Search
Search Results
-
Single-cell transcriptomics across 2,534 microbial species reveals functional heterogeneity in the rumen microbiome
Deciphering the activity of individual microbes within complex communities and environments remains a challenge. Here we describe the development of...
-
Integrating transcriptomics, glycomics and glycoproteomics to characterize hepatitis B virus-associated hepatocellular carcinoma
BackgroundHepatocellular carcinoma (HCC) ranks as the third most common cause of cancer related death globally, representing a substantial challenge...
-
Integration of Transcriptomics Data and Metabolomic Data Using Biomedical Literature Mining and Pathway Analysis
Recent progress in omics technologies such as transcriptomics and metabolomics offers an unprecedented opportunity to understand the disease...
-
Gene count normalization in single-cell imaging-based spatially resolved transcriptomics
BackgroundRecent advances in imaging-based spatially resolved transcriptomics (im-SRT) technologies now enable high-throughput profiling of targeted...
-
Comparative transcriptomics analysis pipeline for the meta-analysis of phylogenetically divergent datasets (CoRMAP)
BackgroundTranscriptional regulation is a fundamental mechanism underlying biological functions. In recent years, a broad array of RNA-Seq tools have...
-
Museum of spatial transcriptomics
The function of many biological systems, such as embryos, liver lobules, intestinal villi, and tumors, depends on the spatial organization of their...
-
Spatial transcriptomics delineates molecular features and cellular plasticity in lung adenocarcinoma progression
Indolent (lepidic) and aggressive (micropapillary, solid, and poorly differentiated acinar) histologic subtypes often coexist within a tumor tissue...
-
CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis
BackgroundThe rise of spatial transcriptomics technologies is leading to new insights about how gene regulation happens in a spatial context....
-
Analysis of transcriptomics data from COVID-19 patients: a pilot research
During SARS-CoV-2 infection, the virus transforms the infected host cell into factories that produce new viral particles. As infection progresses,...
-
Disparities in spatially variable gene calling highlight the need for benchmarking spatial transcriptomics methods
Identifying spatially variable genes (SVGs) is a key step in the analysis of spatially resolved transcriptomics data. SVGs provide biological...
-
High-throughput transcriptomics of 409 bacteria–drug pairs reveals drivers of gut microbiota perturbation
Many drugs can perturb the gut microbiome, potentially leading to negative health consequences. However, mechanisms of most microorganism–drug...
-
Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells
The main critical step in single-cell transcriptomics is sample preparation. Several methods have been developed to preserve cells after dissociation...
-
Integrated transcriptomics and metabolomics analysis reveals key regulatory network that response to cold stress in common Bean (Phaseolus vulgaris L.)
Cold temperatures can be detrimental to crop survival and productivity. Breeding progress can be improved by understanding the molecular basis of low...
-
Transcriptomics integrated with metabolomics reveals the effect of cold stress on rice microspores
BackgroundMicrospore culture is one of the important biotechnological tools in plant breeding. The induction of microspore embryogenesis is a...
-
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin-stained tumor slides for precision oncology. We present...
-
SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics
Efficiently map** of cell types in situ remains a major challenge in spatial transcriptomics. Most spot deconvolution tools ignore spatial...
-
Cross-species transcriptomics reveals bifurcation point during the arterial-to-hemogenic transition
Hemogenic endothelium (HE) with hematopoietic stem cell (HSC)-forming potential emerge from specialized arterial endothelial cells (AECs) undergoing...
-
Tools and Techniques Used at Global Scale Through Genomics, Transcriptomics, Proteomics, and Metabolomics to Investigate Plant Stress Responses at the Molecular Level
Plant stress responses play a vital role in the adaptation and survival of plants under challenging environmental conditions. To gain clear...
-
Comprehensive analysis of transcriptomics and metabolomics to understand chronic ethanol induced murine cardiotoxicity
Alcohol abuse has attracted public attention and long-term alcohol exposure can lead to alcohol-featured non-ischemic dilated cardiomyopathy....
-
Transcriptomics analysis reveals Xanthoceras sorbifolia Bunge leaves’ adaptation strategy to low nitrogen
Key messageThis study enriched the understanding of the mechanism of nitrogen tolerance and starvation of yellowhorn and provided a reference for the...
