Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain
- aDepartment of Anthropology, Center for the Advanced Study of Human Paleobiology and Institute for Neuroscience, The George Washington University, Washington, DC 20052;
- bDepartment of Electrical and Computer Engineering, Clinical Imaging Research Centre, Singapore Institute for Neurotechnology & Memory Networks Program, National University of Singapore, Singapore 117583;
- cAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129;
- dPsychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114;
- eDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA 02114;
- fDepartment of Psychology and Center for Brain Science, Harvard University, Cambridge, MA 02138
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Edited by Robert Desimone, Massachusetts Institute of Technology, Cambridge, MA, and approved December 10, 2015 (received for review June 3, 2015)

Significance
The human cerebral cortex is patterned with distributed networks that connect disproportionately enlarged association zones across the frontal, temporal, and parietal lobes. We asked herein whether the expansion of the cortical surface, with the concomitant emergence of long-range connectivity networks, might be accompanied by changes to the underlying molecular architecture. We focused on the supragranular layers of the cortex, where most corticocortical connections originate. Genes that are enriched in supragranular layers in the human cerebral cortex relative to mouse are expressed in a topography that reflects broad cortical classes (sensory/motor, paralimbic, associational) and their associated network properties. Molecular innovations of upper cortical layers may be an important component in the evolution of increased long-range corticocortical projections.
Abstract
The human brain is patterned with disproportionately large, distributed cerebral networks that connect multiple association zones in the frontal, temporal, and parietal lobes. The expansion of the cortical surface, along with the emergence of long-range connectivity networks, may be reflected in changes to the underlying molecular architecture. Using the Allen Institute’s human brain transcriptional atlas, we demonstrate that genes particularly enriched in supragranular layers of the human cerebral cortex relative to mouse distinguish major cortical classes. The topography of transcriptional expression reflects large-scale brain network organization consistent with estimates from functional connectivity MRI and anatomical tracing in nonhuman primates. Microarray expression data for genes preferentially expressed in human upper layers (II/III), but enriched only in lower layers (V/VI) of mouse, were cross-correlated to identify molecular profiles across the cerebral cortex of postmortem human brains (n = 6). Unimodal sensory and motor zones have similar molecular profiles, despite being distributed across the cortical mantle. Sensory/motor profiles were anticorrelated with paralimbic and certain distributed association network profiles. Tests of alternative gene sets did not consistently distinguish sensory and motor regions from paralimbic and association regions: (i) genes enriched in supragranular layers in both humans and mice, (ii) genes cortically enriched in humans relative to nonhuman primates, (iii) genes related to connectivity in rodents, (iv) genes associated with human and mouse connectivity, and (v) 1,454 gene sets curated from known gene ontologies. Molecular innovations of upper cortical layers may be an important component in the evolution of long-range corticocortical projections.
Footnotes
↵1Present address: Department of Genetics, Harvard Medical School, Cambridge, MA 02115.
- ↵2To whom correspondence should be addressed. Email: fenna_krienen{at}hms.harvard.edu.
Author contributions: F.M.K., B.T.T.Y., T.G., R.L.B., and C.C.S. designed research; F.M.K. performed research; F.M.K., B.T.T.Y., and T.G. contributed new reagents/analytic tools; F.M.K. analyzed data; and F.M.K., B.T.T.Y., T.G., R.L.B., and C.C.S. wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1510903113/-/DCSupplemental.
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