Exploring the Evolution of the Human Brain at the Single-cell Level – Technology Networks

Twenty-first century neuroscience is an enticing field of research that offers the potential to deliver novel insights into the cognition of the human brain and the molecular mechanisms behind brain diseases. However, it needs a little help.

The brain is immensely complex, comprised of functionally diverse anatomical regions which contain a multitude of different cell types. We know that, in order for these varying cell types to serve their function, an array of genes must be differentially expressed throughout the brain; specific genes are switched off in certain areas and certain genes are turned on in others.

We need to be able to look at the brain through a genomic lens to assess how genes are regulated or dysregulated in the case of some pathologies to gain a holistic view of its function.

The marriage of neuroscience and genomics has birthed a growing research area known as neurogenomics, which aims to understand how the genome contributes to the evolution, structure, development and function of the nervous system through the analysis of regulatory and transcriptional processes.

The advent of single cell RNA sequencing (scRNA-seq) has made this feat possible. This technique, which continues to be optimized, provides RNA expression profiles of individual cells. Conventionally, bulk RNA sequencing was the "gold standard" technology for the job; however, in mixed cell populations the measurements obtained from bulk RNA sequencing can miss significant differences between individual cells.More recently, developments in single nuclei RNA sequencing (sNuc-Seq) have propelled the field of neurogenomics even further. Now, researchers can isolate nuclei from particular cells to profile gene expression within that cell an elegant alternative to scRNA-seq for cells that are difficult to isolate.A team of scientists led by Philip Khaitovich, a professor at the Skoltech Center for Life Sciences, has conducted a large-scale analysis of gene expression in 33 different regions of human, chimpanzee, macaque and bonobo brains, adopting a mixture of bulk RNA seq and sNuc-Seq. From the data, they have created transcriptome maps of these brain regions, which they hope will be useful in human evolution research. The study is published in the journal Genome Research.

When looking at the cellular level, the scientists detected multiple expression differences between species with each of the cell types. This extended to non-neuronal cell types, where there was a substantially greater excess of human-specific expression differences in examined brain regions when compared to neurons, including astrocytes and oligodendrocyte progenitors.

The researchers were also able to decipher information on the sensitivity of the techniques adopted in the study.

Whilst multiple expression differences were detected between species within each cell type, approximately one third of these differences could be detected using bulk RNA-seq method; the remaining differences were only detectable using sNuc-Seq.

Whilst the cell-type-specific evolution differences observed in the study are indeed novel, the authors note that their findings do concur with the literature. They also identify an important component that they brand as "missing" from their study, which is an analysis of temporal patterns of expression evolution in the developing brain. They suggest this to be the appropriate next step in this research space.

Reference:

Khrameeva et al. (2020). Single-cell-resolution transcriptome map of human, chimpanzee, bonobo, and 3 macaque brains. Genomics Research. Doi: 10.1101/gr.256958.119

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Exploring the Evolution of the Human Brain at the Single-cell Level - Technology Networks