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Chen, X.

Publications and source records attributed to Chen, X..

At least 1,027 records · Page 57Linked to original sources

Molecular insights into intrinsic transducer-coupling bias in the CXCR4-CXCR7 system

Chemokine receptors constitute an important subfamily of G protein-coupled receptors (GPCRs), and they are critically involved in a broad range of immune response mechanisms. Ligand promiscuity among these receptors makes them an interesting target to explore novel aspects of biased agonism. Here, we comprehensively characterize two chemokine receptors namely, CXCR4 and CXCR7, which share a common chemokine agonist (CXCL12), in terms of their G-protein coupling, {beta}-arrestin ({beta}arr) recruitment, contribution of GRKs, and ERK1/2 MAP kinase activation. We observe that CXCR7 lacks G-protein coupling while maintaining robust {beta}arr recruitment with a major contribution of GRK5/6. On the other hand, CXCR4 displays robust G-protein activation as expected, however, it exhibits significantly reduced {beta}arr-coupling compared to CXCR7 in response to their shared natural agonist, CXCL12. These two receptors induce distinct {beta}arr conformations even when activated by the same agonist, and CXCR7, unlike CXCR4, fails to activate ERK1/2 MAP kinase. We further determine the crystal structure of {beta}arr2 in complex with a carboxyl-terminal phosphopeptide derived from CXCR7, which reveals a smaller interdomain rotation than observed previously for activated {beta}arrs. Importantly, structure-guided cellular experiments reveal a key contribution of a single phosphorylation site in CXCR7 on {beta}arr recruitment and endosomal trafficking. Taken together, our study provides molecular insights into intrinsic bias encoded in the CXCR4-CXCR7 system, and it has broad implications for therapeutically important framework of biased agonism.

biochemistry↗

Super-resolution stimulated Raman Scattering microscopy with A-PoD

Unlike traditionally-mapped Raman imaging, stimulated Raman scattering (SRS) imaging achieved the capability of imaging metabolic dynamics and a greatly improved signal-noise-ratio. However, its spatial resolution is still limited by the numerical aperture or scattering cross-section. To achieve super-resolved SRS imaging, we developed a new deconvolution algorithm - Adam optimization-based Pointillism Deconvolution (A-PoD) - for SRS imaging, and demonstrated a spatial resolution of 52 nm on polystyrene beads. By changing the genetic algorithm to A-PoD, the image deconvolution process was shortened by more than 3 orders of magnitude, from a few hours to a few seconds. By applying A-PoD to spatially correlated multi-photon fluorescence (MPF) imaging and deuterium oxide (D2O)-probed SRS (DO-SRS) imaging data from diverse samples, we compared nanoscopic distributions of proteins and lipids in cells and subcellular organelles. We successfully differentiated newly synthesized lipids in lipid droplets using A-PoD coupled with DO-SRS. The A-PoD-enhanced DO-SRS imaging method was also applied to reveal the metabolic change in brain samples from Drosophila on different diets. This new approach allows us to quantitatively measure the nanoscopic co-localization of biomolecules and metabolic dynamics in organelles. We expect that the A-PoD algorithm will have a wide range of applications, from nano-scale measurements of biomolecules to processing astronomical images.

bioengineering↗

Parallel analysis of RNA ends reveals global microRNA-mediated target RNA cleavage in maize

MicroRNAs (miRNAs) are endogenous 20-to 24-nucleotide (nt) noncoding RNAs that play important regulatory roles in many biological processes in eukaryotes. miRNAs modulate the expression of target genes at the post-transcriptional level by transcript cleavage or translational inhibition. Identification of miRNA target genes have been extensively investigated in Arabidopsis and rice, but an in-depth global analysis of miRNA-mediated target regulation is still lacking in maize. Here, we report a transcriptome-wide identification of miRNA targets by analyzing Parallel Analysis of RNA Ends (PARE) datasets derived from nine different tissues at five developmental stages of the maize (Zea mays L.) B73 cultivar. 246 targets corresponding to 60 miRNAs from 25 families were identified, including transcription factors and other genes. In addition, PARE analysis revealed that miRNAs guide specific target transcript cleavage in a tissue-preferential manner. Interestingly, primary transcripts of MIR159c and MIR169e were found to be cleaved by mature miR159 and miR169, respectively, indicating a positive-feedback regulatory mechanism in miRNA biogenesis. Moreover, several new miRNA-target gene pairs involved in seed germination were identified and experimentally validated. Our PARE analyses generated a wide and detailed miRNA-target interaction atlas, which provides a valuable resource for investigating the roles of miRNAs and their targets in maize.

plant biology↗

Sensitive bacterial Vm sensors revealed the excitability of bacterial Vm and its role in antibiotic tolerance

As an important free energy source, the membrane voltage (Vm) regulates many essential physiological processes in bacteria. However, in comparison with eukaryotic cells, knowledge of bacterial electrophysiology is very limited. Here, we developed a set of novel genetically encoded bacterial Vm sensors which allow single-cell recording of bacterial Vm dynamics in live cells with high temporal resolution. Using these new sensors, we reveal the electrically "excitable" and "resting" states of bacterial cells dependent on their metabolic status. In the electrically excitable state, frequent hyperpolarization spikes in bacterial Vm are observed, which facilitates increased antibiotic tolerance. In the electrically resting state, bacterial Vm displays significant cell-to-cell heterogeneity and is linked to the cell fate after antibiotic treatment.

microbiology↗

Plant phase extraction (PPE): A novel method for enhanced discovery of RNA-binding proteome in plants

RNA-binding proteins (RBPs) are versatile effectors in posttranscriptional gene regulation. Systematic profiling of RBPs in plants has been limited to proteins interacting with polyadenylated (poly(A)) RNAs due to the lack of an efficient method of isolating RBPs associated with non-poly(A) RNAs. Here we reported the establishment and application of plant phase extraction (PPE) as a novel method to comprehensively discover the RNA-binding proteome in Arabidopsis leaf tissues, leading to the isolation of 1,169 RBPs, of which 673 corroborate with previously reported RBPs and 496 are novel RBPs. PPE showed unmatched ability in capturing 374 diverse RNA-binding domains (RBDs), while 44% of the RBPs lack recognized RBDs. PPE recovered far more ribosomal and tRNA-related RBPs and metabolic enzymes with moonlighting RBP functions than any other individual report from plants, signifying its advantage in unbiasedly retrieving non-poly(A) and unconventional RBPs. We proposed that intrinsically disordered regions (IDRs) contributed to the non-classical binding of some novel RBPs, and provided the first evidence that enzymatic domains from metabolic enzymes have additional roles in RNA-binding. Taken together, our findings demonstrated that PPE is an effective approach to identifying a wide range of RBPs in complex plant tissues and may have broad biological implications.

molecular biology↗

Human skeletal muscle ageing atlas

Skeletal muscle ageing increases the incidence of age-associated frailty and sarcopenia in the elderly worldwide, leading to increased morbidity and mortality. However, our understanding of the cellular and molecular mechanisms of muscle ageing is still far from complete. Here, we generate a single-cell and single-nucleus transcriptomic atlas of skeletal muscle ageing from 15 donors across the adult human lifespan, accompanied by myofiber typing using imaging. Our atlas reveals ageing mechanisms acting across different compartments of the muscle, including muscle stem cells (MuSCs), myofibers and the muscle microenvironment. Firstly, we uncover two mechanisms driving MuSC ageing, namely a decrease in ribosome biogenesis and an increase in inflammation. Secondly, we identify a set of nuclei populations explaining the preferential degeneration of the fast-twitch myofibers and suggest two mechanisms acting to compensate for their loss. Importantly, we identify a neuromuscular junction accessory population, which helps myofiber to compensate for aged-related denervation. Thirdly, we reveal multiple microenvironment cell types contributing to the inflammatory milieu of ageing muscle by producing cytokines and chemokines to attract immune cells. Finally, we provide a comparable mouse muscle ageing atlas and further investigate conserved and specific ageing hallmarks across species. In summary, we present a comprehensive human skeletal muscle ageing resource by combining different data modalities, which significantly expands our understanding of muscle biology and ageing.

genomics↗

A common mechanism of temperature-sensing in thermoTRP channels

Detecting temperature is crucial for the survival of living organisms. Though the thermo transient receptor potential (thermoTRP) channels, such as TRPV1 or TRPM8, have been identified as prototypic heat or cold sensors, respectively, how they detect temperature remains elusive. Here we first identified groups of clustered residues in these channels that undergo burial/exposure conformational rearrangements during temperature activation by analyzing available protein structures or hydroxyl radical footprinting-mass spectroscopy (HRF-MS). By systematically perturbing water-protein interactions at these residues, we found that the temperature sensitivity in these channels were modulated in accordance with the sidechain hydrophobicity. The changes in energy associated with changes in water-protein interactions were sufficient for thermo activation. Therefore, our study has established that the water-protein interactions as a common mechanism underlying temperature sensing in TRPM8 and TRPV1.

biophysics↗

MADET: A Manually Curated Knowledgebase for Microbiomic Effects on Efficacy and Toxicity of Anticancer Treatments

A plethora of studies have reported the associations between microbiota and multiple diseases, leading to at least four databases to demonstrate microbiota-disease associations, i.e., gutMDisorder, mBodyMap, GMrepo and Amadis. Moreover, gut microbiota also mediates drug efficacy and toxicity, whereas a comprehensive database to elucidate the microbiota-drug associations is lacking. Here we report an open-access knowledgebase, MADET (Microbiomics of Anticancer Drug Efficacy and Toxicity), which harbors 453 manually annotated microbiota-drug associations from 24 papers. MADET provides user-friendly functions allowing users to freely browse, search, and download the data conveniently from the database. Users can customize their search filters in MADET using different types of keywords, including bacterial name (e.g., Akkermansia muciniphila), anticancer treatment (e.g., anti-PD-1 therapy) or cancer type (e.g., lung cancer) with different types of experimental evidence of microbiota-drug association and causation. We have also enabled user submission to further enrich the data document in MADET. The MADET database is freely available at https://www.madet.info. We anticipate that MADET will serve as a useful resource for a better understanding of the microbiota-drug associations and facilitate the future development of novel biomarkers and live biotherapeutic products for anticancer therapies.

microbiology↗

DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment

MotivationProteins interact to form complexes to carry out essential biological functions. Computational methods such as AlphaFold-multimer have been developed to predict the quaternary structures of protein complexes. An important yet largely unsolved challenge in protein complex structure prediction is to accurately estimate the quality of predicted protein complex structures without any knowledge of the corresponding native structures. Such estimations can then be used to select high-quality predicted complex structures to facilitate biomedical research such as protein function analysis and drug discovery. ResultsIn this work, we introduce a new gated neighborhood-modulating graph transformer to predict the quality of 3D protein complex structures. It incorporates node and edge gates within a graph transformer framework to control information flow during graph message passing. We trained, evaluated and tested the method (called DProQA) on newly-curated protein complex datasets before the 15th Critical Assessment of Techniques for Protein Structure Prediction (CASP15) and then blindly tested it in the 2022 CASP15 experiment. The method was ranked 3rd among the single-model quality assessment methods in CASP15 in terms of the ranking loss of TM-score on 36 complex targets. The rigorous internal and external experiments demonstrate that DProQA is effective in ranking protein complex structures. AvailabilityThe source code, data, and pre-trained models are available at https://github.com/jianlin-cheng/DProQA Contactchengji@missouri.edu Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

scMoMaT: Mosaic integration of single cell multi-omics matrices using matrix trifactorization

Single cell data integration methods aim to integrate cells across data batches and modalities, and obtain a comprehensive view of the cells. Single cell data integration tasks can be categorized into horizontal, vertical, diagonal, and mosaic integration, where mosaic integration is the most general and challenging case with few methods developed. We propose scMoMaT, a method that is able to integrate single cell multi-omics data under the mosaic integration scenario using matrix tri-factorization. During integration, scMoMaT is also able to uncover the cluster specific bio-markers across modalities. These multi-modal bio-markers are used to interpret and annotate the clusters to cell types. Moreover, scMoMaT can integrate cell batches with unequal cell type compositions. Applying scMoMaT to multiple real and simulated datasets demonstrated these features of scMoMaT and showed that scMoMaT has superior performance compared to existing methods. We also show that integrated cell embedding combined with learned bio-markers leads to cell type annotations of higher quality or resolution compared to their original annotations.

bioinformatics↗

Coexistence of Cue-specific and Cue-independent Spatial Representations for Landmarks and Self-motion Cues in Human Retrosplenial Cortex

Landmark-based and self-motion-based navigation are two fundamental forms of spatial navigation, which involve distinct cognitive mechanisms. A critical question is whether these two navigation modes invoke common or distinct spatial representations for a given environment in the brain. While a number of electrophysiological studies in non-human animals have investigated this question but yielded inconsistent results, it still awaits rigorous investigation in humans. In the current study, we combined ultra-high field fMRI at 7T and desktop virtual reality with state-of-the-art fMRI data analysis techniques. Using a novel linear track navigation task, we dissociated the use of landmarks and self-motion cues, so that participants used different spatial cues to encode and retrieve the same set of spatial locations. Focusing on the retrosplenial cortex (RSC) and the hippocampus, we observed that RSC contained both cue-specific and cue-independent spatial representations, which were driven by objective location (where the participant was actually located) and subjective location (the participants self-reported location), respectively. The hippocampus showed strong functional coupling with RSC and exhibited a similar spatial coding scheme, but with reduced effect sizes. Taken together, the current study demonstrated for the first time concurrent cue-specific and cue-independent spatial representations in RSC in the same spatial context, suggesting that this area might transform cue-specific spatial inputs into coherent cue-independent spatial representations to guide navigation behavior.

neuroscience↗

A Bispecific Antibody Targeting RBD and S2 Potently Neutralizes SARS-CoV-2 Omicron and Other Variants of Concern

Emerging severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants, especially the Omicron variant, have impaired the efficacy of existing vaccines and most therapeutic antibodies, highlighting the need for additional antibody-based tools that can efficiently neutralize emerging SARS-CoV-2 variants. The use of a "single" agent to simultaneously target multiple distinct epitopes on the spike is desirable to overcome the neutralizing escape of SARS-CoV-2 variants. Herein, we generated a human-derived IgG-like bispecific antibody (bsAb), Bi-Nab35B5-47D10, which successfully retained the specificity and simultaneously bound to the two distinct epitopes on RBD and S2. Bi-Nab35B5-47D10 showed improved spike binding breadth among wild-type (WT) SARS-CoV-2, variants of concern (VOCs) and variants being monitored (VBMs) compared with its parental mAbs. Furthermore, pseudotyped virus neutralization demonstrated that Bi-Nab35B5-47D10 can efficiently neutralize VBMs including Alpha (B.1.1.7), Beta (B.1.351) and Kappa (B.1.617.1) and VOCs including Delta (B.1.617.2), Omicron BA.1 and Omicron BA.2. Crucially, Bi-Nab35B5-47D10 substantially improved neutralizing activity against Omicron BA.1 (IC50= 27.3 ng/mL) and Omicron BA.2 (IC50= 121.1 ng/mL) compared with their parental mAbs. Therefore, Bi-Nab35B5-47D10 represents a potential effective countermeasure against SARS-CoV-2 Omicron and other variants of concern. ImportanceThe new highly contagious SARS-CoV-2 Omicron variant caused substantial breakthrough infections and has become the dominant strain in countries across the world. Omicron variants usually bear high mutations in the spike protein and exhibit considerable escape of most potent neutralization monoclonal antibodies and reduced efficacy of current COVID-19 vaccines. The development of neutralizing antibodies with potent efficacy against the Omicron variant is still an urgent priority. Here, we generated a bsAb, Bi-Nab35B5-47D10, that simultaneously targets SARS-CoV-2 RBD and S2 and improved neutralizing potency and breadth against SARS-CoV-2 WT and the tested variants compared with their parental antibodies. Notably, Bi-Nab35B5-47D10 has more potent neutralizing activity against the VOC Omicron pseudotyped virus. Therefore, Bi-Nab35B5-47D10 is a feasible and potentially effective strategy to treat and prevent COVID-19.

immunology↗

Epigenetic variation impacts ancestry-associated differences in the transcriptional response to influenza infection

Humans display remarkable inter-individual variation in immune response when exposed to identical immune challenges. Yet, our understanding of the genetic and epigenetic factors contributing to such variation remains limited. Here we carried out in-depth genetic, epigenetic, and transcriptional profiling on primary macrophages derived from a panel of European and African-ancestry individuals before and after infection with influenza A virus (IAV). We show that baseline epigenetic profiles are strongly predictive of the transcriptional response to IAV across individuals, and that ancestry-associated differences in gene expression are tightly coupled with variation in enhancer activity. Quantitative trait locus (QTL) mapping revealed highly coordinated genetic effects on gene regulation with many cis-acting genetic variants impacting concomitantly gene expression and multiple epigenetic marks. These data reveal that ancestry-associated differences in the epigenetic landscape are genetically controlled, even more so than variation in gene expression. Lastly, we show that among QTL variants that colocalized with immune-disease loci, only 7% were gene expression QTL, the remaining corresponding to genetic variants that impact one or more epigenetic marks, which stresses the importance of considering molecular phenotypes beyond gene expression in disease-focused studies.

genetics↗

Phosphorylation Status of B beta Subunit Acts as a Switch to Regulate the Function of Phosphatase PP2A in Ethylene-mediated Root Growth Inhibition

The various combinations and regulations of different subunits of phosphatase PP2A holoenzymes underlie their functional complexity and importance. We found that phosphorylation status of B{beta} of PP2A acts as a switch to regulate the activity of PP2A. In the absence of ethylene, phosphorylated B{beta} leads to an inactivation of PP2A; the substrate EIR1 remains to be phosphorylated, preventing the EIR1 mediated auxin transport in epidermis, leading to normal root growth. Upon the ethylene treatment, the dephosphorylated B{beta} mediates the formation of A2-C4-B{beta} protein complex to activate PP2A, resulting in the dephosphorylation of EIR1 to promote auxin transport in epidermis of elongation zone, leading to root growth inhibition. Altogether, our research revealed a novel molecular mechanism by which the dephosphorylation of B{beta} subunit switches on the PP2A activity to dephosphorylate EIR1 to establish EIR1 mediated auxin transport in epidermis in elongation zone for root growth inhibition in response to ethylene. Significance StatementRoot growth is critical to the establishment of planted seedlings. Ethylene plays an important role in the root growth. Yet, the molecular mechanisms that how ethylene regulates the root growth are largely unexplored. This research sheds light on the molecular mechanisms of the determination of the functional specificity and activity of PP2A in response to stimulus in cell type specific manner and reveals the novel molecular mechanism through which ethylene signaling regulates EIR1 dephosphorylation through B{beta} dephosphorylation to active EIR1 mediated auxin transport in epidermis in elongation zone, leading to root growth inhibition.

plant biology↗

Comparative genomics reveals insight into the evolutionary origin of massively scrambled genomes.

Ciliates are microbial eukaryotes that undergo extensive programmed genome rearrangement that converts long germline chromosomes into smaller gene-rich somatic chromosomes. Three well-studied ciliates include Oxytricha trifallax, Tetrahymena thermophila and Paramecium tetraurelia, but only the Oxytricha lineage has a massively scrambled genome whose assembly requires hundreds of thousands of precise DNA joining events. Here we study the emergence of genome complexity by examining the origin and evolution of discontinuous and scrambled genes in the Oxytricha lineage. We sequenced, assembled and annotated the germline and somatic genomes of Euplotes woodruffi and the germline genome of Tetmemena sp., and compared their genome rearrangement features to that of the model ciliate Oxytricha trifallax. The germline genome of Tetmemena is as massively scrambled and interrupted as Oxytrichas: 13.6% of its gene loci rearrange via translocations and/or inversions. This study revealed that the earlier-diverged spirotrich, E. woodruffi, also has a scrambled genome, but approximately half as many loci (7.3%) are scrambled, supporting its position as a possible evolutionary intermediate in this lineage, in the process of accumulating complex genome rearrangements. Scrambled loci are more often associated with local duplications, supporting a simple model for the origin of scrambled genes via DNA duplication and decay.

evolutionary biology↗

Transposable elements are associated with the variable response to influenza infection

Influenza A virus (IAV) infections are frequent every year and result in a range of disease severity. Given that transposable elements (TEs) contribute to the activation of innate immunity, we wanted to explore their potential role in this variability. Transcriptome profiling in monocyte-derived macrophages from 39 individuals following IAV infection revealed significant inter-individual variation in viral load post-infection. Using ATAC-seq we identified a set of TE families with either enhanced or reduced accessibility upon infection. Of the enhanced families, 15 showed high variability between individuals and had distinct epigenetic profiles. Motif analysis showed an association with known immune regulators in stably enriched TE families and with other factors in variable families, including KRAB-ZNFs. We also observed a strong association between basal TE transcripts and viral load post infection. Finally, we built a predictive model suggesting that TEs, and host factors regulating TEs, contribute to the variable response to infection.

immunology↗

Testing the link between isoaspartate and Alzheimer's disease etiology

Isoaspartate (isoAsp) is a damaging amino acid residue formed in proteins as a result of spontaneous deamidation. IsoAsp disrupts the secondary and higher order structures of proteins, damaging their functions and making them prone to aggregation. An association has been suggested between isoAsp and Alzheimers Disease (AD). Here we strengthened the link between isoAsp and AD by novel approaches to isoAsp analysis in blood human serum albumin (HSA), the most abundant blood protein, a major carrier of amyloid beta (A{beta}) peptide and phosphorylated tau (pTau) protein in blood and a key participant in their clearance pathway. We discovered a reduced amount of anti-isoAsp antibodies (P < .0001), an elevated isoAsp level in HSA (P < .001), more HSA aggregates (P < .0001) and increased levels of free A{beta} (P < .01) in AD blood compared to healthy controls. We also found that deamidation significantly reduces HSA capacity to bind with A{beta} and pTau (P < .05). These findings support the presence in AD of a bottleneck in clearance of A{beta} and pTau leading to their increased concentrations in brain and facilitating their aggregations there. RESEARCH IN CONTEXTO_LISystematic review: We reviewed the evidence that associates isoaspartate (isoAsp) residue in blood proteins with the etiology of Alzheimers disease (AD). However, the link between isoAsp in blood and aggregation of amyloid beta (A{beta}) peptide and phosphorylated tau (pTau) protein in brain remained unclear. C_LIO_LIInterpretation: For the first time we demonstrate that isoAsp-containing human serum albumin (HSA) forms aggregates with reduced binding capacity toward A{beta} peptide and pTau protein. Using a novel ELISA, we discovered in AD blood elevated levels of isoAsp in HSA, together with reduced endogenous anti-isoAsp antibody levels, suggesting hampered A{beta} and pTau clearance in AD. C_LIO_LIFuture directions: As degradation of the innate anti-isoAsp defenses may take years to develop, investigation of the isoAsp role in early stages of AD is warranted. And enrollment of different neurodegenerative disease cohorts will illustrate if isoAsp is AD-specific or universal to diseases related to aging. C_LI O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

neuroscience↗

Multifaceted role of RIMBP2 in promoting hearing in murine cochlear hair cells

In peripheral, the mammalian cochlea is a remarkable sensory apparatus, owning to its outer and inner hair cells (OHCs and IHCs) that amplify and transmit auditory signals to the brain, respectively. Rab3-interacting molecular (RIM) binding protein 2 (RIMBP2) is widely expressed in receptor cells and neurons, specifically in the active zones for exocytosis of synaptic vesicles (SVs), but its exact functions in the cochlea are not very well understood. We therefore generated a Rimbp2 knockout mouse model (Rimbp2-/-), which exhibited severely impaired hearing with not only elevated hearing thresholds but also increased latencies and reduced amplitudes in the Wave I of their auditory brainstem responses (ABRs). Consistent with the threshold elevation, we found significant loss of OHCs, likely through apoptosis, in the Rimbp2-/- cochlea. Consistent with changes observed in the ABR Wave I, we found greatly reduced exocytosis, both spontaneously and upon stimulation, in Rimbp2-/- IHCs. Specifically, our patch-clamp analysis on IHCs and postsynaptic spiral ganglion neurons (SGNs) revealed not only reduced readily releasable pool (RRP) of SVs but also reduced sustained release rate, along with complete blockade of fast endocytosis, in Rimbp2-/- IHCs. Lastly, with immunostaining of whole-mounted cochleae, we found that while the number of ribbon synapses in Rimbp2-/- IHCs was unchanged, their localization moved subtly but significantly towards the basal pole of IHCs. Taken together, we uncovered an unexpected role of RIMBP2 for OHC survival and a more extensive role in promoting IHC exocytosis than previously believed.

neuroscience↗