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Yan, D.

Publications and source records attributed to Yan, D..

At least 19 recordsLinked to original sources

Decoding Immune Reconstitution Failure in People Living with HIV through Single-cell Genomics

Immune non-responders (INRs), a subset of people living with HIV (PLWH), fail to achieve full immune reconstitution and remain at increased risk of morbidity, mortality, and non-AIDS-related illnesses. As the mechanisms underlying this impaired immune recovery remain poorly understood, we performed single-cell multi-omics profiling on peripheral blood mononuclear cells from 43 INRs, 47 immune responders and 53 healthy donors. Our dataset comprises 2,744,009 transcriptomes and 1,226,658 chromatin-accessibility profiles across 58 identified immune cell types. INRs exhibited markedly elevated inflammatory signaling, increased apoptotic activity, and dysregulation of immune-activating ligand-receptor interactions. Additionally, we identified 2,996 interaction cis-eGenes and 5,938 cis-caPeaks, and validated key cell type-specific cis-xQTL effects associated with immune reconstitution failure. Furthermore, we identified 3,551 sc-eQTLs and 872 cell-state interaction eQTLs (ieQTLs) in CD4+ T cells. A genotype-specific upregulation of OAS3 in INRs, likely regulated by STAT1, was identified based on these results. We developed scPRISM (single cell Predictive Reconstitution Immune Status Model), a multi-modal framework that integrates scRNA-seq and scATAC-seq data to perform the dual tasks of differentiating disease states and predicting gene expression from chromatin accessibility, thereby deciphering the cell type-specific cis-regulatory basis of the disease. Our study delineates the transcriptional and epigenomic landscape of immune dysregulation in INRs and provides new genetic insights into HIV-associated immune reconstitution failure. These findings offer a foundation for developing biomarkers and precision therapies to restore immune function in PLWH.

genetics↗

Developmental Elimination of Electrical Synapses by UNC-51/UNC-76-Mediated Vesicular Transport

Neural circuit maturation requires precise elimination of transient synaptic connections, but how electrical synapses are eliminated remains unknown. Using C. elegans PLM mechanosensory neurons, we found that gap junctions form transiently during early development and are subsequently eliminated as the circuit matures. These transient electrical synapses drive high-frequency calcium oscillations, and optogenetic ablation of early gap junctions abolishes calcium dynamics and disrupts chemical synapse formation, demonstrating their critical developmental function. Through forward genetic screening, we identified the conserved kinase UNC-51/ULK as essential for elimination. UNC-51 phosphorylates the kinesin adaptor UNC-76/FEZ to initiate RAB-10-dependent retrograde trafficking, progressively depleting innexin proteins from the synaptic site. Disrupting this pathway prevents elimination, causing persistent electrical synapses and neuronal hyperactivity. These findings establish a conserved framework for developmental elimination of functionally essential transient electrical connectivity.

cell biology↗

Mitochondria Organize Gap Junctions to Enable Neural Circuit Scaling

Neural circuits must maintain function during dramatic growth-driven expansion. While chemical synapses can be independently reorganized in pre- and postsynaptic neurons, gap junctions physically couple partner cells, requiring coordinated spatial redistribution--a process whose mechanisms remain unknown. Using the C. elegans mechanosensory circuit, we show that gap junctions undergo stereotyped developmental reorganization, transitioning from clustered to dispersed configurations as partner neurites elongate. Forward genetic screening identified RIC-7, a mitochondrial adaptor protein, as essential for this redistribution. Loss of RIC-7 prevents gap junction dispersal, trapping partner neurites at clustered sites and severely impairing electrical transmission. Mechanistically, RIC-7 directs mitochondrial positioning to gap junctions, where mitochondria recruit the microtubule-organizing component PTRN-1 to locally enhance microtubule dynamics. Disrupting mitochondrial transport (miro-1;mtx-2 mutants) or PTRN-1 function phenocopies ric-7 defects, while metabolic dysfunction does not, establishing a non-metabolic role for mitochondria in organizing synaptic architecture. Remarkably, RIC-7 expression in one neuron alone suffices to restore gap junction and partner neurite distribution across both coupled cells. Structural modeling suggests mechanical adhesion between docked hemichannels enables this coordinated reorganization. These findings establish mitochondria as mobile organizers of synaptic spatial architecture, demonstrate that proper junction distribution is essential for electrical transmission efficacy, and reveal how cell-autonomous mechanisms can achieve bilateral structural coordination during circuit growth.

neuroscience↗

Injury-induced nuclear export of RNA-binding proteins drives mRNA stabilization and translation to promote dendrite regeneration

Dendrite regeneration is critical for restoring neuronal connectivity after injury, yet the underlying molecular mechanisms remain poorly understood. Using C. elegans as a model and through a forward genetic screen, we identified the conserved insulin degrading enzyme idr-1 and the RNA-binding protein rbm-42 as key regulators of dendrite regeneration, where idr-1 functions upstream of rbm-42. We further show that ced-7, one of the core components of the phagocytosis pathway, acting down stream of rbm-42, while other components of this pathway dont play significant roles in dendrite regeneration. In addition, we demonstrate that upon injury IDR-1 can promote RBM-42 nuclear export following injury, enabling its dendritic localization. RBM-42, in turn, promotes the translation of ced-7 and facilitates microtubule assembly. In conclusion, our findings define a novel conserved signaling cascade coupling injury-induced nuclear export of RNA binding proteins to local regulation and dendrite regeneration, providing new mechanistic insight into neuronal repair.

neuroscience↗

Structural and functional insights into QueC-family protein in QatABCD anti-phage system

QatABCD is a widespread prokaryotic anti-phage defense system comprising four protein components, out of which QatC, a QueC-family protein is the signature component. QueC family proteins are nucleoside biosynthesis enzymes involved in the biosynthesis of queuosine, a 7-deazaguanine derivative. Recently, QueC-family proteins were shown to catalyze a deazaguanylation protein-nucleobase conjugation reaction in type IV CBASS antiphage defense. However, the mechanism of QatABCD, even the function of QatC in this system, remains unknown. Here, we demonstrate that QatBCD forms a complex in which QatD is highly flexible. Crystal structures of the QatBC complex in apo and ATP-bound form support a shared role for QueC-family proteins in targeting protein substrates for N-terminal modification as in type IV CBASS. We show that the QatB N-terminal loop, its binding with QatC and QatC catalytic site are essential for QatABCD defense in vivo, suggesting a modification might occur analogous to CBASS. These findings provide structural and functional insights into QueC-family protein in QatABCD system, suggesting the conserved mechanisms and critical roles of QueC-family in prokaryotic immunity.

biochemistry↗

Recruitment of the outer-membrane lipoprotein DolP to thedivision site via cardiolipin-mediated diffusion-stateswitching

In diderm bacteria, the outer membrane (OM) must invaginate in step with septal peptidoglycan (PG) remodeling during cytokinesis. One OM lipoprotein, DolP, has been shown to localize at the cell division site and to facilitate the daughter cell separation. Yet how DolP is recruited to the division site remains unclear at the molecular level. Here, we show that DolP arrives concomitantly with the late divisome protein FtsN. Utilizing single-particle tracking Photoactivated Localization Microscopy (spt-PALM), we investigated the dynamics of individual DolP molecules in living Escherichia coli cells. Single-molecule analysis revealed two diffusion states: a diffusive state across the cell envelope and a previously underappreciated immobile state enriched at the septal and polar regions. Importantly, DolP does not comigrate with the processive FtsW-FtsI-FtsN complex. Mutations of the cardiolipin-binding surface caused loss of mid-cell enrichment and reduced the immobile fraction. Cardiolipins preference for high negative curvature enriches it at the division site, creating a trapping environment for DolP. Additionally, the active septal constriction but not the late divisome proteins recruit DolP. Together, these findings indicate that cardiolipin-mediated immobilization underlies DolPs septal enrichment.

microbiology↗

Neutrophil extracellular traps-mediated thrombosis drive pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome

Hepatic sinusoidal obstruction syndrome (HSOS) caused by pyrrolizidine alkaloid (PA) is a life-threatening disease with limited treatments, yet the initiating vascular event remains undefined. Neutrophil extracellular traps (NETs), as key driver of immunothrombosis in various thromboinflammatory diseases, may represent a critical yet uncharacterized component in the pathogenesis of PA-HSOS. Rats and mice were separately administered monocrotaline (MCT) or senecionine (SEN) via gavage to induce HSOS. Human hepatic sinusoidal endothelial cell (HHSEC) and primary human neutrophil treated with MCT, SEN, or corresponding metabolites were used as in vitro models. In separate experiments, animals received a neutrophil elastase (NE) inhibitor or neutrophil-depleting antibody to evaluate the contribution of NETs. We detected NETs within the sinusoids of necrotic liver lobes, as evidenced by robust immunostaining for NETs markers, accompanied with elevated level of circulating cell-free DNA, and hepatic citrullinated histone H3. Sinusoidal microthrombi containing VWF, CD41, and fibrin(ogen) were also stained positive for neutrophils in PA-HSOS models. Treatment with NE inhibitor or neutrophil depletion markedly attenuated PA-induced liver injury by concomitantly suppressing NETs formation and intrahepatic thrombogenesis. In vitro, conditioned medium from HHSEC exposed to MCT or SEN metabolites potently induced NETs formation. HHSEC injured by PA metabolites released CXCL8. Furthermore, hepatic mRNA and protein levels of CXCL1 and CXCL2 (murine homologous to human CXCL8) were up-regulated in PA-HSOS models, accompanied by a parallel elevation of their high-affinity receptors, CXCR1 and CXCR2. Our study identifies NETs-mediated immunothrombosis as a key driver in HSOS, which provides a promising target for PA-HSOS treatment.

pharmacology and toxicology↗

High-Power Dual-Channel Chamber for High-Frequency Magnetic Neuromodulation

ObjectiveSeveral novel methods, including magnetogenetics and magnetoelectric stimulation, use high frequency alternating magnetic fields to precisely manipulate neural activity. To quantify the behavioral effects of such interventions in a freely moving mouse, we developed a dual-channel magnetic chamber, specifically designed for rate-sensitive magnetothermal-genetic stimulation, and adaptable for other uses of alternating magnetic fields. ApproachThrough an optimized coil design, the system allows independent control of two spatially orthogonal uniform magnetic fields delivered at different frequencies within a 10 x 10 x 6 cm3 chamber suitable for mouse studies. The two channels have nominal frequencies of 50 and 550 kHz with peak magnetic field strengths of 88 and 12.5 mT, achieved with resonant coil drives having peak voltages of 1.6 and 1.8 kV and currents of 1.0 and 0.26 kA, respectively. Additionally, a liquid cooling system enables magnetic field generation for second-level durations, and an observation port and camera allow video capture of the animals behavior within the chamber. Main ResultsThe system generates high-amplitude magnetic fields across two widely separated frequency channels with negligible interference (< 1%). Relatively uniform magnetic field distribution ({+/-}10% across 94% of the chamber volume) is maintained throughout the chamber, and temperature increase of the inner side of the coil enclosure during the operation is limited to < 0.35 {degrees}C/s to ensure in vivo safety. Using cobalt-doped and undoped iron oxide nanoparticles, we demonstrate channel-specific heating rates of 3.5 {degrees}C/s and 1.5 {degrees}C/s, respectively, validating frequency-selectivity. Both channels can run continuously for 4 seconds stably. SignificanceWe present a novel magnetic stimulation platform that combines high-frequency, high-power capability with two independently-controlled channels generating different frequencies, along with a real-time behavioral observation system for freely moving animals. The system supports frequency-multiplexed stimulation strategies for precise modulation of neural activity, making it a versatile tool for advancing magnetogenetics, neural circuit interrogation, and noninvasive stimulation approaches in neuroscience and bioengineering.

bioengineering↗

Pleistocene demographic histories dominate contemporary genomic diversity in a continental radiation of Himalayan-Hengduan songbirds

While population genetic theory expects genetic diversity to scale predictably with population size, mounting empirical evidence has challenged this fundamental prediction. This striking inconsistency has prompted a paradigm shift in our understanding of the determinants of genetic diversity, driving increased efforts to disentangle the relative contributions of Pleistocene demography and linked selection. Here, based on systematic sampling and a unified analytical pipeline, we de novo assembled genomes for 120 songbird species breeding in the Himalayas-Hengduan Mountains (HHMs) and conducted population genomic analysis to examine the drivers of their genomic diversity. We observed a 6.5-fold variation in genome-wide heterogeneity and a 16.4-fold variation nucleotide diversity and across species. Notably, these measures of genomic diversity showed no correlation with recent population dynamics, current population size, or other contemporary factors--such as natural selection, elevational distribution, or life-history traits. Instead, historical demography strongly predicted genetic diversity, with ancestral population size during the late Pleistocene emerging as the sole correlate: larger ancestral sizes consistently coincided with higher diversity. These findings underscore the critical influence of historical demography on contemporary genetic diversity in natural populations--an insight essential for designing effective conservation strategies.

genetics↗

Systemic Inflammation Modulates Clearance and drives Extra-Hepatic Distribution of Extracellular Vesicles

Extracellular vesicles (EVs) are promising vehicles for targeted therapeutic delivery, capable of encapsulating and transporting biomolecules to specific cells and tissues. Given that inflammation is central to many acute and chronic diseases, understanding EV biodistribution under inflammatory conditions is essential for therapeutic optimization. This study examines how acute systemic inflammation influences EV biodistribution, clearance, and plasma half-life, with a focus on the role of macrophages and their polarization states. Using a lipopolysaccharide (LPS)-induced inflammation model in wild-type mice and bioluminescent and fluorescent labelling of EVs, we observed that inflammation extends the plasma half-life of EVs by over 600-fold within 2 hours and 900-fold at 24 hours post-administration, leading to significant enrichment in inflamed organs, particularly the liver and spleen. Enhanced accumulation in specific tissues translated to increased targeting of immune- and epithelial cells within those organs, with notable uptake by hepatocytes in the liver. This prolonged half-life was attributed to the altered EV protein corona in inflamed tissues, which facilitates cellular association. These findings underscore the complex dynamics between EVs and immune cells under inflammatory conditions and provide critical insights for advancing EV-based therapies in chronic inflammatory diseases.

bioengineering↗

Expression of β-catenin, LEF-1, MMP7 and SFRP5 associated with poor outcome in pancreatic cancer

Pancreatic cancer is highly aggressive and lethal malignancies worldwide. {beta}-catenin, LEF-1, MMP7 and SFRP5 are key regulatory proteins in the Wnt signaling pathway. It has been confirmed that Wnt signaling pathway is involved in the biological regulation of pancreatic cancer cells and plays an important role. However, its effect on the malignant phenotypes of pancreatic cancer cell and the corresponding molecular details remains unknown. In the current study, the expression of {beta}-catenin, LEF-1 and MMP7 was up-regulated and the expression of SFRP5 was down-regulated in pancreatic cancer cell lines and tissues by RNA sequencing, quantitative PCR (qPCR) and immunohistochemical analysis. {beta}-catenin, LEF-1 and MMP7 positive expression correlates with poor prognosis in PDAC patients, and SFRP5 positive expression correlates with longer survival times. Subsequently r software was used to establish a rosette model to predict the prognosis of pancreatic cancer according to the results of multi-factor analysis. After statistical analysis, age, CA-199, {beta}-catenin, MMP7 and SFRP5 could serve as promising biomarkers for predicting prognosis in PDAC patients. This study also suggests that survival probability of patients can be reliably predicted by a nomogram-based method.

cancer biology↗

Decisional reference point pathology: a mechanism and marker for major depressive disorder in humans

The decisional reference point, the central mechanism of behavioral economics, conditions our evaluations of reinforcers. It determines whether a given event is experienced as positive or negative. Here we show, for the first time, a significant and pathological elevation of the reference point in patients with depression that correlates with disease severity. We also show that the mechanism for reference point setting is profoundly impaired in patients with depression. These findings link the previously demonstrated treatment of depression by deep brain stimulation to modulation of the reference point in the anterior cingulate cortex and identify pathology in the dynamics of reference point setting as a novel mechanism in the disorder. Finally, these results lay the foundation for a three-minute virtual diagnostic test for depression.

neuroscience↗

Targeted BDNF upregulation via upstream open reading frame disruption

To understand the relative contributions of 5' UTR elements to translation, we performed a comprehensive analysis of upstream open reading frames (uORFs) across a representative 5' UTR. We selected the neurotrophin BDNF (Brain derived neurotrophic factor) as an exemplar as upregulation of this protein is a potential therapeutic approach for a plethora of neurodevelopmental, neurodegenerative, and neuropsychiatric disorder indications. Predicted uORFs were identified in 14 out of 17 BDNF RefSeq transcript isoforms, and experimentally confirmed to be exerting translation repression effects for five of these transcripts. These findings suggest that uORF elements play an important role in shaping the protein output from this locus. We explored several approaches to disrupt BDNF uORF function. Deletion of a 5' UTR exon in BDNF v11 (containing eight predicted uORFs), in order to simulate an exon skipping outcome, resulted in pronounced upregulation in a reporter construct system. This effect was found to be partially uORF-dependent, but was also dependent on the disruption of an RNA secondary structure element. However, this transcript variant was found to not be expressed in human brain. Conversely, direct disruption of a single uORF start codon in the widely expressed BDNF v4 transcript variant using an adenine base editing approach resulted in a [~]1.8-fold upregulation of endogenous BDNF protein expression in cell culture. This study describes novel BDNF regulatory mechanisms, and potential uORF-targeted modalities for therapeutic gene activation.

molecular biology↗

Interpretable adenylation domain specificity prediction using protein language models

Natural products have long been a rich source of diverse and clinically effective drug candidates. Non-ribosomal peptides (NRPs), polyketides (PKs), and NRP-PK hybrids are three classes of natural products that display a broad range of bioactivities, including antibiotic, antifungal, anticancer, and immunosuppressant activities. However, discovering these compounds through traditional bioactivity-guided techniques is costly and time-consuming, often resulting in the rediscovery of known molecules. Consequently, genome mining has emerged as a high-throughput strategy to screen hundreds of thousands of microbial genomes to identify their potential to produce novel natural products. Adenylation domains play a key role in the biosynthesis of NRPs and NRP-PKs by recruiting substrates to incrementally build the final structure. We propose MASPR, a machine learning method that leverages protein language models for accurate and interpretable predictions of A-domain substrate specificities. MASPR demonstrates superior accuracy and generalization over existing methods and is capable of predicting substrates not present in its training data, or zero-shot classification. We use MASPR to develop Seq2Hybrid, an efficient algorithm to predict the structure of hybrid NRP-PK natural products from microbial genomes. Using Seq2Hybrid, we propose putative biosynthetic gene clusters for the orphan natural products Octaminomycin A, Dityromycin, SW-163B, and JBIR-39.

bioinformatics↗

ZapA employs a two-pronged mechanism to facilitate Z ring formation in Escherichia coli

The tubulin-like protein FtsZ assembles into the Z ring which leads to the assembly and activation of the division machinery in most bacteria. ZapA, a widely conserved protein that interacts with FtsZ, plays a pivotal role in organizing FtsZ filaments into a coherent Z ring. Previous studies revealed that ZapA forms a dumbbell-like tetramer that binds cooperatively to FtsZ filaments and aligns them in parallel, leading to the straightening and organization of FtsZ filament bundles. However, how ZapA interacts with FtsZ remains obscure. In this study, we uncover how ZapA interacts with FtsZ to facilitate Z ring formation in Escherichia coli. We find that mutations affecting surface exposed residues at the junction between adjacent FtsZ subunits in a filament as well as in an N-terminal motif of FtsZ weaken its interaction with ZapA in vivo and in vitro, indicating that ZapA binds to these regions of FtsZ. Consistent with this, ZapA prefers FtsZ polymers over monomeric FtsZ molecules and site-specific crosslinking confirmed that the dimer head domain of ZapA is in contact with the junction of FtsZ subunits. As a result, disruption of the putative interaction interfaces between FtsZ and ZapA abolishes the midcell localization of ZapA. Taken together, our results suggest that ZapA tetramers grab the N-terminal tails of FtsZ and then bind to the junctions between FtsZ subunits in the filament to straighten and crosslink parallel FtsZ filaments into the Z ring. SignificanceZapA is a widely conserved FtsZ-associated protein that promotes the organization of the Z ring, the key cytoskeletal element in the bacterial divisome. Although ZapA is known to crosslink FtsZ filaments, how it interacts with FtsZ remains enigmatic. In this study, we find that E. coli ZapA utilizes a dual binding mode in which it binds the junction between FtsZ subunits in a filament and to an N-terminal motif in FtsZ so that it can straighten and crosslink parallel FtsZ filaments simultaneously. Since the junction is formed when FtsZ polymerizes and falls apart when FtsZ depolymerizes, this interaction mode indicates that ZapA employs the polymerization dynamics of FtsZ to organize the filaments into the Z ring.

microbiology↗

An adaptive autoregressive diffusion approach to design active humanized antibody and nanobody

Humanization is a critical process for designing efficiently specific antibodies and nanobodies prior to clinical trials. Developing widely recognized deep learning techniques or frameworks for humanizing conventional antibodies and nanobodies presents a valuable yet challenging task. Inspired by the effectiveness of diffusion models across various applications, we introduce HuDiff, an adaptive diffusion approach for humanizing antibodies and nanobodies from scratch, referred to as HuDiff-Ab and HuDiff-Nb, respectively. This approach begins the humanization process exclusively with complementarity-determining region (CDR) sequences, eliminating the need for humanized templates. On public benchmark datasets, the results of HuDiff-Abs humanized antibodies are more similar to experimentally humanized antibodies than to those of the Sapiens humanization model. Besides, humanized nanobodies produced by HuDiff-Nb exhibit a higher humanness score and greater nativeness than those generated by the Lammanade pipeline for humanization nanobody. We apply HuDiff to humanize a mouse antibody and an alpaca nanobody, both targeting the SARS-CoV-2 RBD, and validate the binding affinity of humanized sequences through Bio-Layer Interferometry (BLI) experiments. The results show the binding affinity of the best humanized antibody is nearly equal to that of the parental mouse antibody (0.15 nM vs. 0.12 nM). Remarkably, the top-performing humanized nanobody exhibits a significantly enhanced binding affinity compared to the parental alpaca nanobody (2.52 nM vs. 5.47 nM), representing a 54% increase. These findings indicate that our approach HuDiff is highly effective in enhancing the humanness of antibodies and nanobodies while maintaining or potentially improving the binding affinity of the designed humanized sequences. The code and checkpoints of HuDiff are available at https://github.com/TencentAI4S/HuDiff.

bioinformatics↗

Capillary-scale Microvessel Imaging with High-frequency Ultrasound Localization Microscopy in Mouse Brain

Ultrasound localization microscopy is a super-resolution vascular imaging technique which has garnered substantial interest as a tool for small animal neuroimaging, neuroscience research, and the characterization of vascular pathologies. In the pursuit of increasingly high-fidelity reconstructions of microvasculature, there remains several outstanding questions concerning this sub-diffraction imaging technology, including the accurate reconstruction of microvessels approaching the capillary scale and the pragmatic challenges associated with long data acquisition times. In the context of small animal neurovascular imaging, we posit that increasing the ultrasound imaging frequency is a straightforward approach to enable higher concentrations of microbubble contrast agents, thus increasing the likelihood of microvascular/capillary mapping and decreasing the imaging duration. We demonstrate that higher frequency imaging results in improved ULM fidelity and more efficient microbubble localization due to a smaller microbubble point-spread function that is easier to localize, and which can achieve a higher localizable concentration within the same unit volume of tissue. A select example of in vivo capillary-level vascular reconstruction is demonstrated for the highest frequency imaging probe, which has substantial implications for neuroscientists investigating microvascular function in disease states, regulation, and brain development. High frequency ULM yielding a spatial resolution of 7.1m, as measured by Fourier ring correlation, throughout the entire depth of the brain, highlighting this technology as a highly relevant tool for neuroimaging research.

neuroscience↗

Co-transcriptional RNA processing boosts zygotic gene activation

Transcription decodes protein-coding genes and interprets regulatory information embedded in the genome by generating RNA. In eukaryotes, gene transcription is coupled with RNA processing via the carboxyl terminal domain (CTD) of RNA polymerase (Pol) II, which enhances messenger RNA (mRNA) production. We propose that co-transcriptional RNA processing is essential for zygotic gene activation (ZGA), transitioning the transcription program from noncoding to protein-coding after fertilization. Truncating the CTD in mouse cells disrupts this coupling, halting global mRNA synthesis and increasing noncoding RNA (ncRNA) levels through enhanced intergenic transcription and RNA stabilization. CTD truncation also triggers epigenetic reprogramming and nuclear reorganization towards totipotency, resembling early cleavage embryos. Mechanistically, the CTD restrains nonproductive polymerase activity in noncoding sequences, while at protein-coding genes requiring RNA processing, it promotes elongation by facilitating polymerase promoter-proximal pausing, transcription directionality, and velocity. Longer CTD lengths enhance gene activity, likely evolving to accommodate the increasing noncoding sequences in mammalian genomes.

developmental biology↗