Zobrazeno 1 - 10
of 32 396
pro vyhledávání: '"DIFFERENTIAL EXPRESSION"'
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 366-81 (2024)
Copper (Cu) is considered one of the major heavy metal pollutants in agriculture, leading to reductions in crop yield. To reveal the molecular mechanisms of resistance to copper stress in maize (Zea mays L.) seedlings, transcriptome analysis was cond
Externí odkaz:
https://doaj.org/article/600f258e535144b084c888d66c25f413
Autor:
Siyuan Zhan, Rui Jiang, Zongqi An, Yang Zhang, Tao Zhong, Linjie Wang, Jiazhong Guo, Jiaxue Cao, Li Li, Hongping Zhang
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Circular RNAs (circRNAs) function as essential regulatory elements with pivotal roles in various biological processes. However, their expression profiles and functional regulation during the differentiation of goat myoblasts have
Externí odkaz:
https://doaj.org/article/2e4851203a434900a89a48c4b255c81e
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract Background Spinal Muscular Atrophy (SMA), a neuromuscular disorder that leads to weakness in the muscles due to degeneration of motor neurons. Mutations in the survival motor neuron 1 (SMN1) gene leads to the deficiency of SMN protein that c
Externí odkaz:
https://doaj.org/article/0f8c8b1db5c24d9c837909283794abfc
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Parkinson’s disease (PD) is a prevalent neurodegenerative disorder. Currently available drugs for PD, can only relieve the symptoms of PD, but cannot prevent the progression of the disease and have serious side effects. Other new druggable
Externí odkaz:
https://doaj.org/article/4742a0ac54a44a9ba8e0d367ad065a40
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-5 (2024)
Abstract A recent study reported exaggerated false positives by popular differential expression methods when analyzing large population samples. We reproduce the differential expression analysis simulation results and identify a caveat in the data ge
Externí odkaz:
https://doaj.org/article/e89c8591e60d4256ad344552e73b1633
Autor:
Xiao Chen, Yapeng Fan, Hongyu Nan, Cun Rui, Jing Zhang, Menghao Zhang, Yuping Sun, Lidong Wang, Zhining Yang, Ruize Song, Fange Wu, Shuai Wang, Lixue Guo, Xiugui Chen, Xuke Lu, Xiaoping Zhu, Ning Wang, Keyun Feng, Kunpeng Zhang, Wuwei Ye
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-13 (2024)
Abstract Vitamin C, also referred to as ascorbic acid (AsA), is recognized for its capacity to cure and avert scurvy, and it is crucial for regular human growth and development. In various crops, AsA participates in stress response mechanisms mediate
Externí odkaz:
https://doaj.org/article/d62b18b01d674ddbb46dd2e8ddad469b
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract Single-cell RNA-sequencing (scRNA-seq) provides gene expression profiles of individual cells from complex samples, facilitating the detection of cell type-specific marker genes. In scRNA-seq experiments with multiple donors, the population l
Externí odkaz:
https://doaj.org/article/efe615093ae54b899589812e848cafab
Autor:
Arunava Ghosh, Keith L. Rogers, Samuel C. Gallant, Yong Ho Kim, Julia E. Rager, M. Ian Gilmour, Scott H. Randell, Ilona Jaspers
Publikováno v:
Particle and Fibre Toxicology, Vol 21, Iss 1, Pp 1-19 (2024)
Abstract Background Exposure to military burn pit smoke during deployment is associated with different respiratory and non-respiratory diseases. However, information linking smoke exposure to human pulmonary health is lacking. This study examined the
Externí odkaz:
https://doaj.org/article/8f0502da750347f6b28f6a5b75108904
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Background The study aims to comprehensively combine colorectal cancer data cohorts in order to analyze the effects of various DNA methylation-coding genes on colorectal cancer patients. The annual incidence and mortality of colorectal cance
Externí odkaz:
https://doaj.org/article/5f32a20bd2594d1a9b236d9b96c48d2e
Autor:
Brennan H. Baker, Sheela Sathyanarayana, Adam A. Szpiro, James W. MacDonald, Alison G. Paquette
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Missing covariate data is a common problem that has not been addressed in observational studies of gene expression. Here, we present a multiple imputation method that accommodates high dimensional gene expression data by incorporating princi
Externí odkaz:
https://doaj.org/article/cfe23f7d729542beb02b0d1b2ce36059