The complete chloroplast genome sequences of three Pedicularis species (Orobanchaceae).

Pedicularis L., a generally bothersome genus of hemiparasitic plants, is primarily native to southwestern China. The phylogenetic relationship and evolutionary history of this genus have not yet been fully resolved.

Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning.

Background: nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global population and its impact on human health will continue to increase. Genetic susceptibility is an important factor influencing its onset and progression, and there is a lack of reliable methods to predict the susceptibility of normal populations to NAFLD using appropriate genes.

Methods: RNA sequencing data relating to nonalcoholic fatty liver disease was analyzed using the "limma" package within the R software.

Single cell and bulk transcriptome analysis identified oxidative stress response-related features of Hepatocellular Carcinoma.

Hepatocellular Carcinoma (HCC) is a common lethal digestive system tumor. The oxidative stress mechanism is crucial in the HCC genesis and progression. Our study analyzed single-cell and bulk sequencing data to compare the microenvironment of non-tumor liver tissues and HCC tissues.

Prognostic Role of Unfolded Protein Response-Related Genes in Hepatocellular Carcinoma.

Aims: To reveal the prognostic role of unfolded protein response (UPR) -related genes in hepatocellular carcinoma (HCC).

Background: Hepatocellular carcinoma is a genetically heterogeneous tumor, and the prediction of its prognosis remains a challenge. Studies elucidating the molecular mechanisms of UPR have rapidly increased.

Cellular senescence-related gene signature as a valuable predictor of prognosis in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a lethal tumor. Its prognosis prediction remains a challenge. Meanwhile, cellular senescence, one of the hallmarks of cancer, and its related prognostic genes signature can provide critical information for clinical decision-making.

Evaluating the productivity of ancient Pu'er tea trees (Camellia sinensis var. assamica): a multivariate modeling approach.

Background: The demand for productive economic plant resources is increasing with the continued growth of the human population. Ancient Pu'er tea trees [Camellia sinensis var. assamica (J.

Inflammatory Response-Related Long Non-Coding RNA Signature Predicts the Prognosis of Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is a high mortality malignant tumor with genetic and phenotypic heterogeneity, making predicting prognosis challenging. Meanwhile, the inflammatory response is an indispensable player in the tumorigenesis process and regulates the tumor microenvironment, which can affect the prognosis of tumor patients.

Methods: Using HCC samples in the TCGA-LIHC dataset, we explored lncRNA expression profiles associated with the inflammatory response.

The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a genetically and phenotypically heterogeneous tumor, and the prediction of its prognosis remains a challenge. In the past decade, studies elucidating the mechanisms that induce tumor cell pyroptosis has rapidly increased. The elucidation of their mechanisms is essential for the clinical development optimal application of anti-hepatocellular carcinoma therapeutics.

Inflammation-Related Long Non-Coding RNA Signature Predicts the Prognosis of Gastric Carcinoma.

Gastric carcinoma (GC) is a molecularly and phenotypically highly heterogeneous disease, making the prognostic prediction challenging. On the other hand, Inflammation as part of the active cross-talk between the tumor and the host in the tumor or its microenvironment could affect prognosis. We established a prognostic multi lncRNAs signature that could better predict the prognosis of GC patients based on inflammation-related differentially expressed lncRNAs in GC.

Quantum state tomography of molecules by ultrafast diffraction.

Ultrafast electron diffraction and time-resolved serial crystallography are the basis of the ongoing revolution in capturing at the atomic level of detail the structural dynamics of molecules. However, most experiments capture only the probability density of the nuclear wavepackets to determine the time-dependent molecular structures, while the full quantum state has not been accessed. Here, we introduce a framework for the preparation and ultrafast coherent diffraction from rotational wave packets of molecules, and we establish a new variant of quantum state tomography for ultrafast electron diffraction to characterize the molecular quantum states.

A Network Pharmacology Approach to Reveal the Underlying Mechanisms of on the Treatment of Hepatocellular Carcinoma.

Objective: To investigate the potential active ingredients and underlying mechanisms of (AA) on the treatment of hepatocellular carcinoma (HCC) based on network pharmacology.

Methods: In the present study, we used a network pharmacological method to predict its underlying complex mechanism of treating HCC. First, we obtained relative compounds of AA based on the traditional Chinese medicine systems pharmacology (TCMSP) database and collected potential targets of these compounds by target fishing.

A Novel Signature Based on mTORC1 Pathway in Hepatocellular Carcinoma.

Background: mTORC1 signal pathway plays a role in the initiation and progression of hepatocellular carcinoma (HCC), but no relevant gene signature was developed. This research aimed to explore the potential correlation between the mTORC1 signal pathway and HCC and establish the related gene signature.

Methods: HCC cases were retrieved from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases.