ABT1
- Known as:
- ABT1
- Catalog number:
- 000967A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ABT1
Related genes to: ABT1
- Gene:
- ABT1 NIH gene
- Name:
- activator of basal transcription 1
- Previous symbol:
- -
- Synonyms:
- Esf2
- Chromosome:
- 6p22.2
- Locus Type:
- gene with protein product
- Date approved:
- 2002-07-23
- Date modifiied:
- 2017-05-26
Related products to: ABT1
Related articles to: ABT1
- Amentotaxus formosana (Taxaceae) is an endangered relict conifer for which stem-cutting propagation is essential for conservation. Seed-based regeneration is unreliable in its small, fragmented, dioecious populations. However, extreme and uncharacterized cutting mortality has severely bottlenecked these efforts. Because conventional static endpoint evaluations mask the critical temporal dynamics of rhizogenesis and failure, the underlying drivers of this attrition remain obscure. Here, we applied Kaplan-Meier estimation and Cox proportional hazards modelling to a two-stage factorial experiment involving 641 cuttings to identify factors associated with cutting mortality over time. Stage 1 revealed that substrate composition significantly influenced survival, with pure shredded shale approximately doubling the mortality hazard relative to peat-perlite. Among plant growth regulator (PGR) treatments, indole-3-butyric acid (IBA) significantly reduced mortality risk relative to the ABT-1 composite treatment. Stage 2 identified specific maternal-DBH- and genotype-dependent treatment responses within an analytical subset of five adequately sampled genotypes. The association between maternal DBH and mortality hazard was treatment-dependent, with a significant maternal DBH × IBA interaction. In analyses including all 12 genotypes, stratified log-rank tests detected significant among-genotype survival differences under IBA and NAA, but not under the untreated control. Within the five-genotype Cox model, DG-15-12 showed a significant genotype × NAA interaction. This study represents the first application of time-to-event survival analysis in propagation. We demonstrate that cutting mortality is partially associated with interactions involving substrate type, auxin treatment, maternal DBH, and genotype. However, the magnitude and statistical detectability of these interactions varied across factor combinations. These findings provide a quantitative framework for genotype-resolved, risk-informed conservation propagation of recalcitrant relict species. - Source: PubMed
Publication date: 2026/08/19
Ko Ya-ZhuShih Huie-ChuanShiao Meng-ShinHsu Tsai-WenChiang Yu-Chung - Lung cancer remains a major cause of cancer-related mortality, and reliable molecular targets with therapeutic relevance are still needed. This study aimed to identify key genes associated with lung cancer progression and explore the potential regulatory effect of resveratrol. The GSE43458 dataset, including 80 lung cancer samples and 30 control samples, was used for differential expression analysis and weighted gene co-expression network analysis (WGCNA). Intersecting genes were subjected to protein-protein interaction network construction, Cytoscape-based hub gene screening, functional enrichment analysis, and immune infiltration analysis. Single-cell RNA sequencing data from GSE131907 were further analyzed to characterize cellular heterogeneity and hub gene distribution. Resveratrol was predicted as a candidate compound, followed by molecular docking with hub proteins. Finally, CCK-8, Western blotting, and qRT-PCR assays were performed in BEAS-2B and A549 cells. A total of 1,655 differentially expressed genes were identified, and WGCNA identified the 252-gene turquoise module as the module most strongly associated with the lung cancer phenotype (r = - 0.86, P = 6.0 × 10⁻³⁵). Intersection analysis yielded 250 candidate genes, representing 15.1% of all differentially expressed genes. Five hub genes, CASP3, DDX54, TP53BP1, CDKN2A, and ABT1, were identified and showed significantly increased expression in lung cancer tissues (P < 0.05). Functional enrichment analysis linked the candidate genes to apoptosis, cell-cycle regulation, DNA damage repair, immune responses, and cancer-related pathways, while immune infiltration and single-cell analyses revealed marked remodeling of immune and stromal components. Molecular docking predicted potential interactions between resveratrol and the five hub proteins, with the most favorable docking scores observed for TP53BP1 (- 7.0 kcal/mol) and DDX54 (- 6.9 kcal/mol). In vitro validation further showed that resveratrol treatment significantly reduced the mRNA and protein expression of the identified hub genes in A549 cells (P < 0.05). This study identified five lung cancer-associated hub genes and provided preliminary evidence that resveratrol may modulate their expression. These findings provide a multi-level molecular framework for further investigation of resveratrol-responsive networks in lung cancer. - Source: PubMed
Publication date: 2026/08/14
Yang JinghuaWei HanxiuLi JieChen Jun - Photopharmacology provides a strategy for green pesticide design. Starting from tolfenpyrad, azobenzene-modified photochromic ligands were synthesized. showed high bioactivity and photoisomerization efficiency but limited / activity difference. To enhance this, terminal phenyl modifications yielded , which displayed amplified photoregulatory activity differences across pests. Notably, exhibited a 4.8-fold photoinduced activity enhancement against larvae and a 6.6-fold photoinduced activity reduction against , while achieved a 35-fold reduction against . Molecular docking and binding free energy calculations indicated stronger -isomer binding to the target via multiple hydrogen bonds. Molecular orbital analysis revealed a minimal HOMO-LUMO gap difference (0.05 eV) between isomers, suggesting activity differences arise from conformational changes in charge distribution rather than energy variations. This work demonstrates a rational design approach for high-performance photoresponsive pesticides. - Source: PubMed
Publication date: 2026/07/02
Zhang YongchaoQiao ZhiZhou CuncunYin QiShi LeiLi ZhongFu WenShao Xusheng - Lian is an important native tree species in the "One River, Two Streams" valley of Tibet, valued for its ecological restoration potential and nutrient-rich fruits. However, this species has several limitations, including a long fruiting cycle (3-5 years to flowering and 10-15 years to reach peak fruit production), small fruit size, and numerous branch thorns. These traits hinder large-scale cultivation and mechanized harvesting, creating an urgent need for improved varieties with larger fruit and higher yield. In this study, we established an efficient -mediated genetic transformation system for using hypocotyls as explants. Under optimized conditions (OD = 0.5, AS = 200 μmol/L, infection time = 15 min), the transformation efficiency reached 36.67% (calculated as the number of PCR-positive plants divided by the total number of explants initially inoculated with ). A rooting rate of 12.5% was achieved using 100 mg/L rooting powder (ABT1) for 40 min, resulting in an overall success rate of approximately 4-5%. Furthermore, we identified and cloned two fruit-size-related genes, and , from . Heterologous expression of and in tomato decreased and increased fruit size, respectively, consistent with their regulatory roles in fruit development. Given the positive regulatory effect of , this gene was further transformed into . This study represents the first report of a stable genetic transformation platform for , providing a robust technical foundation for future molecular breeding and the development of improved, large-fruited varieties. - Source: PubMed
Publication date: 2026/05/25
Zhang YaqingGao YumengChen ChunxiaZhao AnqiWu YunhuaShi LishaWei QixuanZhou ZijieYang XiaomingMing MeilingZhang LinCao FuliangFu Fangfang - Acinetobacter baumannii is a formidable multidrug-resistant pathogen prevalent in healthcare settings. Amid the escalating challenge of antimicrobial resistance, phage therapy has regained significant attention. This approach harnesses the natural predatory ability of bacteriophages to combat bacterial infections. - Source: PubMed
Publication date: 2026/02/26
Li XiaoxiaoLiu JiaxinLi HaoyuZhang WanlianWei HanqiSong ShihaoChen Xiangxiu