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Biology subjects

Li, A. M.

Publications and source records attributed to Li, A. M..

9 recordsLinked to original sources

MERFISH-based pooled genetic screening reveals cell non-autonomous phenotypes in intact tissue

Genetic perturbations can reshape both the state of a targeted cell and the behavior of neighboring cells. Measuring these effects systematically in intact tissues requires pooled screening methods that jointly identify perturbations, molecular phenotypes, and spatial context of individual cells. Here, we report an imaging-based pooled screening method that detects perturbation identities and endogenous RNAs without enzymatic amplification. Relative to our previous enzymatic-amplification-based workflow, amplification-free MERFISH detection with direct hybridization increased recovery of perturbation barcodes by ~10-fold and endogenous transcripts by 2.5-fold, improving perturbation assignment as well as molecular profiling of both perturbed and neighboring cells. Applying this method to a genetic mosaic mouse liver screen targeting ~200 genes in hepatocytes, we profiled 1.5 million cells in intact tissues and mapped both cell-autonomous responses of perturbed hepatocytes and cell non-autonomous changes in neighboring immune and vascular populations. These included localized accumulation of pDC-like cells near hepatocytes with impaired V-ATPase function and angiogenic responses in vascular cells near Vhl-perturbed hepatocytes with hypoxia activation. Our method provides a simplified, scalable approach to linking genetic perturbations with cell state, multicellular response, and tissue organization.

genomics↗

Cell state-specific metabolic networks govern ferroptosis versus apoptosis in small cell lung cancer

Cellular heterogeneity and plasticity are hallmarks of cancer that contribute to tumor growth and therapy resistance. Here we investigated metabolic heterogeneity in small cell lung cancer (SCLC), an aggressive neuroendocrine (NE) cancer type. Through integrated transcriptomic and metabolomic analyses, we identified a universal dependency on exogenous cysteine/cystine (Cys) across all NE/non-NE SCLC cell states. Notably, NE and non-NE cells with low levels of the ASCL1 transcription factor die from ferroptosis upon Cys depletion. In contrast, ASCL1-high cells die from apoptosis but are ferroptosis resistant. This resistance to ferroptosis is driven by the direct upregulation of the gene coding for the GCH1 enzyme by ASCL1, which results in higher levels of the BH4/BH2 antioxidants. Accordingly, combining cysteine depletion with BH4/BH2 synthesis inhibition effectively reduces tumor growth in patient-derived xenografts. This work elucidates distinct metabolic states in SCLC and suggests new approaches to induce cell death in this lethal form of cancer.

cancer biology↗

Mitochondrial Oxidative Phosphorylation Capacity in Skeletal Muscle Measured by Ultrafast Z-Spectroscopy (UFZ) MRI at 3T

BackgroundTo investigate the feasibility of rapid CEST MRI acquisition for evaluating oxidative phosphorylation (OXPHOS) in human skeletal muscle at 3 Tesla, utilizing ultrafast Z-spectroscopy (UFZ) MRI combined with the Polynomial and Lorentzian line-shape Fitting (PLOF) technique. MethodsUFZ MRI on muscle was evaluated with turbo spin echo (TSE) and segmented 3D EPI readouts. Five healthy subjects performed in-magnet plantar flexion exercise (PFE) and subsequent changes of amide, phosphocreatine (PCr) and partial PCr mixed creatine (Cr+) CEST dynamic signals post-exercise were enabled by PLOF fitting. PCr/Cr CEST signal was further refined through pH correction by using the ratios between PCr/Cr and amide signals, named PCAR/CAR, respectively. ResultsUFZ MRI with TSE readout significantly reduces acquisition time, achieving a temporal resolution of <50 seconds for collecting high-resolution Z-spectra. Following PFE, the recovery/decay times ({tau}) for both PCr and Cr in the gastrocnemius muscle of the calf were notably longer when determined using PCr/Cr CEST compared to those after pH correction with amideCEST, namely [Formula] s and{tau} PCr = 98.1 {+/-} 20.4 s versus{tau} CAR =36.4 {+/-} 18.6 s and{tau} PCAR = 43.0 {+/-} 13.0 s, respectively. Literature values of{tau} PCr obtained via 31P MRS closely resemble those obtained from pH-corrected PCr/Cr CEST signals. ConclusionThe outcomes suggest potential of UFZ MRI as a robust tool for non-invasive assessment of mitochondrial function in skeletal muscles. pH correction is critical for the reliable OXPHOS measurement by CEST.

biophysics↗

Glucose modulates transcription factor dimerization to enable tissue differentiation

Glucose is a universal energy currency for living organisms, however, its non-energetic functions in processes such as differentiation are undefined. In epidermis, differentiating cells exhibit dynamic changes in gene expression1-4 driven by specific transcription factors (TFs)5-9. The interplay between such TFs and biomolecules that also change in this process is not understood. Metabolomic analyses revealed that increased intracellular glucose accompanies differentiation of epidermal keratinocytes. This elevation also occurred in differentiating cells from other tissues and was verified in epidermal tissue engineered with glucose sensors, which detected a glucose gradient that peaked in the outermost differentiated layers. Free glucose accumulation, unaccompanied by its increased metabolism, was essential for epidermal differentiation and required GLUT1, GLUT3, and SGLT1 transporters. Glucose affinity chromatography and azido-glucose click chemistry uncovered glucose binding to diverse regulatory proteins, including the IRF6 TF, whose epidermal knockout confirmed its requirement in glucose-dependent differentiation. Direct glucose binding enabled IRF6 dimerization, DNA binding, genomic localization, and induction of IRF6 target genes, including essential pro-differentiation TFs GRHL1, GRHL3, HOPX and PRDM1. The IRF6R84C mutant found in undifferentiated cancers was unable to bind glucose. These data identify a new role for glucose as a gradient morphogen that modulates protein multimerization in cellular differentiation.

molecular biology↗

Reprogramming the neuroblastoma epigenome with a mitochondrial uncoupler

Dysregulated DNA methylation is associated with poor prognosis in cancer patients, promoting tumorigenesis and therapeutic resistance1. DNA methyltransferase inhibitors (DNMTi) reduce DNA methylation and promote cancer cell differentiation, with two DNMTi already approved for cancer treatment2. However, these drugs rely on cell division to dilute existing methylation, thus the demethylation effects are achieved in a passive manner, limiting their application in slow-proliferating tumor cells. In this study we use a mitochondrial uncoupler, niclosamide ethanolamine (NEN), to actively achieve global DNA demethylation. NEN treatment promotes DNA demethylation by activating electron transport chain (ETC) to produce -ketoglutarate (-KG), a substrate for the DNA demethylase TET. In addition, NEN inhibits reductive carboxylation, a key metabolic pathway to support growth of cancer cells with defective mitochondria or under hypoxia. Importantly, NEN treatment reduces 2-hydroxyglutarate (2-HG) generation and blocks DNA hypermethylation under hypoxia. Together, these metabolic reprogramming effects of NEN actively alter the global DNA methylation landscape and promote neuroblastoma differentiation. These results not only support Warburgs original hypothesis that inhibition of ETC causes cell de-differentiation and tumorigenesis, but also suggest that mitochondrial uncoupling is an effective metabolic and epigenetic intervention that remodels the tumor epigenome for better prognosis.

cancer biology↗

Serine Starvation Silences Estrogen Receptor Signaling through Histone Hypoacetylation

Estrogen receptor (ER) plays important roles in regulating normal development and female reproductive system function. Loss of ER pathway activity is a hallmark of breast cancer progression, associated with accelerated tumor proliferation and resistance to endocrine therapy. How ER loss occurs remains poorly understood. Here, we show that serine starvation, a metabolic stress often found in solid tumors, downregulates estrogen receptor alpha (ER) expression, represses transcriptional targets such as progesterone receptor (PR), and reduces sensitivity to antiestrogens, suggesting a transition of ER-positive (ER+) breast cancer cells to an ER/PR-negative (ER-/PR-) state. ER downregulation under serine starvation is accompanied by a global loss of histone acetylation. These chromatin changes are driven by metabolic reprogramming triggered by serine starvation, particularly lower glucose flux through glycolysis and the TCA cycle, leading to reduced acetyl-CoA levels and histone hypoacetylation. Supplementation with acetate or glycerol triacetate (GTA), precursors of acetyl-CoA, restores H3K27 acetylation and ER expression under serine starvation. Therefore, a major consequence of serine starvation in breast cancer could be global chromatin changes that influence lineage-specific gene expression.

cancer biology↗

Interstitial and cerebrospinal fluid exchanging process revealed by phase alternate labeling with null recovery MRI

PurposeTo develop Phase Alternate LAbeling with Null recovery (PALAN) MRI methods for the quantification of interstitial to cerebrospinal fluid flow (ICF) and cerebrospinal to interstitial fluid flow (CIF) in the brain. MethodIn both T1-PALAN and apparent diffusion coefficient (ADC)-PALAN MRI methods, the cerebrospinal fluid (CSF) signal was nulled, while the residual interstitial fluid (ISF) was labeled by alternating the phase of pulses. ICF was extracted from the difference between the recovery curves of CSF with and without labeling. Similarly, CIF was measured by the T2-PALAN MRI method by labeling CSF, which took advance of the significant T2 difference between CSF and parenchyma. ResultsBoth T1-PALAN and ADC-PALAN observed a rapid occurrence of ICF at 67{+/-}56 ms and 13{+/-}2 ms interstitial fluid transit times, respectively. ICF signal peaked at 1.5 s for both methods. ICF was 1153{+/-}270 ml/100ml/min with T1-PALAN in the third and lateral ventricles, which was higher than 891{+/-}60 ml/100ml/min obtained by ADC-PALAN. The results of the T2-PALAN suggested the ISF exchanging from ependymal layer to the parenchyma was extremely slow. ConclusionThe PALAN methods are suitable tools to study ISF and CSF flow kinetics in the brain.

bioengineering↗

Aberrant axonal pathfinding and exuberant myelination in an inducible model of neocortical heterotopia

Neocortical heterotopia consist of ectopic neuronal clusters that are frequently found in individuals with cognitive disability and epilepsy. However, their pathogenesis remains poorly understood due in part to a lack of tractable animal models. We have developed an inducible model of focal heterotopia that enables their precise spatiotemporal control and high-resolution optical imaging in live mice. Here we report that heterotopia are associated with striking patterns of hypermyelinated and circumferentially projecting axons around neuronal clusters. Despite their aberrant axonal patterns, in vivo calcium imaging revealed that heterotopic neurons remain functionally connected to other brain regions, highlighting their potential to influence global neural networks. These aberrant patterns only form when heterotopia are induced during a critical embryonic temporal window, but not in early postnatal development. Our model provides a new way to investigate heterotopia formation in vivo and revealed features suggesting the existence of developmentally-modulated, neuron-derived axon guidance and myelination factors.

developmental biology↗

Differential contributions of subthalamic beta rhythms and neural noise to Parkinson motor symptoms

BackgroundExcessive beta oscillatory activity in the subthalamic nucleus (STN) is linked to Parkinsons disease and associated motor symptoms. However, the relationship between beta activity and motor symptoms has been inconsistent, which may influence the efficacy of closed-loop deep brain stimulation.\n\nHypothesisWe hypothesized that this variability is due to the degree of neural noise in STN recordings. Recent evidence has shown that neural noise is influenced by multiple factors, such as development, aging and disease, and could confound measures of beta activity. In this work, we propose a model that disentangles beta oscillatory activity and neural noise in the STN power spectrum.\n\nMethodsWe investigated the impact of neural noise on estimations of beta activity and motor symptoms from data recorded bilaterally from the subthalamic nuclei of thirteen Parkinsonian patients.\n\nResultsResults showed that the relationship between beta oscillatory amplitude and motor symptoms (bradykinesia and rigidity) significantly improved when neural noise was removed from the estimation of beta activity.\n\nConclusionThese findings emphasize the importance of modeling neural components independently for understanding physiological processes associated with Parkinsons disease, and identifying better biomarkers for characterizing symptom severity. Subsequently, we predict that our findings can have a direct application for closed-loop deep brain stimulation on Parkinsons Disease.

neuroscience↗