Motif Analysis Research Articles

An Optimized Method for Reconstruction of Transcriptional Regulatory Networks in Bacteria Using ChIP-exo and RNA-seq Datasets.

Transcriptional regulatory networks (TRNs) in bacteria are crucial for elucidating the mechanisms that regulate gene expression and cellular responses to environmental stimuli. These networks delineate the interactions between transcription factors (TFs) and their target genes, thereby uncovering the regulatory processes that modulate gene expression under varying environmental conditions. Analyzing TRNs offers valuable insights into bacterial adaptation, stress responses, and metabolic optimization from an evolutionary standpoint. Additionally, understanding TRNs can drive the development of novel antimicrobial therapies and the engineering of microbial strains for biofuel and bioproduct production. This protocol integrates advanced data analysis pipelines, including ChEAP, DEOCSU, and DESeq2, to analyze omics datasets that encompass genome-wide TF binding sites and transcriptome profiles derived from ChIP-exo and RNA-seq experiments. This approach minimizes both the time required and the risk of bias, making it accessible to non-expert users. Key steps in the protocol include preprocessing and peak calling from ChIP-exo data, differential expression analysis of RNA-seq data, and motif and regulon analysis. This method offers a comprehensive and efficient framework for TRN reconstruction across various bacterial strains, enhancing both the accuracy and reliability of the analysis while providing valuable insights for basic and applied research.

Dynamic mRNA Stability Buffer Transcriptional Activation During Neuronal Differentiation and Is Regulated by SAMD4A.

Neurons are exceptionally sensitive to oxidative stress, which is the basis for many neurodegenerative disease pathophysiologies. The posttranscriptional basis for neuronal differentiation and behavior is not well characterized. The steady-state levels of mRNA are outcomes of an interplay between RNA transcription and decay. However, the correlation between mRNA transcription, translation, and stability remains elusive. We utilized a SH-SY5Y-based neural differentiation model that is widely used to study neurodegenerative diseases. After neuronal differentiation, we observed enhanced sensitivity of mature neurons to mitochondrial stresses and ferroptosis induction. We employed a newly developed simplified mRNA stability profiling technique to explore the role of mRNA stability in SH-SY5Y neuronal differentiation model. Transcriptome-wide mRNA stability analysis revealed neural-specific RNA stability kinetics. Our analysis revealed that mRNA stability could either exert the buffering effect on gene products or change in the same direction as transcription. Importantly, we observed that changes in mRNA stability corrected over or under transcription of mRNAs to maintain mRNA translation dynamics. Furthermore, we conducted integrative analysis of our mRNA stability data set, and a published CRISPR-i screen focused on neuronal oxidative stress responses. Our analysis unveiled novel neuronal stress response genes that were not evident at the transcriptional or translational levels. SEPHS2 emerged as an important neuronal stress regulator based on this integrative analysis. Motif analysis unveiled SAMD4A as a major regulator of the dynamic changes in mRNA stability observed during differentiation. Knockdown of SAMD4A impaired neuronal differentiation and influenced the response to oxidative stress. Mechanistically, SAMD4A was found to alter the stability of several mRNAs. The novel insights into the interplay between mRNA stability and cellular behaviors provide a foundation for understanding neurodevelopmental processes and neurodegenerative disorders and highlight dynamic mRNA stability as an important layer of gene expression.

Genome-Wide Identification of PR10 Family Members in Durum Wheat: Expression Profile and In Vitro Analyses of TdPR10.1 in Response to Various Stress Conditions.

The functional characterization of PR10 proteins has been extensively studied in many plant species. However, little is known about the role of TdPR10 in the response of durum wheat (Triticum durum Desf.) to stress. In this study, we identified members of the T. durum PR10 family, which are divided into three major subfamilies based on phylogenetic analyses. The analysis revealed that tandem duplication was the primary driver of the expansion of the T. durum PR10 gene family. Additionally, gene structure and motif analyses showed that PR10 family genes were relatively conserved during evolution. We also identified several cis-regulatory elements in the TdPR10 promoter regions related not only to abiotic and biotic stress but also to phytohormonal responses. In response to abiotic stresses and phytohormones, several TdPR10 genes were highly expressed in the leaves and roots of durum wheat. Moreover, TdPR10.1 family members improve RNase activity, increase LDH protective activity under abiotic stress conditions, and ensure resistance to fungi in vitro. Collectively, these findings provide a basis for further functional studies of TdPR10 genes, which could be leveraged to enhance stress tolerance in durum wheat.

Molecular identification of goat lice (Anoplura: Linognathidae) based on conserved motif analysis

Goat lice (Anoplura: Linognathidae) are important ectoparasites in pediculosis. However, their molecular classification and identification remain challenging owing to a lack of molecular data in GenBank. This study aimed to establish a molecular method for identifying Anoplura spp. Goat lice were captured in Yulin, China, and morphologically identified to Linognathus africanus (L. africanus). Sequences across Anoplura were downloaded from GenBank and conserved motif analysis showed that ribosomal DNA (rDNA) 18S V4, mitochondria DNA (mtDNA) 12S, and 16S were candidate gene fragments suitable for universal primer design because of abundant sequences and long conserved motifs with few mutations. These three gene fragments of the lice specimens were successfully amplified and sequenced, and their divergences were 0.1–1.7%, 0–0.6%, and 0.3–1.3%, respectively, indicating that the lice specimens belonged to the same species. BLAST analysis showed that the 18S sequences were only aligned to Linognathus, while the 12S and 16S sequences showed 98.8–99.4% and 98.7–99.3% similarities, respectively, with those of L. africanus from Pakistan. Therefore, the lice specimens were molecularly identified as L. africanus without geographical isolation. In conclusion, the goat lice specimens were identified to L. africanus. 12S and 16S are potential DNA barcodes of Anoplura spp.

The evolutionarily diverged single-stranded DNA-binding proteins SSB1/SSB2 differentially affect the replication, recombination and mutation of organellar genomes in Arabidopsis thaliana

Single-stranded DNA-binding proteins (SSBs) play essential roles in the replication, recombination and repair processes of organellar DNA molecules. In Arabidopsis thaliana, SSBs are encoded by a small family of two genes (SSB1 and SSB2). However, the functional divergence of these two SSB copies in plants remains largely unknown, and detailed studies regarding their roles in the replication and recombination of organellar genomes are still incomplete. In this study, phylogenetic, gene structure and protein motif analyses all suggested that SSB1 and SSB2 probably diverged during the early evolution of seed plants. Based on accurate long-read sequencing results, ssb1 and ssb2 mutants had decreased copy numbers for both mitochondrial DNA (mtDNA) and plastid DNA (ptDNA), accompanied by a slight increase in structural rearrangements mediated by intermediate-sized repeats in mt genome and small-scale variants in both genomes. Our findings provide an important foundation for further investigating the effects of DNA dosage in the regulation of mutation frequencies in plant organellar genomes.

Decoding the genomic terrain: functional insights into 14 chemosensory proteins in whitefly Bemisia tabaci Asia II-1

Genome-wide analysis of Bemisia tabaci Asia II-1 unravelled for the first-time full-length sequences of 14 chemosensory proteins (CSPs), their exon-intron boundaries, insertion sites of retrotransposons, and clustering patterns on chromosomes. All the CSPs sans CSP6 have an N-terminal signal peptide. The presence of OS-D superfamily and PhBP domains in different CSPs suggests their roles in chemosensory signal transduction and pheromone binding. Motif analysis reveals the conservation and cohesiveness of CSPs in hemiptera. The phylogenetic analysis uncovers the evolutionary lineages of Hemipteran CSPs. RT-qPCR analysis showed spatial expression of CSPs in different body tissues of B. tabaci adults. In-silico docking analysis showed high-affinity binding of CSP 1 and 5 with two insecticides, imidacloprid and fipronil, with energy values ranging from − 5.8 to -9.3 kcal/mol, along with the details of interacting aminoacidic residues in the hydrophobic binding pockets of these two CSPs. Further functional validation was done through insecticide bioassays and RNAi. This study provides novel insights into the genomic architecture of CSPs in B. tabaci Asia II-1, and functional characterisation suggests that CSP1 and 5 genes may have indirect roles in insecticide resistance. It lays the foundation for further research on developing new control strategies for B. tabaci.

CompariPSSM: a PSSM-PSSM comparison tool for motif-binding determinant analysis.

Short linear motifs (SLiMs) are compact functional modules that mediate low-affinity protein-protein interactions. SLiMs direct the function of many dynamic signalling and regulatory complexes playing a central role in most biological processes of the cell. Motif-binding determinants describe the contribution of each residue in a motif-containing peptide to the affinity and specificity of binding to the motif-binding partner. Motif-binding determinants are generally defined as a motif consensus pattern or a position-specific scoring matrix (PSSM) encoding quantitative preferences. Motif-binding determinant comparison is an important motif analysis task and can be applied to motif annotation, classification, clustering, discovery and benchmarking. Currently, binding determinant comparison is generally performed by analysing consensus similarity; however, this ignores important quantitative information in both the consensus and non-consensus positions. We have created a new tool, CompariPSSM, that quantifies the similarity between motif-binding determinants using sliding window PSSM-PSSM comparison and scores PSSM similarity using a randomisation-based probabilistic framework. The tool has been benchmarked on curated data from the eukaryotic linear motif database and experimental data from proteomic peptidephage display. CompariPSSM can be used for peptide classification to validate motif classes, peptide clustering to group functionally related conserved disordered regions, and benchmarking experimental motif discovery methods. CompariPSSM is available at https://slim.icr.ac.uk/projects/comparipssm.

Characterization of ATP-dependent phosphofructokinase genes during ripening and their modulation by phytohormones during postharvest storage of citrus fruits (Citrus reticulata Blanco.)

The level of sweetness in citrus fruit is crucial for consumer appeal and market competitiveness, determined mainly by soluble sugars and organic acids. ATP-dependent 6-phosphofructokinase is central to regulating sugar metabolism, yet its role in citrus fruit ripening and postharvest storage remains underexplored. We characterized phosphofructokinase genes in citrus, identifying eight genes classified into pyrophosphate-dependent phosphofructokinase (PFP) and ATP-dependent 6-phosphofructokinase (PFK) subgroups using phylogenetic analysis, genomic architectures, and protein motifs. Comparative genomic analysis with other plants highlighted significant protein homology among CitPFKs. The motif analysis indicated conserved phosphofructokinase domains in CitPFK sequences, with upstream promoter regions containing diverse cis-regulatory elements, most notably light-responsive (LREs). The gene expression profiling throughout fruit development and ripening revealed differential patterns, with responses to gibberellic acid and salicylic acid phytohormones during postharvest indicating their roles in regulating CitPFK genes. The analysis of the transcriptome showed high expression of ATP-dependent 6-phosphofructokinase 3 (CitPFK3) during fruit development, indicating a positive role in fruit maturation. Consequently, silencing CitPFK3 through virus-induced gene silencing (VIGS) increased hexose sugar content, suggesting its function in sugar accumulation. These findings improve our understanding of PFKs in citrus, particularly CitPFK3's pivotal role in regulating hexose sugar dynamics and their modulation by exogenous phytohormones after harvest. This study provides a foundation for optimizing soluble sugar regulation to enhance fruit quality and postharvest handling in citrus production.

Pre-eclampsia intronic polyadenylation enriched in VEGFA-VEGFR2 signaling pathway

AimsThis study aims to reveal transcriptome-wide intronic polyadenylation (IPA) events associated with Pre-eclampsia (PE). BackgroundPre-eclampsia (PE) is a potentially life-threatening complication of pregnancy, affecting both maternal and fetal health. However, our understanding of the underlying molecular mechanisms of PE remains limited. ObjectiveIn this study, we conducted a transcriptome-wide analysis of gene expression levels and intronic polyadenylation (IPA) events in samples of patients with PE. We also conducted motif analysis and scanned the microRNA targeting IPA network. MethodWe collected 90 PE-related samples from GEO database. IPA events were analyzed using IPAfinder software from hg38 alignment files from STAR. Miranda software was used to perform miRNA target gene prediction. Differentially expressed genes (DEG) were evaluated using edgeR with log2 fold change >1 and adjusted p-value <0.05. Function enrichment was performed through Clusterprofiler. ResultOur analysis revealed that genes in the VEGFA-VEGFR2 signaling pathway were functionally enriched with IPA events related to PE. We observed a negative correlation between gene expression levels and IPA events in VEGFA-VEGFR2 pathway. We identified LIN28B and AGO2 as the most significantly binding motifs to IPA sites. Furthermore, our analysis of miRNA binding sites associated with these IPA events revealed the central regulatory roles of miR-193b and miR-365a in IPA genes. ConclusionOur findings suggest that transcriptome data-mining might be a useful approach in future studies aimed at identifying potential biomarkers for PE.

Single-Cell Meta-Analysis Uncovers the Pancreatic Endothelial Cell Transcriptomic Signature and Reveals a Key Role for NKX2-3 in PLVAP Expression.

The pancreatic vasculature displays tissue-specific physiological and functional adaptations that support rapid insulin response by β-cells. However, the digestive enzymes have made it difficult to characterize pancreatic endothelial cells (ECs), resulting in the poor understanding of pancreatic EC specialization. Available single-nuclei/single-cell RNA-sequencing data sets were mined to identify pancreatic EC-enriched signature genes and to develop an integrated atlas of human pancreatic ECs. We validated the findings using independent single-nuclei/single-cell RNA-sequencing data, bulk RNA-sequencing data of isolated ECs, spatial transcriptomics data, immunofluorescence, and RNAScope of selected markers. The TF (transcription factor) NKX2-3 was expressed in HUVECs via gene transfection, and the expression of pancreatic EC-enriched signature genes was assessed via RT-qPCR. We defined a pancreatic EC-enriched gene signature conserved across species and developmental stages that included genes involved in ECM (extracellular matrix) composition (COL15A1 and COL4A1), permeability and barrier function (PLVAP, EHD4, CAVIN3, HSPG2, ROBO4, HEG1, and CLEC14A), and key signaling pathways (S1P, TGF-β [transforming growth factor-β], RHO-RAC GTPase, PI3k-AKT, and PDGF [platelet-derived growth factor]). The integrated atlas revealed the vascular hierarchy within the pancreas. We identified and validated a specialized islet capillary subpopulation characterized by genes involved in permeability (PLVAP and EHD4), immune-modulation (FABP5, HLA-C, and B2M), ECM composition (SPARC and SPARCL1), IGF (insulin-like growth factor) signaling (IGFBP7), and membrane transport (SLCO2A1, SLC2A3, and CD320). Importantly, we identified NKX2-3 as a key TF enriched in pancreatic ECs. DNA-binding motif analysis found NKX2-3 motifs in ≈40% of the signature genes. Induction of NKX2-3 in HUVECs promoted the expression of the islet capillary EC-enriched genes PLVAP and SPARCL1. We defined a validated transcriptomic signature of pancreatic ECs and uncovered their intratissue transcriptomic heterogeneity. We showed that NKX2-3 acts upstream of PLVAP and provided a single-cell online resource that can be further explored by the community: https://vasconcelos.shinyapps.io/pancreatic_endothelial/.

Genome-Wide Analysis of Caffeoyl-CoA-O-methyltransferase (CCoAOMT) Family Genes and the Roles of GhCCoAOMT7 in Lignin Synthesis in Cotton.

Caffeoyl coenzyme A-O-methyltransferase (CCoAOMT) has a critical function in the lignin biosynthesis pathway. However, its functions in cotton are not clear. In this research, we observed 50 CCoAOMT genes from four cotton species, including two diploids (Gossypium arboretum, 9, and Gossypium raimondii, 8) and two tetraploids (Gossypium hirsutum, 16, and Gossypium barbadense, 17), performed bioinformatic analysis, and focused on the involvement and functions of GhCCoAOMT7 in lignin synthesis of Gossypium hirsutum. CCoAOMT proteins were divided into four subgroups based on the phylogenetic tree analysis. Motif analysis revealed that all CCoAOMT proteins possess conserved Methyltransf_3 domains, and conserved structural features were identified based on the genes' exon-intron organization. A synteny analysis suggested that segmental duplications were the primary cause in the expansion of the CCoAOMT genes family. Transcriptomic data analysis of GhCCoAOMTs revealed that GhCCoAOMT2, GhCCoAOMT7, and GhCCoAOMT14 were highly expressed in stems. Subcellular localization experiments of GhCCoAOMT2, GhCCoAOMT7, and GhCCoAOMT14 showed that GhCCoAOMT2, GhCCoAOMT7, and GhCCoAOMT14 were localized in the nucleus and plasma membrane. However, there are no cis-regulatory elements related to lignin synthesis in the GhCCoAOMT7 gene promoter. GhCCoAOMT7 expression was inhibited by virus-induced gene silencing technology to obtain gene silencing lines, the suppression of GhCCoAOMT7 expression resulted in a 56% reduction in the lignin content in cotton stems, and the phloroglucinol staining area corresponding to the xylem was significantly decreased, indicating that GhCCoAOMT7 positively regulates lignin synthesis. Our results provided fundamental information regarding CCoAOMTs and highlighted their potential functions in cotton lignin biosynthesis and lignification.

MYB transcription factors, their regulation and interactions with non-coding RNAs during drought stress in Brassica juncea

BackgroundBrassica juncea(L.) Czern is an important oilseed crop affected by various abiotic stresses like drought, heat, and salt. These stresses have detrimental effects on the crop’s overall growth, development and yield. Various Transcription factors (TFs) are involved in regulation of plant stress response by modulating expression of stress-responsive genes. The myeloblastosis (MYB) TFs is one of the largest families of TFs associated with various developmental and biological processes such as plant growth, secondary metabolism, stress response etc. However, MYB TFs and their regulation by non-coding RNAs (ncRNAs) in response to stress have not been studied in B. juncea. Thus, we performed a detailed study on the MYB TF family and their interactions with miRNAs and Long non coding RNAs.ResultsComputational investigation of genome and proteome data presented a comprehensive picture of the MYB genes and their protein architecture, including intron-exon organisation, conserved motif analysis, R2R3 MYB DNA-binding domains analysis, sub-cellular localization, protein-protein interaction and chromosomal locations. Phylogenetically, BjuMYBs were further classified into different subclades on the basis of topology and classification in Arabidopsis. A total of 751 MYBs were identified in B. juncea corresponding to 297 1R-BjuMYBs, 440 R2R3-BjuMYBs, 12 3R-BjuMYBs, and 2 4R-BjuMYBs types. We validated the transcriptional profiles of nine selected BjuMYBs under drought stress through RT-qPCR. Promoter analysis indicated the presence of drought-responsive cis-regulatory components. Additionally, the miRNA-MYB TF interactions was also studied, and most of the microRNAs (miRNAs) that target BjuMYBs were involved in abiotic stress response and developmental processes. Regulatory network analysis and expression patterns of lncRNA-miRNA-MYB indicated that selected long non-coding RNAs (lncRNAs) acted as strong endogenous target mimics (eTMs) of the miRNAs regulated expression of BjuMYBs under drought stress.ConclusionsThe present study has established preliminary groundwork of MYB TFs and their interaction with ncRNAs in B. juncea and it will help in developing drought- tolerant Brassica crops.

Bidirectional Impact of Varying Severity of Acute Kidney Injury on Calcium Oxalate Stone Formation

Introduction: Acute kidney injury (AKI) is a prevalent renal disorder. The occurrence of AKI may promote the formation of renal calcium oxalate stones by exerting continuous effects on renal tubular epithelial cells (TECs). We aimed to delineate the molecular interplay between AKI and nephrolithiasis. Methods: A mild (20 min) and severe (30 min) renal ischemia-reperfusion injury model was established in mice. Seven days after injury, calcium oxalate stones were induced using glyoxylate (Gly) to evaluate the impact of AKI on the formation of kidney stones. Transcriptome sequencing was performed on TECs to elucidate the relationship between AKI severity and kidney stones. Key transcription factors (TFs) regulating differential gene transcription levels were identified using motif analysis, and pioglitazone, ginkgetin, and fludarabine were used for targeted therapy to validate key TFs as potential targets for kidney stone treatment. Results: Severe AKI led to increased deposition of calcium oxalate crystals in renal, impaired kidney function, and upregulation of kidney stone-related gene expression. In contrast, mild AKI was associated with decreased crystal deposition, preserved kidney function, and downregulation of similar gene expression. Transcriptomic analysis revealed that genes associated with inflammation and cell adhesion pathways were significantly upregulated after severe AKI, while genes related to energy metabolism pathways were significantly upregulated after mild AKI. An integrative bioinformatic analysis uncovered a TF regulatory network within TECs, pinpointing that PKNOX1 was involved in the upregulation of inflammation-related genes after severe AKI, and inhibiting PKNOX1 function with pioglitazone could simultaneously reduce the increase of calcium oxalate crystals after severe AKI in kidney. On the other hand, motif analysis also revealed the protective role of STAT1 in the kidneys after mild AKI, enhancing the function of STAT1 with ginkgetin could reduce kidney stone formation, while the specific inhibitor of STAT1, fludarabine, could eliminate the therapeutic effects of mild AKI on kidney stones. Conclusion: Inadequate repair of TECs after severe AKI increases the risk of kidney stone formation, with the upregulation of inflammation-related genes regulated by PKNOX1 playing a role in this process. Inhibiting PKNOX1 function can reduce kidney stone formation. Conversely, after mild AKI, effective cell repair through upregulation of STAT1 expression can protect TEC function and reduce stone formation, and activating STAT1 function can also achieve the goal of treating kidney stones.

Genome-Wide Identification and Expression Analysis of the PsTPS Gene Family in Pisum sativum

This study aimed to explore the role of the trehalose-6-phosphate synthase (TPS) gene family in the adaptation of peas to environmental stress. A comprehensive analysis of the PsTPS gene family identified 20 genes with conserved domains and specific chromosomal locations. Phylogenetic analysis delineated evolutionary relationships, while gene structure analysis revealed compositional insights, and motif analysis provided functional insights. Cis-regulatory element identification predicted gene regulation patterns. Tissue-specific and stress-induced expression profiling highlighted eight genes with ubiquitous expression, with PsTPS15 and PsTPS18 displaying elevated expression levels in roots, nodules, and young stems, and PsTPS13 and PsTPS19 expression downregulated in seeds. Transcriptome analysis identified a differential expression of 20 PsTPS genes, highlighting the significance of 14 genes in response to drought and salinity stress. Notably, under drought conditions, the expression of PsTPS4 and PsTPS6 was initially upregulated and then downregulated, whereas that of PsTPS15 and PsTPS19 was downregulated. Salinity stress notably altered the expression of PsTPS4, PsTPS6, and PsTPS19. Taken together, these findings elucidate the regulatory mechanisms of the PsTPS gene family and their potential as genetic targets for enhancing crop stress tolerance.

Comprehensive analysis of PLATZ family genes and their responses to abiotic stresses in Barley

BackgroundPlant A/T-rich protein and zinc-binding protein (PLATZ) transcription factors are pivotal regulators in various aspects of plant biology, including growth, development, and responses to environmental stresses. While PLATZ genes have been extensively studied and functionally characterized in various plants, limited information is available for these genes in barley.ResultsHere, we discovered a total of 11 PLATZ genes distributed across seven chromosomes in barley. Based on phylogenetic and conserved motif analysis, we classified PLATZ into five subfamilies, comprising 3, 1, 2, 1 and 4 genes, respectively. Analysis of gene structure demonstrated that these 11 HvPLATZ genes typically possessed two to four exons. Most HvPLATZ genes were found to possess at least one ABRE cis-element in their promoter regions, and a few of them also contained LTR, CAT-box, MRE, and DRE cis-elements. Then, we conducted an exploration of the expression patterns of HvPLATZs, which displayed notable differences across various tissues and in response to abiotic stresses. Functional analysis of HvPLATZ6 and HvPLATZ8 in yeast cells showed that they may be involved in drought tolerance. Additionally, we constructed a regulatory network including miRNA-targeted gene predictions and identified two miRNAs targeting two HvPLATZs, such as hvu-miR5053 and hvu-miR6184 targeting HvPLATZ2, hvu-miR6184 targeting HvPLATZ10.ConclusionIn summary, these findings provide valuable insights for future functional verification of HvPLATZs and contribute to a deeper understanding of the role of HvPLATZs in response to stress conditions in barley.

Set2 and H3K36 regulate the Drosophila male X chromosome in a context-specific manner, independent from MSL complex spreading.

Dosage compensation in Drosophila involves upregulating male X-genes two-fold. This process is carried out by the MSL (male-specific lethal) complex, which binds high-affinity sites and spreads to surrounding genes. Current models of MSL spreading focus on interactions betwen MSL3 (male-specific lethal 3) and Set2-dependent histone marks like trimethylated H3 lysine-36 (H3K36me3). However, Set2 could affect DC via another target, or there could be redundancy between canonical H3.2 and variant H3.3 histones. Furthermore, it is important to parse male-specific effects from those that are X-specific. To discriminate among these possibilities, we employed genomic approaches in H3K36 'residue' and Set2 'writer' mutants. The results confirm a role for Set2 in X-gene regulation, but show that expression trends in males are often mirrored in females. Instead of global, male-specific reduction of X-genes in Set2 or H3K36 mutants, we observe heterogeneous effects. Interestingly, we identified groups of differentially expressed genes (DEGs) whose changes were in opposite directions following loss of H3K36 or Set2, suggesting that H3K36me states have reciprocal functions. In contrast to H4K16R controls, differential expression analysis of combined H3.2K36R/H3.3K36R mutants showed neither consistent reduction in X-gene expression, nor correlation with MSL3 binding. Motif analysis of the DEGs implicated BEAF-32 and other insulator proteins in Set2/H3K36-dependent regulation. Overall, the data are inconsistent with the prevailing model wherein H3K36me3 is essential for spreading the MSL complex to genes along the male X. Rather, we propose that Set2 and H3K36 support DC indirectly, via processes that are utilized by MSL but common to both sexes.

Redirecting the pioneering function of FOXA1 with covalent small molecules

Pioneer transcription factors (TFs) bind to and open closed chromatin, facilitating engagement by other regulatory factors involved in gene activation or repression. Chemical probes are lacking for pioneer TFs, which has hindered their mechanistic investigation in cells. Here, we report the chemical proteomic discovery of electrophilic compounds that stereoselectively and site-specifically bind the pioneer TF forkhead box protein A1 (FOXA1) at a cysteine (C258) within the forkhead DNA-binding domain. We show that these covalent ligands react with FOXA1 in a DNA-dependent manner and rapidly remodel its pioneer activity in prostate cancer cells reflected in redistribution of FOXA1 binding across the genome and directionally correlated changes in chromatin accessibility. Motif analysis supports a mechanism where the ligands relax the canonical DNA-binding preference of FOXA1 by strengthening interactions with suboptimal sequences in predicted proximity to C258. Our findings reveal a striking plasticity underpinning the pioneering function of FOXA1 that can be controlled by small molecules.

Comparative Analysis of Hepatic Gene Expression Profiles in Murine and Porcine Sepsis Models.

Sepsis remains a huge unmet medical need for which no approved drugs, besides antibiotics, are on the market. Despite the clinical impact of sepsis, its molecular mechanism remains inadequately understood. Recent insights have shown that profound hepatic transcriptional reprogramming, leading to fatal metabolic abnormalities, might open a new avenue to treat sepsis. Translation of experimental results from rodents to larger animal models of higher relevance for human physiology, such as pigs, is critical and needs exploration. We performed a comparative analysis of the transcriptome profiles in murine and porcine livers using the following sepsis models: cecal ligation and puncture (CLP) in mice and fecal instillation (FI) in pigs, both of which induce polymicrobial septic peritonitis, and lipopolysaccharide (LPS)-induced endotoxemia in pigs, inducing sterile inflammation. Using bulk RNA sequencing, Metascape pathway analysis, and HOMER transcription factor motif analysis, we were able to identify key genes and pathways affected in septic livers. Conserved upregulated pathways in murine CLP and porcine LPS and FI generally comprise typical inflammatory pathways, except for ER stress, which was only found in the murine CLP model. Conserved pathways downregulated in sepsis comprise almost exclusively metabolic pathways such as monocarboxylic acid, steroid, biological oxidation, and small-molecule catabolism. Even though the upregulated inflammatory pathways were equally induced in the two porcine models, the porcine FI model more closely resembles the metabolic dysfunction observed in the CLP liver compared to the porcine LPS model. This comprehensive comparison focusing on the hepatic responses in mouse CLP versus LPS or FI in pigs shows that the two porcine sepsis models generally resemble quite well the mouse CLP model, with a typical inflammatory signature amongst the upregulated genes and metabolic dysfunction amongst the downregulated genes. The hepatic ER stress observed in the murine model could not be replicated in the porcine models. When studying metabolic dysfunction in the liver upon sepsis, the porcine FI model more closely resembles the mouse CLP model compared to the porcine LPS model.

Genome-wide profiling of bZIP transcription factors in Camelina sativa: implications for development and stress response

BackgroundThe bZIP transcription factor family, characterized by a bZIP domain, plays vital roles in plant stress responses and development. While this family has been extensively studied in various plant species, its specific functions in Camelina sativa (False Flax) remain underexplored.Methods and resultsThis study identified 71 bZIP transcription factors in C. sativa, classified into nine distinct groups based on phylogenetic analysis. Subcellular localization predicted a nucleus-specific expression for these bZIPs. Analysis of GRAVY scores revealed a range from 0.469 to -1.256, indicating a spectrum from hydrophobic to hydrophilic properties. Motif analysis uncovered 10 distinct motifs, with one motif being universally present in all CsbZIPs. Conserved domain analysis highlighted several domains beyond the core bZIP domain. Protein-protein interaction predictions suggested a robust network involving CsbZIPs. Moreover, promoter analysis revealed over 60 types of cis-elements, including those responsive to stress. Expression studies through RNA-seq and Real-time RT-qPCR demonstrated high expression of CsbZIPs in roots, leaves, flowers, and stems. Specifically, CsbZIP01, CsbZIP02, CsbZIP44, and CsbZIP60 were consistently up-regulated under cold, salt, and drought stresses, whereas CsbZIP34 and CsbZIP35 were down-regulated.ConclusionThis study presents the first comprehensive genome-wide profiling of bZIP transcription factors in Camelina sativa, providing novel insights into their roles in plant development and stress response mechanisms. By identifying and characterizing the bZIP gene family in C. sativa, this research offers new opportunities for improving stress tolerance and crop resilience through targeted genetic approaches, addressing key challenges in agriculture under changing environmental conditions.

Genome-Wide Identification of the Peanut ASR Gene Family and Its Expression Analysis under Abiotic Stress.

Peanut (Arachis hypogaea L.) is one of the most important oil and food legume crops worldwide. ASR (abscisic acid, stress, ripening) plays extremely important roles in plant growth and development, fruit ripening, pollen development, and stress. Here, six ASR genes were identified in peanut. Structural and conserved motif analyses were performed to identify common ABA/WDS structural domains. The vast majority of ASR genes encoded acidic proteins, all of which are hydrophilic proteins and localized on mitochondria and nucleus, respectively. The cis-element analysis revealed that some cis-regulatory elements were related to peanut growth and development, hormone, and stress response. Under normal growth conditions, AhASR4 and AhASR5 were expressed in all tissues of peanut plants. Quantitative real-time PCR (qRT-PCR) results indicated that peanut ASR genes exhibited complex expression patterns in response to abiotic stress. Notably, under drought and cadmium (Cd) stress, the expression levels of AhASR4 and AhASR5 were significantly upregulated, suggesting that these genes may play a crucial role in the peanut plant's resistance to such stressors. These results provide a theoretical basis for studying the evolution, expression, and function of the peanut ASR gene family and will provide valuable information in the identification and screening of genes for peanut stress tolerance breeding.