle, we target the EWSR1-FLI1 translocation, which encodes a chimeric and hard-to-drug oncogenic transcription factor driving approximately 85% of the cases of Ewing Sarcoma (EWS)-an aggressive malignancy affecting children and adolescents. We describe the development of a non-viral and programmable polymeric system for the delivery of dCas9-KRAB as ribonucleoprotein (RNP) payloads for selective EWSR1-FLI1 repression. We demonstrate highly efficient intracellular delivery of RNPs loaded in polyamide-amine (PAMAM) polymers functionalized by guanidino groups, resulting in robust silencing of EWSR1-FLI1 both in established cell line xenografts and in patient-derived xenografts (PDXs) of EWS. Moreover, silencing of EWSR1-FLI1 is accompanied by potent anti-tumor effects. To our knowledge, we describe the first non-viral platform for in vivo delivery of dCas9-KRAB/RNPs, which can be adapted for the repression of any oncogene. We further outline dCas9/RNP formulations for future therapeutic applications to treat poor-prognosis cancers driven by hard-to-drug oncogenes.

genomics↗

bioRxiv2026

Distinct Proteasomal Pathways Drive Oncogenic PPM1D Activation

PPM1D is a serine/threonine phosphatase and DNA damage response (DDR) regulator recurrently activated in cancer through amplification or C-terminal truncating mutations that increase its abundance. Here we show that truncating mutations fundamentally rewire PPM1D proteostasis, unmasking an oncogenic function of an alternative protein degradation pathway. While full-length PPM1D undergoes rapid ubiquitin-independent proteasomal degradation via a C-terminal degron, truncating mutations redirect degradation to a slower UBR5-mediated ubiquitin-dependent pathway. The resulting accumulation of PPM1D suppresses DDR signaling and enhances cellular fitness under genotoxic stress, which is further amplified by UBR5 loss. Consistent with selective pressure on this axis, cancers harboring PPM1D truncating mutations are enriched for UBR5 loss-of-function mutations. Together, these findings identify escape from ubiquitin-independent proteasomal degradation as a mechanism of oncogenic adaptation and establish proteostatic routing as a regulatory layer linking protein degradation, DDR signaling, and cancer evolution.

cell biology↗

bioRxiv2026

RNA-binding proteins activate transcription through defined molecular grammars

Transcription factors (TFs) regulate gene expression through interactions with DNA, RNA, and proteins. RNA-binding proteins (RBPs) also assemble near regulatory elements and mediate RNA processing, yet their perturbation causes transcriptional defects. Here, we find select RBPs activate transcription through latent activation domains akin to TFs. RBP activators regulate distinct genes and interact with transcriptional condensates. Their activation domains are enriched in aromatic and polar residues but depleted of basic residues - essential features that are conserved and partially mimic TF activation domains. We validated additional RBP activators across the human proteome based on this molecular grammar, including the C-terminal domain (CTD) of RPB1, the catalytic subunit of RNA polymerase II. RPB1-CTD activates transcription by recruiting coactivators, demonstrating a non-enzymatic function in transcriptional regulation. These findings position RBPs and RPB1 as transcriptional regulators, explain coupling between transcription and RNA processing, and reveal RNA-RBP regulatory networks that parallel DNA-TF networks.

molecular biology↗

bioRxiv2026

Cell enlargement drives aging-associated proteome remodeling and shortens replicative lifespan

The molecular and cellular basis of aging and its associated functional decline remains poorly understood. Even free-living microorganisms age and, in yeast, replicative aging shares key hallmarks with human cellular senescence, including progressive cell enlargement. Recent work has shown that chemical and genetic manipulations that increase cell size promote the onset of senescence in both yeast and human cells, suggesting that cell enlargement can drive some of the physiological changes associated with aging. Here, we quantitatively determined how cell enlargement contributes to age-associated physiology in yeast by combining automated aging technologies with quantitative proteomics. We find that the majority of aging-associated proteome remodeling can be recapitulated by genetically enlarging young proliferating cells. These enlarged cells exhibit accelerated proteome aging and shortened replicative lifespans, while smaller cells are longer-lived. While cell enlargement is the predominant factor driving proteome remodeling during aging, we also identified a minority of aging-specific molecular markers whose expression influences lifespan. Together, our results demonstrate that cell enlargement is a major driver of aging-associated proteome remodeling and influences lifespan independently of established aging factors such as extrachromosomal rDNA circles.

cell biology↗

bioRxiv2025

Argon inhibits autophagy and improves cerebral ischemia-reperfusion injury via PI3K/Akt/mTOR pathway

It has been reported that argon has neuroprotective effects during cerebral ischemia-reperfusion injury (CIRI). However, the specific mechanism is not fully understood. The aim of this study is to investigate if argon could regulate autophagy to exert a neuroprotective function. A temporary middle cerebral artery ischemia mouse model (tMCAO, ischemia 3h, reperfusion 1h) and the HT22 cell line Oxygen glucose deprivation reperfusion (OGDR) model were used for argon treatment. Transcriptome sequencing and bioinformatics analysis were performed on HT22 OGDR models. Western blot, CCK-8, LDH, transmission electron microscopy, agonists and inhibitors of autophagy and PI3K/Akt/mTOR were used to investigate the specific mechanism. Argon could reduce infarct volume, improve weight recovery, and neurological scores. Enrichment analysis of the KEGG signaling pathway was highly correlated with the PI3K/Akt pathway. Western blot, CCK-8, LDH, and transmission electron microscopy showed that argon could activate the PI3K/Akt/mTOR pathway and inhibit autophagy, promoting a neuroprotective function. After the combined use of autophagy inducer 3, Akt inhibitor MK2206, and mTOR inhibitor rapamycin, respectively, the neuroprotective function of argon was significantly reversed. Our study suggests that argon activating the PI3K/Akt/mTOR pathway and inhibiting autophagy is an important mechanism for its neuroprotective function.

neuroscience↗

bioRxiv2025

The alternated brain states in resting state after immoral decisions

Studies have shown that the pattern of the brain in tasks can be effectively predicted from resting brain features. However, few studies explore how task could, in turn, influence resting state connectivity. This work attempts to understand this through the lens of immoral decisions. Using resting-state and task-state fMRI data collected before, during, and after an information-passing task involving dishonest choices with rewards, we employed the Hidden Markov Model (HMM) to capture the changes in the brain dynamics state. First, the HMM results identified 4 intrinsic brain states across both resting scans and task scans, including one reward network (state 1) and one control network (state 3). The reward network are associated with high dishonesty, while the control network are associated with low dishonesty. Importantly, task engagement in immoral behavior altered the post-task brain state. As participants engaged in persistent dishonesty, the network reconfigures itself to priorities the reward network and suppress the control network. Such suppression persists beyond the immediate task timeframe and leaves lingering signatures in the post-task resting scan. Contrary to the view of resting-state as a static baseline, our analysis showed the "non-resting" nature of post-task resting scans, where dishonesty could have an "after-effect" on neural dynamics. Together, these findings suggest that the post-moral decision brain operates not as a static system but as a set of dynamically shifting states, whose adaptive trajectories may underlie the lasting effect of decision behavior in the prior task.

neuroscience↗

bioRxiv2025

Hippocampal transformations occur along dimensions of memory interference

The role of the hippocampus in resolving memory interference has been greatly elucidated by considering the relationship between the similarity of visual stimuli (input) and corresponding similarity of hippocampal activity patterns (output). However, these input-output functions can take surprisingly different forms. Here, we reconcile seemingly conflicting findings by considering the possibility that the hippocampus prioritizes different dimensions of visual similarity across different stages of learning. First, we generated a set of natural scene images from two visual categories and rigorously characterized visual similarity using a wide array of methods: neural networks, artificial intelligence models, and human perceptual and memory decisions. We then identified two orthogonal dimensions of visual similarity that each predicted memory interference, but that did so at distinct stages of learning. Using high-resolution fMRI, we then tested for dimension-specific input-output functions within the hippocampus. Within CA3 and dentate gyrus (CA3/DG), we show that dimensions of visual similarity were inverted (repulsion) at stages of learning when they contributed to memory interference. In contrast, CA3/DG preserved similarity when dimensions did not contribute to interference. These findings reveal that hippocampal representations of visually-similar stimuli are highly dynamic and critically depend on the dimensions of similarity that currently contribute to memory interference.

neuroscience↗

bioRxiv2025

JMJD1B-mediated FEN1 demethylation allows timely switching of Okazaki fragment maturation core enzymes to avoid mutagenic flap ligation by PARP1-LIG3

Efficient and faithful Okazaki fragment maturation (OFM) depends on the PCNA-coordinated actions of core enzymes Pol{delta}, FEN1, and LIG1. We demonstrate that Pol{delta}, FEN1, and LIG1 sequentially but not simultaneously bind to PCNA in mammalian cells. The association of FEN1 with PCNA, which lies at the center of this orderly program, is mediated by FEN1 R192 methylation, which is also crucial for preventing premature loading of LIG1. Conversely, FEN1 demethylation by the recently identified arginine demethylase JMJD1B promotes FEN1 dissociation from PCNA and LIG1 recruitment. Disruption of the sequential PCNA binding program in R192Q or Jmjd1b-/- cells results in unprocessed 5 flaps that prevent OFM and induction of PARP1-dependent recruitment of LIG3, which has flap ligation activity to join incompletely processed OFs. This alternative OFM process supports cell survival but causes duplications and other DNA mutations. Our findings define fundamental and alternative DNA replication processes underlying mutagenesis and cell survival. HighlightsO_LIThe core enzymes involved in Okazaki fragment maturation (OFM), DNA polymerase {delta} (Pol{delta}), flap endonuclease 1 (FEN1), and ligase 1 (LIG1), sequentially bind to the scaffold protein PCNA for their concerted actions C_LIO_LIFEN1 R192 methylation enables FEN1 binding to PCNA; JMJD1B-mediated FEN1 arginine demethylation provokes FEN1 exit from PCNA and LIG1 recruitment C_LIO_LIFEN1 R192Q mutation and JMJD1B deficiency oppositely alter dynamic PCNA interactions with FEN1 and LIG1 and result in distinct OFM DNA intermediate structures C_LIO_LIActivation of PARP1 at replication forks due to disruption of the sequential PCNA binding program induces LIG3-mediated alternative mutagenic 5 flap ligation for survival. C_LI

cell biology↗

bioRxiv2025

Systematic evaluation of the impact of promoter proximal short tandem repeats on expression

Genetic variation at thousands of short tandem repeats (STRs), which consist of consecutive repeated sequences of 1-6bp, has been statistically associated with gene expression and other molecular phenotypes in humans. However, the causality and regulatory mechanisms for most of these STRs remains unknown. Massively parallel reporter assays (MPRA) enable testing the regulatory activity of a large number of synthesized variants, but have not been applied to STRs due to experimental and computational challenges. Here, we optimized an MPRA framework based on random barcoding to study the impact of variation in repeat copy number on expression. We first performed an MPRA on sequences derived from 30,516 promoter-proximal STR loci along with up to 152bp of genomic context, testing 3-4 variants with differing repeat copy numbers for each locus in HEK293T cells. We identified 1,366 loci with significant associations between repeat copy number and expression, which were enriched for positive effect sizes (P=2.08e-110). We then designed a second MPRA in which we performed deeper perturbations, including systematic manipulation of the repeat unit sequence, orientation, and copy number, with 200-300 perturbations for each of the 300 loci with the strongest signals. Our results revealed that the repeat unit sequence is the primary driver of differences in the relationship between copy number and expression across loci, whereas orientation and flanking sequence have weaker effects, primarily for AT-rich repeat units. The high resolution of these perturbations enabled us to detect non-linear effects, most notably for AAAC/GTTT repeats, which emerge only beyond a certain copy number threshold. Finally, we observed that a subset of STRs in our library show expression levels that are tightly linked with predicted DNA secondary structure formation. We repeated our perturbation MPRA in HeLa S3 cells under wildtype and RNase H1 knockdown conditions, which, via reduction in RNase H1 activity, are expected to hinder resolution of R-loops. This demonstrated that associations between copy number and expression at G-quadruplex-forming CCCCG/CGGGG repeats are particularly sensitive to loss of RNase H1, providing support for an R-loop mediated mechanism for these repeats. Altogether, we establish STRs as a critical component of the non-coding regulatory grammar and provide a framework for understanding how this dynamic form of genetic variation shapes gene expression.

genomics↗