Biology subjects

Lin, Y.

Publications and source records attributed to Lin, Y..

At least 397 records · Page 22Linked to original sources

bioRxiv2019

Investigating higher order interactions in single cell data with scHOT

Single-cell RNA-sequencing has transformed our ability to examine cell fate choice. For example, in the context of development and differentiation, computational ordering of cells along pseudotime enables the expression profiles of individual genes, including key transcription factors, to be examined at fine scale temporal resolution. However, while cell fate decisions are typically marked by profound changes in expression, many such changes are observed in genes downstream of the initial cell fate decision. By contrast, the genes directly involved in the cell fate decision process are likely to interact in subtle ways, potentially resulting in observed changes in patterns of correlation and variation rather than mean expression prior to cell fate commitment. Herein, we describe a novel approach, scHOT - single cell Higher Order Testing - which provides a flexible and statistically robust framework for identifying changes in higher order interactions among genes. scHOT is general and modular in nature, can be run in multiple data contexts such as along a continuous trajectory, between discrete groups, and over spatial orientations; as well as accommodate any higher order measurement such as variability or correlation. We demonstrate the utility of scHOT by studying embryonic development of the liver, where we find coordinated changes in higher order interactions of programs related to differentiation and liver function. We also demonstrate its ability to find subtle changes in gene-gene correlation patterns across space using spatially-resolved expression data from the mouse olfactory bulb. scHOT meaningfully adds to first order effect testing, such as differential expression, and provides a framework for interrogating higher order interactions from single cell data.

bioinformatics↗

bioRxiv2019

Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder

Recent advances in consortium-scale genome-wide association studies (GWAS) have highlighted the involvement of common genetic variants in autism spectrum disorder (ASD), but our understanding of their etiologic roles, especially the interplay with rare variants, is incomplete. In this work, we introduce an analytical framework to quantify the transmission disequilibrium of genetically regulated gene expression from parents to offspring. We applied this framework to conduct a transcriptome-wide association study (TWAS) on 7,805 ASD proband-parent trios, and replicated our findings using 35,740 independent samples. We identified 31 associations at the transcriptome-wide significance level. In particular, we identified POU3F2 (p=2.1e-7), a transcription factor (TF) mainly expressed in developmental brain. TF targets regulated by POU3F2 showed a 2.1-fold enrichment for known ASD genes (p=4.6e-5) and a 2.7-fold enrichment for loss-of-function de novo mutations in ASD probands (p=7.1e-5). These results provide a clear example of the connection between ASD genes affected by very rare mutations and an unlinked key regulator affected by common genetic variations.

genetics↗

bioRxiv2019

Over 50000 metagenomically assembled draft genomes for the human oral microbiome reveal new taxa

The oral cavity of each person is home for hundreds of bacterial species. While taxa for oral diseases have been well studied using culture-based as well as amplicon sequencing methods, metagenomic and genomic information remain scarce compared to the fecal microbiome. Here we provide metagenomic shotgun data for 3346 oral metagenomics samples, and together with 808 published samples, assemble 56,213 metagenome-assembled genomes (MAGs). 64% of the 3,589 species-level genome bins contained no publicly available genomes, others with only a handful. The resulting genome collection is representative of samples around the world and across physiological conditions, contained many genomes from Candidate phyla radiation (CPR) which lack monoculture, and enabled discovery of new taxa such as a family within the Acholeplasmataceae order. New biomarkers were identified for rheumatoid arthritis or colorectal cancer, which would be more convenient than fecal samples. The large number of metagenomic samples also allowed assembly of many strains from important oral taxa such as Porphyromonas and Neisseria. Predicted functions enrich in drug metabolism and small molecule synthesis. Thus, these data lay down a genomic framework for future inquiries of the human oral microbiome.

microbiology↗

bioRxiv2019

Single-cell dissection of a rare human prostate basal cell carcinoma

As a rare subtype of prostate carcinoma, basal cell carcinoma (BCC) has not been studied extensively and thus lacks systematic molecular characterization. Here we applied single-cell genomic amplification and RNA-Seq to a specimen of human prostate BCC (CK34{beta}E12+/P63+/PAP-/PSA-). The mutational landscape was obtained via whole exome sequencing of the amplification mixture of 49 single cells, and the 5 putative driver genes mutated are CASC5, NUTM1, PTPRC, KMT2C and TBX3. The top 3 nucleotide substitutions are C>T, T>C and C>A, similar to common prostate cancer. The distribution of the variant allele frequency values indicated these single cells are from the same tumor clone. The transcriptomes of 69 single cells were obtained, and they were clustered into tumor, stromal and immune cells based on their global transcriptomic profiles. The tumor cells specifically express basal cell markers like KRT5, KRT14 and KRT23, and epithelial markers EPCAM, CDH1 and CD24. The transcription factor (TF) co-variance network analysis showed that the BCC tumor cells have distinct regulatory networks. By comparison with current prostate cancer datasets, we found that some of the bulk samples exhibit basal-cell signatures. Interestingly, at single-cell resolution the gene expression patterns of prostate BCC tumor cells show uniqueness compared with that of common prostate cancer-derived circulating tumor cells. This study, for the first time, discloses the comprehensive mutational and transcriptomic landscapes of prostate BCC, which lays a foundation for the understanding of its tumorigenesis mechanism and provides new insights into prostate cancers in general.

cancer biology↗

bioRxiv2019

Reconstructing lost BOLD signal in individual participants using deep machine learning

The blood oxygen level-dependent (BOLD) signal in functional neuroimaging suffers from magnetic susceptibility artifacts and interference from metal implants. The resulting signal loss hampers functional neuroimaging studies and can lead to misinterpretation of findings. Here, we reconstructed compromised BOLD signal using deep machine learning. We trained a deep learning model to learn principles governing BOLD activity in one dataset and reconstructed artificially-compromised regions in another dataset, frame by frame. Strikingly, BOLD time series extracted from reconstructed frames were correlated with the original time series, even though the frames did not independently carry information about BOLD fluctuations through time. Moreover, reconstructed functional connectivity (FC) maps exhibited good correspondence with the original FC maps, indicating that the deep learning model recovered functional relationships among brain regions. We replicated this result in patients whose scans suffered signal loss due to intracortical electrodes. Critically, the reconstructions captured individual-specific information rather than group information learned during training. Deep machine learning thus presents a unique opportunity to reconstruct compromised BOLD signal while capturing features of an individuals own functional brain organization.

neuroscience↗

bioRxiv2019

Fine-tuning Polygenic Risk Scores with GWAS Summary Statistics

Polygenic risk scores (PRSs) have wide applications in human genetics research. Notably, most PRS models include tuning parameters which improve predictive performance when properly selected. However, existing model-tuning methods require individual-level genetic data as the training dataset or as a validation dataset independent from both training and testing samples. These data rarely exist in practice, creating a significant gap between PRS methodology and applications. Here, we introduce PUMAS (Parameter-tuning Using Marginal Association Statistics), a novel method to fine-tune PRS models using summary statistics from genome-wide association studies (GWASs). Through extensive simulations, external validations, and analysis of 65 traits, we demonstrate that PUMAS can perform a variety of model-tuning procedures (e.g. cross-validation) using GWAS summary statistics and can effectively benchmark and optimize PRS models under diverse genetic architecture. On average, PUMAS improves the predictive R2 by 205.6% and 62.5% compared to PRSs with arbitrary p-value cutoffs of 0.01 and 1, respectively. Applied to 211 neuroimaging traits and Alzheimers disease, we show that fine-tuned PRSs will significantly improve statistical power in downstream association analysis. We believe our method resolves a fundamental problem without a current solution and will greatly benefit genetic prediction applications.

genetics↗

bioRxiv2019

Golden pompano genome and embryo transcriptome shed light on regulation of minor ZGA gene on heart and vascular development

BACKGROUNDAngiogenesis is closely associated with angiogenesis-dependent diseases including cancers and ocular diseases. Anti-angiogenic therapeutics have been focusing on the (VEGF)/VEGFR signaling axis. However, the clinical resistance, high cost and frequent administration of anti-VEGF drugs make it urgent to discover novel angiogenic pathways.VE-PTP (ptprb) is a novel target with great anti-angiogenic potential. However, it is unclear whether upstream signaling pathways targeting VE-PTP exist in angiogenesis. METHODSWhole genome and embryo transcriptome sequencing were applied to discover the new gene nxhl. Transgenic zebrafish model, morpholino knockdown and small interfering RNA were used to explore the role of nxhl in angiogenesis both in vitro and in vivo. RNA pulldown, RIP and ChIRP-MS were used to identify interactions between RNA and protein. RESULTSWe discovered a novel zebrafish gene nxhl which is a homologue of the conserved gene nxh that co-expressed with some key genes essential for embryo development in vertebrate. Nxhl deletion causes angiogenesis defects in embryo. Moreover, nxhl is essential to mediate effects of angiogenesis in vivo and in vitro, and ptprb depletion duplicates the phenotypes of nxhl deficiency. Importantly, nxhl acts upstream of ptprb and regulates many extreme important ptprb-linked angiogenic genes by targeting VE-PTP (ptprb) through interactions with NCL. Notably, nxhl deletion decreases the phosphorylation of NCL T76 and increases the acetylation of NCL K88, suggesting nxhl may regulate downstream VE-PTP signaling pathways by mediation of NCL posttranslational modification. This is the first description of the interaction between nxhl and NCL, NCL and VE-PTP (ptprb), uncovering a novel nxhl-NCL-VE-PTP signaling pathway on angiogenesis regulation. CONCLUSIONSOur study identifies nxhl controlling angiogenesis by targeting VE-PTP through interactions with NCL, uncovering novel upstream controllers of VE-PTP. This nxhl-NCL-VE-PTP pathway may be a therapeutic target in the treatment of angiogenesis-dependent diseases. Clinical PerspectiveO_ST_ABSWhat Is New?C_ST_ABSO_LIWe report a novel nxhl-NCL-VE-PTP signaling pathway that controls angiogenesis. C_LIO_LIWe for the first time demonstrate that nxhl interacts with NCL which simultaneously binds to VE-PTP that plays key roles on EC adherens junction, integrity and vascular homeostasis. C_LIO_LINxhl also controls some other crucial VE-PTP-linked downstream angiogenic genes (such as Tie2, VEGFaa, VEGFR2, Erbb2, S1pr1 and Hey2) which explain the phenotypes induced by the nxhl deficiency. C_LIO_LIOur study indicates the key role of nxhl on controlling angiogenesis as an upstream regulator of VE-PTP. C_LI What Are the Clinical Implications?O_LIThere are several ongoing researches investigating the utility of VE-PTP or NCL inhibitors on treatment of angiogenesis-dependent diseases including a range of cancers and nonneoplastic diseases, such as AMD, DME, RA and atherosclerosis. C_LIO_LITargeting the nxhl-NCL-VE-PTP pathway may facilitate therapeutic angiogenesis in patients with cancers or ocular diseases such as DME. C_LIO_LIOur study highlights the great potential of nxhl on anti-angiogenic therapeutics by targeting VE-PTP. C_LI

genomics↗

bioRxiv2019

scClassify: hierarchical classification of cells

Cell type identification is a key computational challenge in single-cell RNA-sequencing (scRNA-seq) data. To capitalize on the large collections of well-annotated scRNA-seq datasets, we present scClassify, a hierarchical classification framework based on ensemble learning. scClassify can identify cells from published scRNA-seq datasets more accurately and more finely than in the original publications. We also estimate the cell number needed for accurate classification anywhere in a cell type hierarchy.

bioinformatics↗

bioRxiv2019

Influencing factors of telephone-cardiopulmonary resuscitation in China: a qualitative exploration based on managerial perspectives

BackgroundTelephone-cardiopulmonary resuscitation(T-CPR) has been proven to systematically improve bystander CPR implementation and thus improve the survival rate of out-of-hospital cardiac arrest (OHCA) patients on a large scale. However, China has a lower proportion of cities that provide T-CPR than other countries.This study aimed to explore the factors affecting the providing of T-CPR based on managerial perspectives and promote the implementation of T-CPR in China to Protect human health. MethodsThis study adopted a descriptive qualitative method.The managers from health bureau and first-aid Center were recruited to participate through purposive sampling. Data were collected using semi-structured interviews and Colaizzi 7-step analysis method was adopted to summarize and conclude the theme. ResultsA total of 10 managers were interviewed.Five main themes were identified: (a) bystander factors, (b) dispatching factors, (c) legal factors, (d) guiding factors, and (e) financial factors. ConclusionIt is urgent to promote the implementation of T-CPR in China.We can promote it by strengthening the training of bystanders in CPR knowledge and skills, developing T-CPR guidance process suitable for Chines national conditions, building an intelligent prehospital emergency system, promoting the legislation of first aid exemption, and providing financial support from various channels.

systems biology↗

bioRxiv2019

Sequences Dimensionality-Reduction by K-mer Substring Space Sampling Enables Effective Resemblance- and Containment-Analysis for Large-Scale omics-data

We proposed a new sequence sketching technique named k-mer substring space decomposition (kssd), which sketches sequences via k-mer substring space sampling instead of local-sensitive hashing. Kssd is more accurate and faster for resemblance estimation than other sketching methods developed so far. Notably, kssd is robust even when two sequences are of very different sizes. For containment analysis, kssd slightly outperformed mash screen--its closest competitor--in accuracy, while took testing datasets of 110,535 times less space occupation and consumed 2,523 times less CPU time than mash screen--suggesting kssd is suite for quick containment analysis for almost the entire omics datasets deposited in NCBI. We detailed the kssd algorithm, provided proofs of its statistical properties and discussed the roots of its superiority, limitations and future directions. Kssd is freely available under an Apache License, Version 2.0 (https://github.com/yhg926/public_kssd)

bioinformatics↗

bioRxiv2019

Single-Cell RNA-Seq Reveals Naïve B cells Associated with Better Prognosis of HCC

Hepatocellular Carcinoma (HCC) is a type of malignant solid tumor, causing high morbidity and mortality around the world and the major portion of HCC patients is from China. Cancer immunotherapies have shown some clinical responses in treating some types of cancer but did not shown significant efficiency in HCC treatment. This in part due to the impact of immune cells in the tumor microenvironment. It is commonly believed that HCC is a heterogeneous solid tumor and the microenvironment of HCC plays an important role in tumorgenesis and development. Currently, the residents of the microenvironment of HCC is not well-defined and clarification, especially the immune cells, which we believe that paly pivotal roles in tumorgenesis and development. To depict the landscape of the composition, lineage and functional states of the immune cells in HCC, we performed single-cell RNA sequencing on Diethylnitrosamine (DEN)-induced mouse HCC model. We observed heterogeneity within the immune and hepatocytes both in the precancerous condition of tumorigenesis and cancerous condition of HCC. In this study we found that the disease-associated changes appeared early in pathological progression and were highly cell-type specific. Specific subsets of T and B cells preferentially enriched in HCC, and we identified signature genes for each subset. Additionally, we mapped this group of specific cells to the human TCGA database. We found a cluster of naive B cells characterized by high expression of CD38 associated with better prognosis of human HCC. Our study demonstrates signaling interaction map based on receptor-ligand bonding on the single-cell level could broaden our comprehending of cellular networks in varies status. Our finding provides a new approach for patient stratification and will help further understand the functional states, dynamics and signaling interaction of B cells in hepatocellular carcinoma, and may provide a novel insight and therapeutics for the HCC.

cancer biology↗

bioRxiv2019

More Severe Loss-of-Function Sodium Channel induced by Compound SCN5A R965C and R1309H Mutants lead to Complex Familial Arrhythmia Syndrome.

[Abstract]O_ST_ABSObjectiveC_ST_ABSA complex familial arrhythmia syndrome was identified in a Chinese Han family, characterized by sick sinus syndrome, progressive conduction block, atrial fibrillation, atrial standstill and Brugada syndrome. The underlying mechanism associated with the genetic mutation was investigated.\n\nMethodsGenetic analysis was conducted for probands in the coding and splicing regions of genes susceptible to cardiac arrhythmia diseases. The stable cell lines overexpressing wild-type (WT) or mutant SCN5A gene were generated in HEK293T cells and electrophysiological recordings were performed to evaluate the functional changes of mutant NaV1.5 channels.\n\nResultsWe identified a rare double R965C and R1309H mutations in NaV1.5 channel, as a heterozygous and compound pattern, locating in the same chromosome. Compared to WT, a single mutation of R965C or R1309H, the compound mutations of R965C-R1309H most dramatically reduced the peak current of NaV1.5 channel with testing potentials ranging from -35 mV to 25 mV. Notably, the maximal peak current of NaV1.5 channel carrying R1309H only and R965C-R1309H mutations displayed significant decreases by 31.5% and 73.34%, respectively, compared to WT. Additionally, compared to single mutations of R965C or R1309H, the R965C-R1309H mutations resulted in more obviously depolarization-shifted activation and hyperpolarization-shifted inactivation, also caused most significantly changed time constant, V1/2 and slope factor of activation and inactivation.\n\nConclusionsThe compound mutations of R965C-R1309H led to more dramatically reduced current density of Nav1.5 channel, as well as more depolarization-shifted activation and hyperpolarization-shifted inactivation than single mutation of R965C or R1309H, which may provide more understanding on the molecular mechanisms underlying the familial arrhythmia syndrome.\n\nAuthor summarySeveral limited types of research about the interaction of compound mutations and the mechanism of interaction remains controversial. Here we report a novel compound mutation R965C-R1309H in SCN5A gene.The compound mutations of R965C-R1309H markedly reduced the Na+ current density of Nav1.5 channel and caused significant depolarization-shifted activation and hyperpolarization-shifted inactivation, suggesting that R965C mutation aggravated the pore gating changes of sodium channel containing R1309H mutation. The R965C located in the S4-like region in the intracellular loop between DII and DIII, and the R1309H located in the S4 helix of DIII as voltage sensor, which thus potentially had synergistic and interacting effects on pore gating properties of the sodium channel. Additionally, the complex familial arrhythmia syndrome simultaneously complicated of early young onset of arrhythmia and harmful prognosis of recurrent ischemic cerebral stroke, even though effective Warfarin anticoagulation.

genetics↗

bioRxiv2019

Isolation of a putative S-layer protein from anammox biofilm extracellular matrix using ionic liquid extraction

Anaerobic ammonium oxidation (anammox) performing bacteria self-assemble into compact biofilms by expressing extracellular polymeric substances (EPS). Anammox EPS are poorly characterized, largely due to their low solubility in typical aqueous solvents. Pronase digestion achieved 19.5 {+/-} 0.9 and 41.4 {+/-} 1.4% (w/w) more solubilization of Candidatus Brocadia sinica-enriched anammox granules than DNase and amylase respectively. Nuclear magnetic resonance profiling of the granules confirmed that proteins were dominant. We applied ionic liquid (IL) 1-ethyl-3-methylimidazolium acetate and N,N- dimethylacetamide (EMIM-Ac/DMAc) mixture to extract the major structural proteins. Further treatment by anion exchange chromatography isolated homologous S/T-rich proteins BROSI_A1236 and UZ01_01563, which were major components of the extracted proteins and sequentially highly similar to putative anammox surface-layer (S-layer) protein KUSTD1514. EMIM-Ac/DMAc extraction enriched for these putative S-layer proteins against all other major proteins, along with six monosaccharides (i.e. arabinose, xylose, rhamnose, fucose, galactose and mannose). The sugars, however, contributed <0.5% (w/w) of total granular biomass, and were likely co-enriched as glycoprotein appendages. This study demonstrates that S-layer proteins are major constituents of anammox biofilms and can be isolated from the matrix using an ionic liquid-based solvent.

bioengineering↗

bioRxiv2019

Liquid-liquid phase separation and fibrillization of tau are independent processes with overlapping conditions

Amyloid aggregation of the microtubule binding protein tau is a hallmark of Alzheimers disease and many other neurodegenerative diseases. Recently, tau has been found to undergo liquid-liquid phase separation (LLPS) near physiological conditions. Although LLPS and aggregation have been shown to simultaneously occur under certain common conditions, it remains to be seen whether tau LLPS promotes aggregation, or if they are two independent processes. In this study, we address this question by combining multiple biochemical and biophysical assays in vitro. We investigated the impacts of LLPS on tau aggregation at three stages: conformation of tau, kinetics of aggregation and fibril quantity. We showed that none of these properties are influenced directly by LLPS, while amyloid aggregation propensity of tau can be altered without affecting its LLPS behavior. LLPS and amyloid aggregation of tau occur under overlapping conditions of enhanced intermolecular interactions and localization, but are two independent processes.

biophysics↗

bioRxiv2019

Crosstalk between eIF2α and eEF2 phosphorylation pathways optimizes translational arrest in response to oxidative stress

The cellular stress response triggers a cascade of events leading to transcriptional reprogramming and a transient inhibition of global protein synthesis, which is thought to be mediated by phosphorylation of eukaryotic initiation factor-2 (eIF2). Using mouse embryonic fibroblasts (MEFs) and the fission yeast S. pombe, we report here that rapid translational arrest and cell survival in response to hydrogen peroxide-induced oxidative stress do not rely on eIF2 kinases and eIF2 phosphorylation. Rather H2O2 induces a block in elongation through phosphorylation of eukaryotic elongation factor 2 (eEF2). Kinetic and dose-response analyses uncovered crosstalk between the eIF2 and eEF2 phosphorylation pathways, indicating that, in MEFs, eEF2 phosphorylation initiates the acute shutdown in translation, which is then maintained by eIF2 phosphorylation. Our results challenge the common conception that eIF2 phosphorylation is the primary trigger of translational arrest in response to oxidative stress and point to integrated control that may facilitate the survival of cancer cells.\n\nHIGHLIGHTSO_LIOxidative stress-induced translation arrest is independent of eIF2 phosphorylation\nC_LIO_LIOxidative stress blocks translation elongation\nC_LIO_LIOxidative stress triggers eEF2 kinase activation\nC_LIO_LIeEF2K KO cells are hypersensitive to oxidative stress\nC_LI

cell biology↗

bioRxiv2019

Recombinant Expression of Aldehyde Dehydrogenase 2 (ALDH2) in Escherichia coli Nissle 1917 for Oral Delivery in ALDH2-Deficient Individuals

Turning red after consuming alcohol may seem like a mere social inconvenience. Yet, this flushing response is caused by an accumulation of acetaldehyde, a carcinogenic intermediate of alcohol metabolism. Aldehyde dehydrogenase 2 (ALDH2) deficiency, the result of a point mutation, produces a less efficient ALDH2. The resulting accumulation of acetaldehyde greatly increases the risk of developing esophageal and head and neck cancers. In this study, we produced recombinant ALDH2 in the probiotic E. coli Nissle 1917, which successfully reduces acetaldehyde levels in simulated oral conditions. Packaged in a hard candy, the ALDH2-probiotic would remain in the mouth to specifically target salivary acetaldehyde. Using mathematical modeling, we also determined how much recombinant ALDH2 is needed to reduce elevated acetaldehyde levels.\n\nFinancial DisclosureThis work was funded by Taipei American School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.\n\nCompeting InterestsThe authors have declared that no competing interests exist.\n\nEthics StatementN/A\n\nData AvailabilityYes - all data are fully available without restriction. Sequences for the plasmids used in this study are available through the Registry of Standard Biological Parts. Links to raw data are included in Supplementary Information.

synthetic biology↗

bioRxiv2019

Differentiation of Urine-Derived Induced Pluripotent Stem Cells to Neuron, Astrocyte and Microvascular Endothelial Cells from a Diabetic Patient

BackgroundComplications of central nervous system (CNS) in type 2 diabetes mellitus (T2DM) often lead to cognitive impairment and seriously affect the quality of life. However, there is no individualized disease model. Urinary epithelial cells (UECs) can be an ideal source for generating human induced pluripotent stem cells (hiPSCs) and progenitors, as they are easily accessible, non-invasive and universally available. Therefore, we intended to differentiate urine-derived hiPSCs into neuron (N), astrocyte (A) and microvascular endothelial cells (E) from a T2DM patient for future study its pathogenesis and precision medical treatment.\n\nMethods and ResultshiPSCs was successfully induced from UECs using integration free Sendai virus technology in a totally noninvasive manner. It had a normal karyotype (46, XY) and were proved to be pluripotent by immunofluorescence staining, alkaline phosphatase staining, karyotyping, teratoma experiments and methylated analysis. N, A and E were successfully induced and displayed typical morphological characteristics.\n\nConclusionsThis study indicates that N, A, E can be generated from urine-derived hiPSCs. Then we intend to create a new disease model in vitro to simulate the cerebral microenvironment of DM which will provide new methods for further investigate the disease-specific mechanisms.

cell biology↗

bioRxiv2019

eIF3 promotes early translation elongation to ensure mitochondrial homeostasis and skeletal muscle health

eIF3 is a multi-subunit complex with numerous functions in canonical translation initiation. eIF3 was also found to interact with 40S and 60S ribosomal proteins and translation elongation factors, but a direct involvement in translation elongation has never been demonstrated. We found that eIF3 deficiency reduced early ribosomal elongation speed between codons 25 and 75 on a set of [~]2,700 mRNAs encoding proteins associated with mitochondrial and membrane functions, resulting in defective synthesis of their encoded proteins. To promote elongation, eIF3 interacts with 80S ribosomes translating the first [~]60 codons and serves to recruit protein quality control factors, functions required for normal mitochondrial physiology. Accordingly, eIF3e+/- mice accumulate defective mitochondria in skeletal muscle and show a progressive decline in muscle strength. Hence, eIF3 interacts with 80S ribosomes to enhance, at the level of early elongation, the synthesis of proteins with membrane-associated functions, an activity that is critical for mitochondrial physiology and muscle health.

cell biology↗