Back

Whole-transcriptomic profiling of human cerebral cortex tissues reveals microglia-associated molecular subtypes

Zhuang, J.

2022-05-20 neuroscience
10.1101/2022.05.19.492569 bioRxiv
Show abstract

Microglia is one of the major immune cell types in the human brain and plays pivotal roles in regulating inflammatory and immune response in healthy as well as disease states. By analyzing whole transcriptomic data derived from a large cohort of postmortem cortex tissues, we identified two distinct microglial subtypes within the population. The main difference between the two subtypes lies in the differential expression levels of the C1q complex components, Fc {gamma} receptor (CD16) components and CD14. We validated our discovery in independent cohorts of brain autopsy tissues as well as in RNA-seq data generated from isolated microglia. Future investigations into the causes and physiological implications of these subtypes may shed more light on the homeostasis and regulation of the immune related processes in the brain.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Brain, Behavior, and Immunity
○ 116 papers in training set
Top 0.1%
30.2%
Similar papers in this journal
2
Journal of Neuroinflammation
○ 61 papers in training set
Top 0.2%
6.6%
Similar papers in this journal
3
Glia
○ 81 papers in training set
Top 0.2%
6.6%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 29%
4.2%
Similar papers in this journal
5
iScience
○ 1154 papers in training set
Top 5%
3.9%
Similar papers in this journal
50% of probability mass above
6
Cerebral Cortex
◐ 396 papers in training set
Top 2%
3.4%
7
Scientific Reports
○ 3612 papers in training set
Top 34%
3.1%
8
Molecular Psychiatry
○ 282 papers in training set
Top 2%
2.7%
9
The Journal of Neuroscience
● 1025 papers in training set
Top 6%
2.7%
10
Communications Biology
○ 993 papers in training set
Top 10%
2.3%
11
Acta Neuropathologica Communications
○ 89 papers in training set
Top 1%
2.1%
12
Cell Reports
○ 1498 papers in training set
Top 18%
1.9%
13
Acta Neuropathologica
○ 58 papers in training set
Top 0.9%
1.7%
14
Nature Communications
○ 5641 papers in training set
Top 47%
1.5%
15
Frontiers in Molecular Neuroscience
○ 47 papers in training set
Top 0.7%
1.4%
16
Frontiers in Aging Neuroscience
○ 74 papers in training set
Top 1%
1.3%
17
Brain, Behavior, & Immunity - Health
○ 28 papers in training set
Top 0.4%
1.1%
18
Neurobiology of Disease
○ 148 papers in training set
Top 3%
1.1%
19
International Journal of Molecular Sciences
○ 494 papers in training set
Top 13%
1.0%
20
Alzheimer's & Dementia
177 papers in training set
Top 2%
1.0%
21
Journal of Neuroscience Research
○ 27 papers in training set
Top 0.4%
0.9%
22
Journal of Neurochemistry
○ 53 papers in training set
Top 1%
0.8%
23
Aging Cell
○ 165 papers in training set
Top 2%
0.8%
24
Frontiers in Neuroscience
○ 256 papers in training set
Top 6%
0.8%
25
Molecular Neurodegeneration
○ 55 papers in training set
Top 2%
0.8%
26
eneuro
● 439 papers in training set
Top 8%
0.8%
27
BMC Genomics
○ 406 papers in training set
Top 8%
0.8%
28
Translational Psychiatry
○ 260 papers in training set
Top 5%
0.6%
29
Frontiers in Immunology
○ 638 papers in training set
Top 11%
0.6%
30
Frontiers in Cellular Neuroscience
○ 91 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.