Exovesicular-Shh confers Imatinib resistance by upregulating Bcl2 expression in chronic myeloid leukemia with variant chromosomes

Anusha,; Dalal, Hamza; Subramanian, Sitalakshmi; Snijesh, V. P.; Gowda, Divya A.; Krishnamurthy, Hanumanthappa; Damodar, Sharat; Vyas, Neha

doi:10.1038/s41419-021-03542-w

Cited by 10 publications

(7 citation statements)

References 53 publications

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“…It is the rate-limiting enzyme in sucrose synthesis and affects sucrose accumulation in plants ( Wang et al, 2017b ). It is reported that overexpression of a maize SPS gene in potatoes enhanced the rate of photosynthesis and increased yield ( Ishimaru et al, 2008 ). Therefore, the low level of SPS protein in pH 5 may inhibit plant growth by affecting carbon metabolism.…”

Section: Discussionmentioning

confidence: 99%

Physiological and Proteomic Analysis of Different Molecular Mechanisms of Sugar Beet Response to Acidic and Alkaline pH Environment

et al. 2021

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Soil pH is a major constraint to crop plant growth and production. Limited data are available on sugar beet growth status under different pH conditions. In this study, we analyzed the growth status and phenotype of sugar beet under pH 5, pH 7.5, and pH 9.5. It was found that the growth of sugar beet was best at pH 9.5 and worst at pH 5. The activities of superoxide dismutase (SOD) and peroxidase (POD) in leaves and roots increased as pH decreased from 9.5 to 5. Moreover, compared with pH 9.5, the levels of soluble sugar and proline in leaves increased significantly at pH 5. To explore the mechanisms of sugar beet response to different soil pH environments, we hypothesized that proteins play an important role in plant response to acidic and alkaline pH environment. Thus, the proteome changes in sugar beet modulated by pH treatment were accessed by TMT-based quantitative proteomic analysis. A total of three groups of differentially expressed proteins (DEPs) (pH 5 vs. pH 7.5, pH 9.5 vs. pH7.5 and pH 5 vs. pH 9.5) were identified in the leaves and roots of sugar beet. Several key proteins related to the difference of sugar beet response to acid (pH 5) and alkaline (pH 9.5) and involved in response to acid stress were detected and discussed. Moreover, based on proteomics results, QRT-PCR analysis confirmed that expression levels of three N transporters (NTR1, NRT2.1, and NRT2.5) in roots were relatively high under alkaline conditions (pH 9.5) compared with pH 5 or pH 7.5. The total nitrogen content of pH 9.5 in sugar beet was significantly higher than that of pH 7.5 and pH 5. These studies increase our understanding of the molecular mechanism of sugar beet response to different pH environments.

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Section: Discussionmentioning

confidence: 99%

Physiological and Proteomic Analysis of Different Molecular Mechanisms of Sugar Beet Response to Acidic and Alkaline pH Environment

et al. 2021

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“…The application of high N fertilizer increases the levels of accumulation of total, α-, γ-, and ω-gliadins in bread wheat ( Chope et al, 2014 ; Zhen et al, 2020 ). So, N application strategies are one of the most common management practices to regulate yields and protein content in wheat ( Nakano and Morita, 2009 ; Yu et al, 2018 ). The two RNAi lines used in this work differ in the endosperm-specific promoters used for silencing; a D-hordein promoter ( Pistón et al, 2008 ) in the case of line D783, and a γ-gliadin promoter ( Pistón et al, 2009 ) in line D793.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, these RNAi varieties showed decreases of up to 100-fold in the ability to stimulate the immune response of T cells that specifically recognize α-gliadins epitopes ( Gil-Humanes et al, 2010 ) and an impaired capacity to stimulate Peripheral Blood Mononuclear Cells (PBMCs) from CD patients, providing a stimulatory response that does not differ from the gluten-free negative control ( Sánchez-León et al, 2019 ). In addition, N fertilization is a common practice to regulate yields and protein content in wheat ( Nakano and Morita, 2009 ; Yu et al, 2018 ), and an increase in N fertilization rates promotes the increment of total gluten content, including all gliadin fractions. These RNAi varieties also showed markedly different responses in relation to N fertilization, related to the RNAi construct used for gliadin silencing, increasing the gliadin content when nitrogen is increased ( García-Molina and Barro, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

The α-Gliadins in Bread Wheat: Effect of Nitrogen Treatment on the Expression of the Major Celiac Disease Immunogenic Complex in Two RNAi Low-Gliadin Lines

2021

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Celiac Disease (CD) is an autoimmune disorder that affects approximately 1% of the worldwide population. The α-gliadins of wheat contain the 33-mer peptide, the most active peptide in CD both in adults and pediatric patients. In this study, we have characterized the variants and expression profile of an α-gliadins amplicon, harboring the 33-mer peptide, in two low-gliadin RNAi wheat lines, under two different Nitrogen (N) treatments. We estimated that the amplicon expands 45 different α-gliadin variants with high variability due to length, randomly distributed SNPs, and the presence of encoded CD epitopes. Expression of this amplicon is reduced in both RNAi lines in comparison to the wild type. High N treatment significantly increases transcripts of the amplicon in the wild type, but not in the transgenic lines. Classification of α-gliadin variants, considering the number of epitopes, revealed that amplicon variants containing the full complement of 33-mer peptide were affected by N treatment, increasing their expression when N was increased. Line D793 provided higher and more stable silencing through different N fertilization regimes, expressing fewer CD epitopes than D783. Results of this study are important for better understanding of RNAi α-gliadin silencing in response to N treatments, and for undertaking new strategies by RNAi or CRISPR/Cas toward obtaining new varieties suitable for people suffering gluten intolerances.

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“…In soybeans, short-term and moderate water deficit during the vegetative stage may not reflect drastic reductions in grain yield since this period can be compensated by rainfall during the reproductive stage. However, in the reproductive period and, mainly during pod filling stage, drought can result in severe productivity losses ( Oya et al, 2004 ; Xu et al, 2018 ). Therefore, six progeny plants of the lines 4-3 and 4-23, together with the WT control, were subjected to water stress at the R2 stage, when open flowers are observed at the uppermost nodes of the main stem ( Fehr and Caviness, 1977 ).…”

Section: Resultsmentioning

confidence: 99%

Suppression of ERECTA Signaling Impacts Agronomic Performance of Soybean (Glycine max (L) Merril) in the Greenhouse

2021

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The ERECTA (ER) family of genes, encoding leucine-rich repeat receptor-like kinase (RLK), influences complex morphological and physiological aspects of plants. Modulation of ER signaling leads to abiotic stress tolerance in diverse plant species. However, whether the gain in stress tolerance is accompanied with desirable agronomic performance is not clearly known. In this study, soybean plants potentially suppressed in ER signaling were evaluated for the phenotypic performance and drought response in the greenhouse. These plants expressed a dominant-negative Arabidopsis thaliana ER (AtER) called ΔKinase to suppress ER signaling, which has previously been linked with the tolerance to water deficit, a major limiting factor for plant growth and development, directly compromising agricultural production. With the aim to select agronomically superior plants as stress-tolerant lines, transgenic soybean plants were subjected to phenotypic selection and subsequently to water stress analysis. This study found a strong inverse correlation of ΔKinase expression with the agronomic performance of soybean plants, indicating detrimental effects of expressing ΔKinase that presumably led to the suppression of ER signaling. Two lines were identified that showed favorable agronomic traits and expression of ΔKinase gene, although at lower levels compared with the rest of the transgenic lines. The drought stress analysis on the progenies of these lines, however, showed that these plants were more susceptible to water-deficit stress as compared with the non-transgenic controls. The selected transgenic plants showed greater stomata density and conductance, which potentially led to higher biomass, and consequently more water demand and greater susceptibility to the periods of water withholding.

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Exovesicular-Shh confers Imatinib resistance by upregulating Bcl2 expression in chronic myeloid leukemia with variant chromosomes

Cited by 10 publications

References 53 publications

Physiological and Proteomic Analysis of Different Molecular Mechanisms of Sugar Beet Response to Acidic and Alkaline pH Environment

Physiological and Proteomic Analysis of Different Molecular Mechanisms of Sugar Beet Response to Acidic and Alkaline pH Environment

The α-Gliadins in Bread Wheat: Effect of Nitrogen Treatment on the Expression of the Major Celiac Disease Immunogenic Complex in Two RNAi Low-Gliadin Lines

Suppression of ERECTA Signaling Impacts Agronomic Performance of Soybean (Glycine max (L) Merril) in the Greenhouse

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