BioTuring's Blog - Data analysis made easy. For biologists, especially.
Data analysis made easy. For biologists, especially.
Comparing UMAP vs t-SNE in Single-cell RNA-Seq Data Visualization, Simply Explained
umap vs tsne global structure

How to Make Sense of Single-cell RNA Sequencing Data? Less is More Thanks to single-cell RNA sequencing (scRNA-seq), researchers are blessed with a trove of information. Yet, this blessing is also a curse in data visualization and further analysis! Since each cell is described by its gene expression profile, our […]

Dissect a spatial transcriptomics brain dataset with BBrowser: the human prefrontal cortex by Maynard et al. (2021)

Spatial Transcriptomics Brain Data Is In Demand The spatial gene expression contributes significantly to brain morphology, physiology, and connectivity. However, obtaining spatial transcriptomics brain data has long been a technical challenge. Recently, with continuous breakthroughs in spatial transcriptomics sequencing technique and data analysis tools, spatial human brain single cell RNA-Seq […]

Zooming in the intratumoral heterogeneity of liver cancer with BBrowser single cell database
intratumoral heterogeneity - liver cancer cell composition

Introduction  Why are tumors so resilient against available cancer therapies? One answer lies in intratumoral heterogeneity.  Intratumoral heterogeneity describes the diversity in tumor cell populations. Cancer cells exhibit startling distinctions in their types, shape, metabolic activities, transcriptomic profiles, and more. The causes of intratumoral heterogeneity are both heritable (clonal expansion […]

Explore 10X Visium Spatial Transcriptomics data at ease with BioTuring Browser

Cells don’t function independently. They belong to a complex and interconnected network. This makes gene expression profiling of individual cells not enough for understanding their activities and crosstalk in the tissue context.  Like a marriage between imaging and RNA sequencing, Spatial Transcriptomics is a revolutionized method to map gene activity […]

A tiny world inside non-small cell lung cancer revealed by single-cell omics: 35 cell types, and their marker genes

Take a non-small cell lung tumor. What do we see? To answer this challenging question, a lot of single-cell omics experiments have been conducted, yielding significant insights into the heterogeneity of non-small cell lung cancer (NSCLC) microenvironment. While each successfully characterizes a facet of this ecosystem, until now no work […]

Immunoglobulin genes up-regulated in lung adenocarcinoma infiltrating T cells: A report from BioTuring lung cancer single cell database

Highlights: In every biology textbook, expression of the B cell receptor (BCR) defines B cells, and the T cell receptor (TCR) defines T cells. However, in 2019, Ahmed et al. discovered a strange cell population in Type I Diabetes that coexpresses the BCR and TCR, and key lineage markers of […]