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Development of the malaria parasite, Plasmodium falciparum, is regulated by a limited number of sequence-specific transcription factors (TFs). However, the mechanisms by which these TFs recognize genome-wide binding sites is largely unknown. To address TF specificity, we investigated the binding of two TF subsets that either bind CACACA or GTGCAC DNA sequence motifs and further characterized two additional ApiAP2 TFs, PfAP2-G and PfAP2-EXP, which bind unique DNA motifs (GTAC and TGCATGCA). We also interrogated the impact of DNA sequence and chromatin context on P. falciparum TF binding by integrating high-throughput in vitro and in vivo binding assays, DNA shape predictions, epigenetic post-translational modifications, and chromatin accessibility. We found that DNA sequence context minimally impacts binding site selection for paralogous CACACA-binding TFs, while chromatin accessibility, epigenetic patterns, co-factor recruitment, and dimerization correlate with differential binding. In contrast, GTGCAC-binding TFs prefer different DNA sequence context in addition to chromatin dynamics. Finally, we determined that TFs that preferentially bind divergent DNA motifs may bind overlapping genomic regions due to low-affinity binding to other sequence motifs. Our results demonstrate that TF binding site selection relies on a combination of DNA sequence and chromatin features, thereby contributing to the complexity of P. falciparum gene regulatory mechanisms.
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http://dx.doi.org/10.1093/nar/gkae585 | DOI Listing |
Appl Biosaf
August 2025
Signature Science, LLC, Charlottesville, Virginia, USA.
Screening synthetic nucleic acid orders for sequences of concern is a necessary part of a healthy biosecurity regime, but it exacts costs for nucleic acid providers. Taxonomy is and will remain a critical part of the decision-making process for screening, especially for viral sequences. But, moving forward, the function of a sequence will also be determinative of its level of concern, or lack thereof.
View Article and Find Full Text PDFVet World
July 2025
Department of Veterinary Public Health, Veterinary Medicine College, University of Wasit, Wasit 52001, Iraq.
Background And Aim: is a significant zoonotic pathogen linked to reproductive losses in livestock and serious health risks in humans. In Iraq, listeriosis remains underreported in sheep, with limited data on its molecular and epidemiological characteristics. This study aimed to (1) estimate the seroprevalence of in recently aborted ewes, (2) evaluate the association between seropositivity and clinical indicators, and (3) perform molecular detection and phylogenetic analysis of polymerase chain reaction (PCR)-confirmed isolates.
View Article and Find Full Text PDFCell Physiol Biochem
September 2025
Zoology Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
Background/aims: Drug addiction is a neuropsychiatric disorder characterised by compulsive drug-seeking behaviour notwithstanding adverse consequences. This work seeks to address a deficiency in the literature by comparing drug-addicted and non-addicted individuals within an Iraqi population through the analysis of a 1000-base pair variable number of tandem repeats (VNTRs) polymorphism of the dopamine receptor gene DRD4. The association of this novel polymorphism with drug addiction has not yet been examined.
View Article and Find Full Text PDFBioconjug Chem
September 2025
Division of Organic Chemistry, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki 210-9501, Kanagawa, Japan.
Proteolysis-targeting chimeras (PROTACs) have emerged as a powerful modality for selectively degrading intracellular proteins via the ubiquitin-proteasome system. However, their development is often hindered by the limited availability of high-affinity small-molecule ligands, particularly for challenging targets, such as transcription factors. Aptamers─synthetic oligonucleotides with high affinity and specificity─offer a promising alternative as target-binding modules in the PROTAC design.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
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