Biology subjects

Diao, H.

Publications and source records attributed to Diao, H..

5 recordsLinked to original sources

bioRxiv2023

De novo design and optimization of aptamers with AptaDiff

Aptamers are single-stranded nucleic acid ligands, featuring high affinity and specificity to target molecules. Traditionally they are identified from large DNA/RNA libraries using in vitro methods, like Systematic Evolution of Ligands by Exponential Enrichment (SELEX). However, these libraries capture only a small fraction of theoretical sequence space, and various aptamer candidates are constrained by actual sequencing capabilities from the experiment. Addressing this, we proposed AptaDiff, the first in silico aptamer design and optimization method based on the diffusion model. Our Aptadiff can generate aptamers beyond the constraints of high-throughput sequencing data, leveraging motif-dependent latent embeddings from variational autoencoder, and can optimize aptamers by affinity-guided aptamer generation according to Bayesian optimization. Comparative evaluations revealed AptaDiffs superiority over existing aptamer generation methods in terms of quality and fidelity across four high-throughput screening data targeting distinct proteins. Moreover, Surface Plasmon Resonance (SPR) experiments were conducted to validate the binding affinity of aptamers generated through Bayesian optimization for two target proteins. The results unveiled a significant boost of 87.9% and 60.2% in RU values, along with a 3.6-fold and 2.4-fold decrease in KD values for the respective target proteins. Notably, the optimized aptamers demonstrated superior binding affinity compared to top experimental candidates selected through SELEX, underscoring the promising outcomes of our AptaDiff in accelerating the discovery of superior aptamers. Key PointsO_LIWe proposed AptaDiff, the first in silico aptamer design method based on the diffusion model. Aptadiff can generate aptamers beyond the constraints of high-throughput sequencing data. C_LIO_LIAptadiff can optimize aptamers through affinity-guided generation via Bayesian optimization within a motif-dependent latent space, and the affinity of the optimized aptamers to the target protein is better than the best experimental candidate from traditional SELEX screening. C_LIO_LIAptadiff consistently outperforms the current state-of-the-art method in terms of quality and fidelity across high-throughput screening data targeting distinct proteins. C_LI

bioinformatics↗

bioRxiv2023

Mixed Lineage Leukemia (Mll1) establishes global histone H3K4 trimethylation and stem like memory Cd8 T cell formation

CD8+ T cells with stem cell-like properties (TSCM) sustain adaptive immunity to intracellular pathogens and tumors. However, the developmental origins and chromatin regulatory factors (CRFs) that establish their differentiation are unclear. Using an RNA interference screen of all CRFs we discovered the histone methylase Mll1 was required during T cell receptor (TCR) stimulation for development of a TSCM precursor state and mature memory (TMEM) cells, but not short-lived or transitory effector cell-like states, in response to viral infections and tumors. Mll1 was essential for widespread de novo deposition of histone H3 lysine 4 trimethylation (H3K4me3) upon TCR stimulation, which accounted for 70% of all activation-induced sites in mature TMEM cells. Mll1 promoted both H3K4me3 deposition and reduced TCR-induced Pol II pausing at genes whose single-cell transcriptional dynamics explained trajectories into nascent TSCM precursor states during viral infection. Our results suggest Mll1-dependent control of Pol II elongation and H3K4me3 establishes and maintains differentiation of CD8+ TSCM cell states.

immunology↗

bioRxiv2022

Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T-cell recognition epitopes

The continued evolution of the SARS-CoV-2 Omicron variant has led to the emergence of numerous sublineages with different patterns of evasion from neutralizing antibodies. We investigated neutralizing activity in immune sera from individuals vaccinated with SARS-CoV-2 wild-type spike (S) glycoprotein-based COVID-19 mRNA vaccines after subsequent breakthrough infection with Omicron BA.1, BA.2, or BA.4/BA.5 to study antibody responses against sublineages of high relevance. We report that exposure of vaccinated individuals to infections with Omicron sublineages, and especially with BA.4/BA.5, results in a boost of Omicron BA.4.6, BF.7, BQ.1.1, and BA.2.75 neutralization, but does not efficiently boost neutralization of sublineages BA.2.75.2 and XBB. Accordingly, we found in in silico analyses that with occurrence of the Omicron lineage a large portion of neutralizing B-cell epitopes were lost, and that in Omicron BA.2.75.2 and XBB less than 12% of the wild-type strain epitopes are conserved. In contrast, HLA class I and class II presented T-cell epitopes in the S glycoprotein were highly conserved across the entire evolution of SARS-CoV-2 including Alpha, Beta, and Delta and Omicron sublineages, suggesting that CD8+ and CD4+ T-cell recognition of Omicron BQ.1.1, BA.2.75.2, and XBB may be largely intact. Our study suggests that while some Omicron sublineages effectively evade B-cell immunity by altering neutralizing antibody epitopes, S protein-specific T-cell immunity, due to the very nature of the polymorphic cell-mediated immune, response is likely to remain unimpacted and may continue to contribute to prevention or limitation of severe COVID-19 manifestation.

immunology↗

bioRxiv2022

Transposable elements orchestrate subgenome-convergent and -divergent transcription in common wheat

The success of common wheat as the global staple crop is derived from genome diversity and redundancy as a result of allopolyploidization [1-3], giving rise to the major question how the divergent and convergent transcription among different subgenomes are achieved and harmonized in a single cell. The regulatory information is largely encoded in DNA regulatory elements (REs) interpreted by sequence specific transcription factors (TFs). Here, we created a catalog of genome-wide TF-binding sites (TFBS) to assemble an extensive wheat regulatory network comprising connections among 189 TFs and 3,714,431 REs, which enhances the understanding of wheat regulatory mechanisms on an unprecedented scale. A significant fraction of subgenome-divergent TFBS are derived from recent subgenome-asymmetric expansion of particular transposable element (TE) families. In contrary, TFBS derived from ancient TE expansion largely underwent parallel purifying selection during independent evolution of each subgenome, despite extensive unbalanced turnover of flanking TEs. Altogether, the subgenome-convergent and -divergent regulation in common wheat is orchestrated via differential evolutionary selection on paleo- and neo-TEs.

bioinformatics↗

bioRxiv2021

Single-cell lineage trajectories and chromatin regulators that initialize antiviral CD8 T cell ontogeny

Individual naive CD8 T cells activated in lymphoid organs differentiate into functionally diverse and anatomically distributed T cell phylogenies in response to intracellular microbes. During infections that resolve rapidly, including live viral vaccines1, distinct effector (TEFF) and memory (TMEM) cell populations develop that ensure long term immunity2. During chronic infections, responding cells progressively become dysfunctional and "exhaust"3. A diverse taxonomy of TEFF, TMEM and exhausted (TEX) CD8 T cell populations is known, but the initial developmental basis of this phenotypic variation remains unclear4-10. Here, we defined single-cell trajectories and identified chromatin regulators that establish antiviral CD8 T cell heterogeneity using unsupervised analyses of single-cell RNA dynamics11-13 and an in vivo RNAi screen14. Activated naive cells differentiate linearly into uncommitted effector-memory progenitor (EMP) cells, which initially branch into an analogous manifold during either acute or chronic infection. Disparate RNA velocities in single EMP cells initiate divergence into stem, circulating, and tissue-resident memory lineages that generate diverse TMEM and TEX precursor states in specific developmental orders. Interleukin-2 receptor (IL-2R) signals are essential for formation and transcriptional heterogeneity of EMP cells, and promote trajectories toward TEFF rather than TEX states. Nucleosome remodelers Smarca4 and Chd7 differentially promote transcription that delineates divergent TMEM lineages before cooperatively driving terminal TEFF cell differentiation. Thus, the lineage architecture is established by specific chromatin regulators that stabilize diverging transcription in uncommitted progenitors.

immunology↗