Abstract
Increasing interest in studies of prenatal human brain development, particularly using new single-cell genomics and anatomical technologies to create cell atlases, creates a strong need for accurate and detailed anatomical reference atlases. In this study, we present two cellular-resolution digital anatomical atlases for prenatal human brain at post-conceptional weeks (PCW) 15 and 21. Both atlases were annotated on sequential Nissl-stained sections covering brain-wide structures on the basis of combined analysis of cytoarchitecture, acetylcholinesterase staining and an extensive marker gene expression dataset. This high information content dataset allowed reliable and accurate demarcation of developing cortical and subcortical structures and their subdivisions. Furthermore, using the anatomical atlases as a guide, spatial expression of 37 and 5 genes from the brains respectively at PCW 15 and 21 was annotated, illustrating reliable marker genes for many developing brain structures. Finally, the present study uncovered several novel developmental features, such as the lack of an outer subventricular zone in the hippocampal formation and entorhinal cortex, and the apparent extension of both cortical (excitatory) and subcortical (inhibitory) progenitors into the prenatal olfactory bulb. These comprehensive atlases provide useful tools for visualization, segmentation, targeting, imaging and interpretation of brain structures of prenatal human brain, and for guiding and interpreting the next generation of cell census and connectome studies.
Keywords: Brain development, gene expression, cerebral cortex, hippocampal formation, amygdala, thalamic nuclei, ganglionic eminence
1. INTRODUCTION
Anatomical brain atlases are essential tools for visualizing, integrating and interpreting experimental data about brain structure, function, circuits, cell types and structure-function-behavior relationships (Evans et al., 2012; Wang et al., 2020). We previously generated brain-wide detailed microarray-based transcriptomic atlases for the prenatal human brain at post-conceptional weeks (PCW) 15, 16 and 21 (Miller et al., 2014), and single cell genomic studies are now increasingly profiling prenatal brains to define cellular diversity, developmental trajectories and gene regulatory mechanisms (Eze et al., 2021; Fan et al., 2020; Nowakowski et al., 2017;). To provide an anatomical and ontological framework for these prior and future studies of human brain development, here we aimed to create detailed and accurate reference atlases that densely sample the whole developing brain at PCW 15 and 21. These prenatal human brain atlases can also be important tools to guide increasing neuroimaging studies of prenatal human brains and developmental deficits and malformations (Kostović et al., 2019; Oishi et al., 2018;).
Two highly detailed comprehensive anatomical atlases are available for the adult human brain (Ding et al. 2016; Mai et al., 2016). Fewer anatomical references are available for developing human brains, and especially for prenatal stages. Only one series of prenatal human brain atlases is available, generated on a limited set of Nissl-stained sections from different brain specimens (Bayer & Altman, 2003; 2005; 2006). While heroic efforts at the time, these atlases have relatively low sampling density, are limited to Nissl stain, and have much fewer structural annotations than the adult atlases. For example, only 15 and 13 coronal sections were annotated for the human brain atlases from prenatal weeks (PW) 13.5 and 17, respectively (Bayer & Altman, 2005). Furthermore, certain developmental stages, such as PW 15 and 16, are not available in this atlas serieses.
In this study we aimed to create a plate-based atlas with coverage of essentially all anatomical structures, a complete developmental structural ontology, and a high information content gene expression analysis that allows accurate structural delineation. Whole brain serial sectioning was performed on each brain, with interdigitated histochemistry and in situ hybridization (ISH) spanning the entire brain specimens, which were scanned at 1 μm/pixel resolution. We annotated representative Nissl-stained coronal sections spanning the brain (46 sections for the PCW 15 brain and 81 sections for the PCW 21 brain) based on a combined analysis of cytoarchitecture, acetylcholinesterase (AChE) staining and expression patterns of selected genes from the same brain. Annotations were also performed on a series of the ISH images that often delineate particular structures well (sections for 37 and 5 selected genes from the PCW 15 and 21 brains, respectively). Finally, these atlases are presented as freely accessible online interactive data resources (www.brain-map.org or www.brainspan.org).
2. MATERIALS AND METHODS
2.1. Prenatal human brain specimens:
Two post-mortem human brain specimens at PCW 15 (male; Caucasian) and PCW 21 (female; Asian), respectively, were used for generation of anatomical and molecular atlases. Both specimens were procured from Laboratory of Developmental Biology at the University of Washington, Seattle, USA. All work was performed according to guidelines for the research use of human brain tissue and with approval by the Human Investigation Committees and Institutional Ethics Committees of University of Washington. Appropriate written informed consent was obtained and all available non-identifying information was recorded for each specimen. The criteria for tissue selection include no known history of maternal drug or alcohol abuse, potential teratogenic events, or HIV1/2, HepB or HepC infection, and no neuropathological defects were observed in histological data derived from these tissues. Eligible tissue was also screened to ensure cytoarchitectural integrity (analysis of Nissl-stained sections) and high RNA quality. Both brains met above criteria and showed normal appearance and high RNA quality with an average RNA integrity number of 8 and 9 for PCW 15 and 21, respectively. Both brains were bisected, and the left hemisphere was used for DNA microarray analysis (see Miller et al, 2014) and right hemisphere was used for histology and ISH stains. For the right hemisphere, two and four coronal slabs were cut for the PCW 15 and 21 brains, respectively, based on the size of the hemisphere. These slabs were frozen in isopentane chilled to −50°C and stored at −80°C until sectioning. Serial sectioning was performed through the whole hemisphere, slab by slab. Nissl, acetylcholinesterase (AChE) and ISH stains for 43 gene probes were carried out on sequential series of sections (see below). For both stages, sequential sections for Nissl and AChE stain were regularly spaced and flanked by series of ISH for marker genes. All histology and ISH sections were digitally scanned at 1.0 μm/pixel. To generate anatomical atlases for PCW 15 and 21 brains, 46 out of the 115, and 81 out of the 174 Nissl-stained sequential sections were selected, respectively.
2.2. Nissl staining
After sectioning 20 μm-thick sections in the coronal plane from an entire hemisphere of the specimens, slides were baked at 37°C for 1 to 5 days and were removed 5 to 15 minutes prior to staining. Sections were defatted with xylene or the xylene substitute Formula 83, and hydrated through a graded series containing 100, 95, 70, and 50% ethanol. After incubation in water, the sections were stained in 0.213% thionin, then differentiated and dehydrated in water and a graded series containing 50, 70, 95, and 100% ethanol. Finally, the slides were incubated in xylene or xylene substitute Formula 83, and coverslipped with the mounting agent DPX. After drying, the slides were analyzed microscopically to ensure staining quality.
2.3. AChE staining
A modified AChE protocol was used to help delineate subcortical structures at high resolution. AChE staining was performed using a direct coloring thiocholine method combined with a methyl green nuclear counterstain to improve tissue visibility (Karnovsky & Roots, 1964). Glass slides with fresh-frozen tissue sections were removed from 4°C, allowed to equilibrate to room temperature, fixed in 10% neutral buffered formalin and washed briefly in ultra-pure water. Sections were then incubated for 30 minutes in a solution of acetylthiocholine iodide, sodium citrate, cupric sulfate, and potassium ferricyanide in a 0.1M sodium acetate buffer (pH 6.0), washed in 0.1M Tris-HCl buffer (pH 7.2), incubated with 0.5% diaminobenzidine in 0.1M Tris-HCl with 0.03% hydrogen peroxide. Slides were incubated in 0.2% methyl green, briefly dipped in 100% ethanol, cleared with Formula 83 and coverslipped with DPX.
2.4. ISH staining
A colorimetric, digoxigenin-based method for labeling target mRNA was used to detect gene expression on human prenatal tissue sections with 43 selected genes (see Lein et al., 2007). These genes include canonical morphological and cell type markers and disease-related genes associated with neocortical development. Gene selection was preferential towards data available through the Allen Developing Mouse Brain Atlas (Thompson et al., 2014), allowing a direct phylogenetic comparison of gene expression patterns between mouse and human. Gene lists and details of the ISH process are available online (http://help.brain-map.org/display/devhumanbrain/Documentation). Gene list is also shown in the legend of appendix 2.
2.5. Digital imaging and image processing
Digital imaging of the stained slides was done using a ScanScope XT (Aperio Technologies Inc., Vista, CA) with slide autoloader. The final resolution of the images was 1 μm/pixel. All images were databased and preprocessed, then subjected to quality control (QC) to ensure optimal focus and that no process artifacts were present on the slide images. Images that passed this initial QC were further assessed to ensure that the staining data were as expected. Once all QC criteria were met, images became available for annotation of anatomical structures.
2.6. Generation of whole-brain structure ontology
To generate a unifying hierarchical ontology for both developing and adult human brains with each structure having a unique identification code, we first subdivided the brain into three major parts: forebrain, midbrain and hindbrain. Under each major part, we created four main branches: gray matter, white matter, ventricles and surface structures (e.g., cortical sulci and gyri). Under the gray matter branches two types of brain structures were separated: transient and permanent ones. Under the transient structures we listed all structures that only appear during development and not exist in adult brain (see Table 1 for detailed transient structures). Under the permanent structures we listed all structures that exist in both developing and adult brains (for details see Table 3 of Ding et al., 2016). Table 1 also lists abbreviations for the main brain structures shown in this study.
2.7. Creation of prenatal human brain atlases
For the specimen at PCW 15, a total of 115 Nissl-stained sections were produced at 1.04 mm spacing. For annotation 46 slides were chosen, including 23 from slab 1 (~1 mm sampling density for the first 7 Nissl-stained levels, ~0.5 mm for the remaining 16 ones), and 22 from slab two (~0.5 mm sampling density for the first 16 Nissl-stained levels, ~1 mm for the remaining 6 ones), and a single additional section effectively between slabs one and two. For the specimen at PCW 21, four slabs were generated due to its larger size than the PCW15 brain. Each of these four slabs were sectioned into 174 Nissl-stained sections with 3 per 1.2 mm. A total of 81 - stained levels were chosen for annotation for anatomical atlas of this stage including 13 from slab 1 (~1.2 mm sampling density), 32 from slab 2 (~0.5 mm sampling density), 22 from slab 3 (~0.5 mm sampling density for the first 16, ~1.2 mm sampling density for the remaining 6), and 14 from slab 4 (~1.2 mm sampling density). These particular sections were chosen to represent the anatomy with a frequency that corresponded with the structural complexity of the regions contained at that plane of section. In very frontal and occipital regions, for example, it is not necessary to densely sample cortical regions that are large and do not change much from section to section. In contrast, in middle regions containing many small subcortical regions the sampling density was increased to match that complexity and not miss any small structures (i.e., more Nissl-stained sections were chosen for annotation). The position of each chosen section in a given slab was marked.
Annotation of the present brain atlases was performed similarly to that of our digital adult human brain atlas (Ding et al., 2016). Briefly, annotation drawings were done on printouts of the Nissl-stained sections and then digitally scanned. Digital cartographic translation of expert-delineated Nissl printouts was performed using Adobe Creative Suite 5. The resulting vector graphics were then converted to Scalable Vector Graphics (SVG). Each polygon was then associated with a structure from the ontology (see Table 1). Collating polygons in this way allows the flexibility to create various presentation modes (e.g., with or without colorization and transparency). The brain structures were colorized to assist users with identifying structures across different sections (see Appendices 1 and 3). Gross ontological groups (“parents”) were assigned hues from a range of the color spectrum. Each structure within a given parent group (“child”) was given a variation of the parent hue according to its relative cellular contrast in Nissl stain. The following general principle was applied: the higher the density, the deeper the shade (i.e., addition of black to hue); the lower the density, the deeper the tint (i.e., addition of white to hue). Large parent groups (e.g., thalamus) were assigned uniformly light variations of their principal hues to provide a visually subtle, cohesive backdrop for component substructures, which often exhibit a range of relative cellular contrasts (reflected by shades and tints). To create gene expression atlases for PCW 15 and 21 brains, we applied annotations from the anatomical atlases for each age onto the interleaved coronal ISH sections for 37 (PCW15) and 5 (PCW21) genes out of 43 (see Appendices 2 and 4). The workflow for generation of the prenatal human brain atlases is similar to the one described in our adult human brain atlas (Ding et al., 2016) and is briefly summarized in Figure 1.
3. RESULTS
3.1. Structural annotation of histological and molecular prenatal human brain datasets
To generate accurate and detailed anatomical brain atlases, we performed both histological stains (Nissl and AChE) and ISH for 43 gene probes on sequential sets of coronal cryosections from right hemisphere of two mid-gestation brains (PCW 15 and 21). With the anatomical atlases as a guide, we also annotated the spatial expression of 37 and 5 genes in the brain at PCW 15 and 21, respectively; these are treated as prenatal molecular brain atlases. The anatomical and molecular atlases for the brain at PCW 15 are presented in Appendices 1 and 2, respectively. The similarly generated anatomical and molecular atlases for the brain at PCW 21 are presented in Appendices 3 and 4. All appendices have online links for cellular resolution histology and ISH images (1.0 μm/pixel). Example plates of annotated anatomical atlases from the two brains are shown in Figure 2 (where a and b designate PCW 15 and PCW 21, respectively). Delineation of anatomical boundaries of different cortical layers and brain regions are detailed below with emphasis mainly on the brain at PCW 15 although some major molecular features from the brain at PCW 21 are also described for comparison.
3.2. Delineation of prenatal neocortical layers
PCW 15:
In Nissl preparations, seven neocortical layers can be generally identified. For example, from the pia to the lateral ventricle (LV) of the medial occipital cortex, these layers include the subpial granular zone (SG), marginal zone (MZ), cortical plate (CP), subplate (SP), intermediate zone (IZ), subventricular zone (SZ) and ventricular zone (VZ) (Fig. 3a). The SZ can be further subdivided into less densely packed outer and more densely packed inner parts (SZo and SZi, respectively) with SZi adjoining VZ, which is the most densely packed zone near the LV (Fig. 3a). However, evidence for the existence of two subdivisions of the SP is not observed although the two portions were reported for human brains at PCW 13 and 14 (Kostovic & Rakic, 1990). At PCW15, the outer fiber zone (OF) begins to appear in the outermost part of the SZo, deep to the IZ. The OF is positive for AChE staining (see the AChE plates in Appendix 1). To confirm and accurately to delineate the developing neocortical layers, we analyzed the large set of ISH data described above and found that many genes display layer-specific expression patterns. For instance, in the medial occipital/visual cortex (Fig. 3), PAX6 and TBR2 (EOMES) are selectively expressed in the proliferative zones VZ and SZ with strongest PAX6 and TBR2 expression in VZ and deepest SZ (SZd), respectively (Fig. 3b, c). SZd was sometimes termed as the border zone (BZ) between SZ and VZ. Interestingly, inner part of the VZ (VZi, near LV) does not show TBR2 expression (Fig. 3c). VIM, SOX2 and FABP7 are also dominantly expressed in VZ and SZ (VZ>SZ) but with weak expression in CP (Fig. 3d, g, h). In contrast, GRIK2 and SATB2 are selectively expressed in the postmitotic zones IZ/OF, SP and CP. Specifically, GRIK2 is dominantly expressed in SP and deep CP with weak expression in IZ while SATB2 is mainly expressed in IZ/OF with weak expression in SP and CP (Fig. 3e, f). Some genes (e.g., ENC1) are strongly expressed in both proliferative (VZ, SZ) and post-mitotic (CP) zones (Fig. 3i).
To examine whether more anterior neocortical regions display similar or different laminar organization we investigated the same set of genes expressed in the dorsomedial frontal neocortex (Fig. 4). In this region, all the cortical layers are visible with relatively thick SP compared to CP (Fig. 4a). Compared to the occipital region, the existence of the OF in the frontal cortex is more visible and thicker. The OF contains many radially oriented SZ cells (Fig. 4a) and is thus included in the outermost part of SZo in the present atlas (i.e., the OF is not annotated separately from the SZo in Appendix 1). In the frontal cortex, VIM, SOX2, PAX6 and TBR2 have similar expression patterns as in the occipital cortex (e.g., Fig. 4a–c). Compared to the occipital cortex, FABP7 shows stronger expression in CP (Fig. 4d) although expression in other zones is comparable to the occipital cortex. LMO4 is selectively expressed in the CP (Fig. 4e) while this expression in the occipital cortex is not obvious (see Appendix 2). GRIK2 display strong expression in CP, SP and IZ of frontal cortex (Fig. 4g), while it is mainly expressed in SP of occipital cortex (Fig. 3e). SATB2 in the frontal cortex has strong expression in CP, SP, IZ and OF (Fig. 4h), while only the OF has strong expression in the occipital cortex. In addition, ETV1 expression appears in the deep CP (Fig. 4f), but is not detected in the occipital cortex (not shown). The differential gene expression could reflect differential maturation across the cortex as well as regional differences. Additional data on later stages are needed to address this issue. Finally, it is noted that the inner fiber zone (IF), which is a cell-sparse zone located between SZo and SZi (see Fig. 5a), is not clearly distinguishable in most of the neocortical regions at PCW 15 (e.g., Fig. 4a) except in the middle lateral region (mainly parietal cortex, see the Nissl plates in Appendix 1).
PCW 21:
On Nissl-stained sections, all the cortical layers that appeared at PCW 15 can be identified at PCW21, although changes in their relative thickness are observed. In the occipital/visual cortex, the thickness of CP and SZo is greatly increased and outer and inner CP (CPo and CPi) are distinguishable (Fig. 5a). A major feature of the neocortex at PCW 21 is the clear presence of the IF across all neocortical regions (e.g., Fig. 5a). The IF was reported to be immunoreactive to SLIT-ROBO Rho GTPase activating protein 1 (see Molnár & Clowry, 2012). Some callosal fibers may contribute to this IF zone since the callosal fibers appear to extend in this zone from medial to lateral aspects (see Nissl plates in Appendices 1 and 3). Tangential migrating cortical interneurons, which are derived from the ganglionic eminence (GE), are mainly located in this zone before invading the CP. At PCW 21, NPY expression is mainly located in the SP of all neocortical regions and in the middle CP layers (future layers 3 and 4) of V1 (Fig. 5e). Strong PAX6, TRB2 and VIM expression is restricted in the proliferative zones (SZo, SZi and VZ) of the neocortex, similar to the findings from PCW 15. The OF and IF at PCW 21 still contain a lot of SZo cells and thus are included in the SZ (SZo) in our atlas plates (Appendix 3). SST is an additional marker for the SP at PCW21 (Appendix 4).
3.3. Delineation of prenatal neocortical areas
PCW 15:
On Nissl-stained sections, obvious differences among neocortical regions were not observed at PCW 15. However, an anterior-posterior (A-P) gradient of gene expression in neocortex was observed. For instance, LMO4 displays strong expression in the CP of frontal and temporal cortices with gradually weaker expression in parietal and occipital cortices (Fig. 6a, b). In contrast, NPY expression in the CP is stronger in temporal (Fig. 6c) and occipital cortices than in parietal (Fig. 6c) and frontal (Fig. 6d) cortices. NPY expression in the SP also shows regional difference with relatively stronger expression in posterior and lateral neocortex and weaker expression in anterior and medial neocortex (Fig. 6c, d). In addition, NTRK2 shows weak expression in the SP and CPi of frontal neocortex but gradually stronger expression in parietal, temporal and occipital cortices, and is strongest in occipital neocortex (see Appendix 2). A-P differences in FABP7, LMO4, GRIK2 and SATB2 expression in different layers also occur between dorsomedial frontal and occipital cortices (compare Fig. 3 to Fig. 4). However, primary sensory (V1, A1 (primary auditory) and S1 (somatosensory)) cortices and primary motor cortex (M1) are not distinguishable from adjoining areas at PCW 15. The cingulate cortex can be identified based on its differential expression patterns of genes such as ETV1, ENC1 and LMO4 from adjoining regions (see Appendix 2). Therefore, frontal, parietal, temporal, occipital and cingulate cortices can be roughly identified at PCW 15.
PCW 21.
In addition to the identified major neocortical regions described above, one important feature at PCW 21 is that V1 can be distinguished from the secondary visual cortex (V2) on ENC1-, GAP43-, LMO4- and NPY-ISH sections (Fig. 5b–e) although the borders are not yet discernable based on Nissl staining (Fig. 5a). Generally, the former three genes are much less expressed in V1 than in V2 (Fig. 5b–d), while NPY is strongly expressed in the deep CP of V1 compared to V2 (Fig. 5e). However, A1 and S1 cannot be well distinguished from adjoining cortices. Subtle difference between M1 and S1 appears at PCW 21, for example, on ENC1-, PLXNA2-, NRGN- and ETV1-ISH sections. These gene markers clearly display layer 5 of the neocortex. As M1 has a well-developed and thicker layer 5 than S1, which shows a weaker layer 5, the border between M1 and S1 can be roughly established at PCW 21 (see Appendix 4). Similarly, the cingulate cortex can be identified at PCW 21 more easily than at PCW 15 based on the expression patterns of ETV1, ENC1, LMO4, PLXNA2 and NRGN (see Appendix 4). For example, ETV1 and NRGN are strongly expressed in both anterior and posterior cingulate cortex but only weakly in the adjoining neocortex (see Appendix 4). Finally, the dysgranular and granular insular cortex (Idg and Ig, respectively) can also be identified at PCW 21 based on Nissl stain, gene expression patterns, and its relationship with the claustrum, located deep to the insular cortex and displaying strong GRIK2 and LMO4 expression.
3.4. Delineation of the layers in prenatal allocortex and periallocortex
In contrast to the neocortex, which typically has six well-defined cortical layers, the allocortex, which includes the hippocampal formation (HF or archicortex) and olfactory cortices (mainly the piriform cortex, Pir), generally displays three major layers in mature cortex. As in the mature brain, the prenatal Pir is a three-layered, easily identified structure, and as such is not further described in this study. The HF in this study mainly contains the hippocampus [dentate gyrus (DG) and hippocampal subfields (CA1-4)] and the subicular cortex [prosubiculum (ProS) and subiculum proper (S)]. The cortical region located between allocortex and neocortex is usually termed periallocortex, which includes peripaleocortex and periarchicortex. The former mainly includes agranular insular cortex (Iag) and agranular temporal insular cortex (area TI) while the latter includes entorhinal cortex (EC), perirhinal cortex (PC or area 35), presubiculum (PrS), parasubiculum (PaS) and retrosplenial cortex (RSC: areas 29 and 30) (see Table 1 and Ding et al., 2016). The periallocortex has more than three layers (4 to 6 or 7 layers) and these layers are usually not equivalent to the neocortical layers. Note that other related terms were also used in literature. For example, subicular complex was used to include ProS, S, PrS and PaS (e.g., Ding, 2013). The medial temporal cortex (MTC) was used to contain PrS, PaS, EC and PC (i.e. area 35) (similar to periarchicortex without RSC). The following description mainly focuses on the HF and MTC.
PCW15:
On Nissl preparations, the typical laminar organization of the HF is obvious at this stage (Fig. 7a). Many genes show clear expression patterns in distinct layers or sublayers of the HF. The expression patterns of 16 genes are shown as examples (Fig. 7b–p). Specifically, the CP of the HF (i.e., hippocampal plate) expresses FADS2, FOXP1, ETV1 and SYNGAP1 in its full thickness, while the inner CP (CPi) expresses additional genes such as FEZF2, NRTK2, NRGN and SHANK3. FABP7, FADS2 and NTRK2 are strongly expressed in the VZi while strong expression of VIM is seen throughout the VZ. Interestingly, TBR2 expression appears to concentrate at SZi/VZo border or deepest SZ (SZd). The SP expresses GRIK2, while GAP43, FOXG1 and ENC1 are strongly expressed in the SZi, CP and SP, but weakly in IZ. In the MZ strong expression was found for GAP43 (Fig. 7c), ERBB4, DCX, RELN and CALB2 (see Appendix 2). Interestingly, SZo is not identified in the HF and MTC. As shown in Figure 8, only the thinner VZ and SZi, but not the thicker SZo, extend from temporal neocortex into the MTC and HF. The SZi is recognizable by lower expression of TBR2 (Fig. 8a) and VIM (Fig. 8b) compared to the VZ and SZo. The existence of SZi in the MTC and HF are also revealed by the strong expression of TBR2 in the SZd (Fig. 8a).
PCW 21:
All the layers of the HF and MTC seen at PCW 15 can be identified on Nissl-stained and ISH sections at PCW 21. These layers include MZ, CP, SP, IZ, SZi and VZ (Fig. 9a). Layer-specific gene expression is also observed. SOX2, FOXG1, ENC1, GAP43, NTRK2, SHANK3, SYNGAP1, LBX1, LHX2, NRGN, LMO4, DCX (see Appendix 4) and NES (Fig. 9a) are strongly expressed in the CP while FOXP1 and CNTNAP2 expression (Fig. 9c) are strongly expressed in the inner CP (CPi). RELN is expressed in MZ (Fig. 9b), and NPY, SST, PLXNA2 (see Appendix 4) and GRIK2 (Fig. 9d) in SP. Finally, PAX6 is lightly expressed in SZi (Fig. 9e) and SOX2, VIM (not shown) and GFAP strongly in VZ (Fig. 9f). The thick SZo does not extend from the temporal neocortex into the MTC and HF, as demonstrated using SZo markers such as FABP7 (not shown), NES, PAX6, TBR2 and VIM (Figs. 9a, e; 10a, d). In the MTC, ETV1 and NRXN1 are also mostly expressed in layers 5-6 of the EC (Fig. 11a–c). In contrast, GRIK2 and LMO4 are mainly expressed in layers 2-3 of the EC with relatively lower expression in L5-6 (Fig. 11d, e).
In summary, a striking feature of the HF and MTC appears to be its lack of SZo, which is one of the thickest neocortical layers at PCW15 and 21. The thickness of SZo in temporal neocortex is dramatically reduced towards the border with the perirhinal cortex (PC, Fig. 8) and the SZo is not observed in the MTC and HF (Figs. 8; 9; 10). At PCW 21, the VZ and SZi extend from the temporal neocortex into the HF with gradually narrowing of their thickness towards the DG (e.g., Figs. 9a; 10a, d).
3.5. Delineation of the subregions in prenatal allocortex and periallocortex
PCW 15:
To investigate whether regional difference can be distinguished in the prenatal allocortex and periallocortex, we analyzed and compared gene expression patterns in different regions of the HF and MTC, and between the MTC and neocortex. At PCW 15, the granular layer of the DG (DGgr) is recognizable from the remaining HF (Fig. 7a, b). The polymorphic layer of the DG (DGpm) can also be roughly identified in GRIK2, GAP43, FABP7, and ENC1-ISH sections (Fig. 7b, c, d, h). However, subfields CA1-3 are not yet distinguishable within the HF although the boundary between the HF and MTC is appreciable (Fig. 7d, e, g, h, k, l). Interestingly, strong VIM and TBR2 expression is observed in the so-called dentate neuroepithelial stem cell zone (DNS; see Nelson et al., 2020) while VIM and NTRK2 are strongly expressed in another transient zone called dentate-hippocampal transient cell zone (DHTC), which is located immediately dorsal to the DNS (Fig. 7i, m). The boundaries between the MTC and neocortex are identifiable based on expression patterns of some genes in addition to the lack of SZo in the MTC. For instance, SATB2 displays strong expression in the entire CP and IZ and moderate expression in the SP of the insular and temporal neocortex (Fig. 12a, b). In contrast, strong SATB2 expression is only seen in the IZ and CPi (layers 5-6) of the lateral EC (LEC; Fig. 12a) and in layer 5 of the medial EC (MEC; Fig. 12b and the inset in b).
In addition, differential gene expression patterns in LEC versus MEC can also be identified. For example, strong expression of NTRK2 (Fig. 13a), GRIK2 (Fig. 13b), ETV1 (Fig. 13c) and GAP43 (Fig. 13d) is observed in layer 2 of the LEC, which is located anteriorly at the level of the amygdala. In contrast, ETV1 (Fig. 13e) and NTRK2 (Fig. 13h) are not expressed in layer 2 of the MEC, which is at the posterior levels and adjoins the HF. Layer 2 in both LEC and MEC expresses GAP43 (Fig. 13d, g) and areas 35 (A35) and 36 (A36) extend along both LEC and MEC. The borders of A35 with the EC and A36 can also be appreciated at both anterior (Fig. 13a–d) and posterior (Fig. 13e–h) levels based on combined gene expression patterns. At the anterior level, for example, GRIK2 is strongly and weakly expressed in layers 2-3 of the LEC and A35, respectively (Fig. 13b) and the reverse is true for ETV1 expression (Fig. 13c). At the posterior level, clear and faint CNTNAP2 expression is observed in layer 2 of the MEC and A35, respectively (Fig. 13f). The border between A35 and A36 can be identified based on ETV1 expression since strong and faint expression exists in A35 and A36, respectively (Fig. 13e). In contrast, the border between A36 and the laterally adjoining temporal cortex is relatively difficult to be placed. However, subtle expression difference exists in the density and intensity of certain genes. For instance, the density and intensity of ETV1 expression is lower in A36 than in the lateral neocortex (Fig. 13e).
PCW 21:
Regional differences within the HF are clear at PCW 21. For instance, the subiculum (S) strongly expresses CNTNAP2, GRIK2 (Fig. 9c, d), ETV1 and FEZF2 (Fig. 10b, c) while adjoining HF regions (e.g., ProS, CA1-3) display very low expression of these genes. Alternatively, some genes such as TBR2 and VIM show strong expression in the DGpm and DNS but not or little expression in other HF regions (Fig. 10a, d). The DNS also strongly expresses PAX 6, GFAP (Fig. 9e, f), SOX2, and NTRK2 while the DHTC express strong GFAP, weaker VIM, SOX2 and NTRK2, and no or low TBR2 and PAX6 (see Appendix 4). The regional difference between MTC and neocortex at PCW 21 is even more obvious than that at PCW 15 (Fig. 12c, d). LEC and MEC have strong SATB2 expression in layers 5-6 and layer 5, respectively (Fig. 12c, d). In the PrS and PaS, strong SATB2 expression is seen in the superficial rather than deep layers (Fig. 12d). In contrast, no SATB2 expression is observed the subiculum and hippocampus (Fig. 12d). The borders of A35 with the LEC and A36 can be identified based on the relatively weaker expression of ETV1, NRXN1 and GRIK2 in A35 compared to the LEC and A36 (Fig. 11a–d). The border between A36 and the lateral temporal neocortex can also be roughly determined based on the relatively weaker expression of ETV1, GRIK2 and NRGN in A36 than in the temporal cortex (Fig. 11b, d, f).
3.6. Delineation of cerebral nuclei
PCW 15:
Strong gene expression was found in specific cerebral nuclei and these are helpful in their delineation. For example, CALB2 expression is observed in the medial (Me), anterior cortical (CoA) and parts of the lateral (La) nuclei of the amygdala (Fig. 14a). Other such regional expression patterns are NPY, SST, FOXG1 and DLX1 in the bed nucleus of terminalis (BNST); ETV1 expression in the external part of globus pallidus (GPe) and basolateral nucleus (BL; Fig. 13c) of the amygdala; NTRK2, GRIK2 (Fig. 13a, b) and SST expression in central nucleus (CEN) of the amygdala; FOXP1 and NPY expression in caudate nucleus (Ca) and putamen (Pu); GRIK2 (Fig. 13b) and LMO4 expression in claustrum; NKX2.1 and ZIC1 expression in GPe; and RELN and LMO4 expression in GPi. In addition, ZIC1 is strongly expressed in septal nucleus (SEP) and basal nucleus of Meynert (BNM). It should also be pointed out that strong transient expression of CALB2 (Fig. 14a) and PAX6 is observed in the space between the GPe and GPi. We refer to this zone as inter-pallidal transient cell zone (IPTC; Fig. 14a). CALB2 is also expressed in the transient cells located between GPe and Pu (Fig. 14a). Expression of all above mentioned genes is shown in Appendix 2.
PCW 21:
In Nissl preparations, the major subdivisions of the amygdala can be identified (Fig. 11a). In ISH sections, ETV1 is mostly expressed in the BL, while NRXN1, GRIK2, LMO4 and NRGN are expressed in the BM, BL and La with various intensity in each subdivision (Fig. 11c–f). Strong GRIK2 and NRGN expression is also observed in the anterior cortical nucleus of the amygdala (CoA; Fig. 11d, f). Gene expression patterns in other cerebral nuclei are similar to those at PCW 15 (see above).
3.7. Delineation of the thalamic and hypothalamic nuclei
Delineation of the thalamic nuclei at PCW 15 and 21 is mainly based on multiple region-specific gene markers such as CALB2 (Figs. 14, 15), CNTNAP2, PLXNA2, GRIK2, ETV1, NTRK2, ZIC1 and ENC1 (see Appendices 2 and 4) as well as AChE staining (Fig. 16). CALB2 is expressed in many thalamic nuclei including paraventricular (PaV), central medial (CeM), central lateral (CL), lateral dorsal (LD), ventral anterior (VA), ventral lateral (VL), reticular (R), subparafascicular (SPf), medial geniculate (MG), posterior intralaminar nucleus (PIL), limitans-suprageniculate (LSG) and lateral posterior (LP) nuclei, as well as anterior nuclear complex (ANC; mainly AV and AM), pulvinar (Pul) and dorsal lateral geniculate nucleus (DLG) (Figs. 14a–c; 15a–g). Strong expression of CNTNAP2 occurs in mediodorsal (MD), centromedian (CM), habenular (HN) nuclei and DLG of the thalamus, and PLXNA2 expression in CM, parafascicular (Pf) and ventral posterior lateral (VPL) nuclei. In addition, ZIC1 is a reliable marker for ANC, PaV, DLG, LD, Pul and medial HN (MHN) while NRGN, SOX2, ZIC1 and ETV1 are strongly expressed in MHN (see Appendices 2 and 4). As shown in Figure 14b and 14d, gene expression patterns are more helpful in the delineation of the thalamic nuclei than Nissl. For instance, strong and weak CALB2 expression respectively in DLG and PG (VLG) allows an easy differentiation of the two structures (Fig. 14b) whereas this is difficult in Nissl-stained sections (Fig. 14d). Interestingly, we observe a region that is the likely equivalent of the mouse posterior intralaminar nucleus (PIL; Wang et al., 2020) in terms of its topographical relationship with adjoining regions and molecular signature. As in mouse, the PIL adjoins MG, SPf, posterior thalamic nucleus (Po), VPM, LSG, peripeduncular nucleus (PP) and pretectal nucleus (PTN) and has strong expression of CALB2, GRIK2, LHX2, NRGN and NTRK2 (see Appendices 2 and 4). Finally, it should be mentioned that AChE is a useful marker for the identification of the MD at PCW 15 (Fig. 16a) and 21 (Fig. 16b, c) and of the ventral posterior medial nucleus (VPM) and its parvocellular part (VPMpc) at PCW21 (Fig. 16c).
Genes with regional expression in hypothalamus at PCW 15 and 21 includes CALB2, which has strong expression in the ventromedial nucleus (VMH), perifascicular nucleus (PeF) and posterior hypothalamic nucleus (PHN) (Fig. 14a, b), and SST, which is expressed in the dorsomedial nucleus (DMH), paraventricular nucleus (PV) and lateral hypothalamic region (LH) (see Appendices 2 and 4). Other genes with region-specific expression include GRIK2 in DMH; DLX1 in anterior hypothalamic nucleus (AHN); ZIC1 in suprachiasmatic nucleus (SCN) and PeF; FOXG1 in medial preoptic nucleus (MPN); LMO4 and RELN in the PV; NKX2.1, CDH4 and NTRK2 in VMH, and NRXN1 in PHN and arcuate nucleus (Arc) (see Appendices 2 and 4).
3.8. Delineation of cerebellum and major brainstem structures
Cerebellar cortex at PCW 15 displays an immature shape with clear and thick external granular layer (EGL) and upper rhombic lip (URL) superficially, while deep cerebellar nuclei (CbDN) have formed in the center of the cerebellum (Fig. 17a–j). The EGL has strong expression of PAX6 (Fig. 17b, c) and ZIC1 while ERBB4 and GRIK2 are mainly expressed underneath the EGL (Fig. 17h). The URL contains strong ZIC1 and TBR2 expression (Fig. 17j). CbDN shows strong expression of GAP43, CALB2, NRNX1, ERBB4 in the fastigial (Fas), interpositus (InP) and dentate (DT) nuclei (Fig. 17e–h), while GRIK2 is mainly expressed in DT (Fig. 17i). These results are consistent with patterns observed in the mouse (e.g., Fig. 17n–q). It should be noted that RELN is not expressed in CbDN but present in surrounding cerebellar regions (Fig. 18e, f). In addition, some genes are mostly expressed in EGL of the vermis (e.g., SST) while others are strongly expressed in transient Purkinje cell clusters (TPC) (e.g., CNTNAP2 and NRXN1; see Appendix 2).
In the midbrain, a rough lamination in the superior colliculus (SC) has formed at PCW15 with FOXP1 and VIM expressed in the inferior gray layer (InG). VIM is also expressed in the periaqueductal gray region (PAG) (see Appendix 2). In the inferior colliculus (IC), central IC nucleus (CIC; Fig. 17k) has strong expression of ENC1 (Fig. 17l), NRGN and NPY, the latter being also strongly expressed in the cuneiform nucleus (CnF; Fig. 17m). The cortical (or external) IC (CxIC) displays expression of RELN (Fig. 18c–e). The red nucleus (RN) shows strong expression of CNTNAP2, GRIK2 and NTRK2, while the substantia nigra (SN) strongly expresses ENC1 and FABP7. In addition, the parabrachial pigmented nucleus (PBP) located between RN and SN has strong RELN expression (Fig. 18a). RELN is also strongly expressed in the median raphe nucleus (MnR) and the oculomotor nucleus (3N) (Fig. 18b, c). In the lower brainstem (pons and medulla), ZIC1, RELN and SST are strongly expressed in the vestibular nuclei (8Ve) and external cuneate nucleus (ECu) (Fig. 18f, g) while ENC1, ETV1, FOXP1 and PLXNA2 (see Appendix 2) are expressed strongly in the inferior olive (IO). RELN is strongly expressed in the reticulotegmental nucleus (RtTg), lateral lemniscus nucleus (LLN), IO, and medullary reticular formation (MoRF) (Fig. 18b, d, e, f). VIM expression is found in 3N, Edinger-Westphal nucleus (EW) and abducens nucleus (6N) (see Appendix 2). Finally, the pretectal nuclear complex (PTN) contains strong expression of RELN (Fig. 18b), FABP7 and NPY (see Appendix 2).
3.9. Delineation of the ganglionic eminence subdivisions
The ganglionic eminence (GE) mainly consists of three major parts, MGE, LGE and CGE (Hansen et al., 2013; Ma et al., 2013). In this study, the boundary between GE and adjoining cortical regions can be clearly identified with the gene markers TBR2 and DLX2 or DLX1. TBR2 (i.e., EOMES) reveals no expression in GE but strong expression cortical regions, while the reverse pattern is seen for DLX2 and DLX1 (Fig. 19a, b, g, h). Complementary expression patterns of NKX2-1 and ERBB4 are observed MGE and LGE, making it easy to distinguish them (Fig. 19d, e). The border between LGE and CGE is not sharp but CGE has much stronger expression of CALB2 than LGE (Fig. 14b), and the reverse patterns occurs for ERBB4 (CGE < LGE; Fig. 20a–c). Therefore, in this study, the LGE-CGE border was placed based on complementary expression of CALB2 and ERBB4. This border has been shown previously on the basis of COUP-TFII expression (Alzu’bi et al., 2017a; Reinchisi et al., 2012), and we find that the pattern of CALB2 is similar to that of COUP-TFII. The sulcus located between the striatum (GE) and the cortex, termed here striatal-cortical sulcus (SCS; indicated by arrows in Fig. 19a–c, g–i), does not appear to be a reliable landmark for the striatal-cortical border. As shown in Figure 19, the NTRK2-enriched striatal-cortical boundary (SCB, or subpallial-pallial or pallial-subpallial boundary, see Carney et al., 2009; Puelles et al., 2000; Fig. 19c, i) is located at the striatal side at PCW 15 (Fig. 19a–c), while at PCW 21 it is at the cortical side (Fig. 19g–i). Also, the SCB is enriched with CALB2, DLX2, ERBB4, PAX6 and DLX1 (Fig. 19b, e, f, h).
In general, gene expression in the GE of the prenatal human brains is heterogenous with some gene expression in different zones within the GE. In MGE, for instance, distinct gene expression between its ventricular zone (VZ or inner part) and subventricular zone (SZ or outer part) and among different regions of the SZ is observed. Specifically, some genes are expressed in both VZ and SZ (e.g., NES, VIM and NKX2-1, see Fig. 19d) with others exclusively or dominantly in SZ (e.g., DCX, DLX5, DLX1 and DLX2; see Fig. 19b, h) or VZ (e.g., VIM, NTRK2 and PAX6; see Fig. 19c, f, i). In LGE, heterogenous gene expression in its VZ and SZ is also observed for genes such as FABP7, DLX2, NTRK2, ERBB4 and DLX1 (Figs. 19b, c, e, h, i and 20a–c). Within the SZ of both LGE and MGE, region-dominant or complementary gene expression is visible, with stronger expression of DCX, DLX1 and DLX5 in the inner portion of the SZ than in the outer portion and a reverse expression pattern for ERBB4, NES and VIM (see Appendix 2).
3.10. Gene expression in olfactory bulb and anterior olfactory nucleus
At PCW 15, the olfactory bulb (OB) has obvious but immature lamination. From its outer to inner aspects, these layers include olfactory nerve (ON), glomerulus (GL), mitral cell (MC) and granular cell (GC), SZ and VZ (Fig. 21a–p). An incipient external plexus layer (ep) is also observed between GL and MC but the internal plexus layer is not well-defined. A number of genes show a strong expression in GL (VIM, NTRK2, FADS2, SOX10 and LMO4), MC (TBR2, GRIK2, LBX1, NTRK2, RELN, TBR1, LHX2, GAP43, DCX, DLX1, DLX5, NES, SYNGAP1, MECP2, SHANK3, FEZF2, CNTNAP2, GFAP, CDH4 and LMO4), GC (DCX, FEZF2, LBX1, DLX1, SHANK3, CNTNAP2 and LHX2), SZ (CALB2, DCX, PAX6 and ZIC1), and VZ (VIM, TBR2, PAX6, FABP7, LHX2, FADS2, FOXG1, LBX1, ZIC1, ETV1 and CDH4). The SZ and VZ is part of the proliferative rostral migratory system (RMS). Note that the dorsal but not ventral walls of the VZ in the RMS strongly expresses TBR2 (Fig. 21p). Interestingly, in addition to the OB lamination there exist patches within the OB (marked with # in Fig. 21) that are positive for ENC1, GRIK2, LBX1, TBR1, LHX2. MECP2, CDH4, FEZF2, DCX, LMO4, PLXNA2, NKX2.1, FADS2, and GAP43, and negative for TBR2, RELN, CALB2, PAX6, ZIC1 and DLX1 (Fig. 21).
The anterior olfactory nucleus (AON) is featured by strong expression of ENC1, GRIK2, LBX1, GAP43, TBR1, CDH4, LHX2 andMECP2 (Fig. 21f, g, j, l, n, o). The AON shows no expression of PLXNA2, LMO4, TBR2, CALB2, and RELN (e.g., Fig. 21k, p). Small patches are often seen in OB that have a pattern similar to that of the AON (e.g., Fig. 21c–g). The gene expression patterns observed in OB and AON at PCW 15 are comparable to those at PCW 21 (Fig. 22).
3.11. Brain-wide detailed anatomical and molecular atlases for prenatal human brains
Based on combined analysis of Nissl and AChE histology as well as laminar and regional gene expression patterns described above, anatomical boundaries of different cortical regions and subcortical nuclei can be accurately delineated on Nissl-stained sections. In this study, 46 and 81 selected Nissl-stained sequential coronal sections at PCW 15 and 21, respectively, were annotated in detail to generate two brain-wide anatomical atlases. The anatomical atlases for the brains at PCW 15 and 21 are presented in Appendices 1 and 3, respectively, with online links to high-resolution images. In these atlases, all cortical layers and many subcortical structures and their subdivisions are accurately demarcated based on cytoarchitecture and gene expression patterns. Furthermore, allocortex (HF and olfactory cortex), periallocortex (MTC and Iag) and their subdivisions are annotated. However, for neocortex only major cortical regions (e.g., frontal, parietal, temporal, occipital and insular cortices) could be roughly identified at PCW 15 as molecular makers did not reveal detailed regional patterns at this age although more detailed cortical segmentation could be generated for the brain at PCW 21. Finally, using the anatomical atlases as a guide, we have also annotated spatial expression of 37 and 5 genes from the brains at PCW 15 and 21, producing two brain-wide molecular atlases, which are presented in Appendices 2 and 4, with online links to high-resolution images. Although the expression of 38 genes from the brain at PCW 21 was not annotated the online links to their sequential high-resolution ISH images are presented in Appendix 4. Therefore, spatial mapping of these genes can be achieved by users using the detailed anatomical atlas (Appendix 3) as a guide, the ISH data and Nissl-stained sections used for the anatomical atlas being derived from the same brain hemisphere.
3.12. Highly interactive digital atlases for web users
The prenatal brain atlases presented in this study were used to make interactive digital resources (Fig. 23), and are publicly accessible through the Allen Institute web portal: www.brain-map.org or directly at the BrainSpan project portal: www.brainspan.org/static/atlas. The atlases may be of interest to diverse groups, including students and educators as resources of detailed anatomy of the prenatal human brains. For basic anatomy, the location, shape and relationship of general structures such as forebrain, midbrain and hindbrain, as well as cerebral cortex, thalamus, hypothalamus, amygdala, hippocampus, cerebellum and brainstem can be easily elucidated simply by using the ontology tree (Fig. 23, left column). For medical students and neuroscience professionals, deeper systematic learning and teaching of human brain development can be conveniently achieved via the menu and different tools (Fig. 23, inset, thumbnails and right column). In particular, one can search or choose any specific brain region and learn its topographic location, subdivisions, cyto- and chemo-architectures. One can also choose specific A-P levels and study which structures occurs on these planes. As needs dictate, structures can be recolorized prior to printing plates using the menu (Fig. 23, inset). The ontology itself serves as an essentially complete index of brain structures and their relationships (Fig. 23, left column; Table 1).
DISCUSSION
Anatomical atlases are essential resources as for the research community, providing a detailed mapping and synthesis of knowledge about brain structure and function. Although detailed modern high-resolution human brain atlases are available for adult brains (Ding et al., 2006; Mai et al., 2016), similar atlases for prenatal human brain have not been produced. To our knowledge, only one series of anatomical prenatal human brain atlases is available, generated on limited Nissl-stained sections from different prenatal ages (Bayer & Altman, 2003; 2005; 2006). In addition, anatomical delineation in these developmental brain atlases was based only on cytoarchitecture (Nissl staining), and annotation was not complete enough to create a brain-wide hierarchical structural ontology. In the present study, we have created detailed anatomical atlases for prenatal human brain at PCW 15 and 21, aiming to advance the state of the field through dense whole-brain sampling, high information content histological and gene expression analysis, developmental ontology creation, and generation of web-based interactive tools. This reference atlas was used to guide a large-scale microarray-based transcriptomic project, available as a complementary developmental gene expression resource (Miller et al., 2014; https://www.brainspan.org/lcm/search/index.html; see Table 1 for the regions with transcriptomic data). Thus, these atlases should be valuable tools to guide newer efforts to map cell types and developing circuitry in the developing human brain, both as anatomical and gene expression resources.
A major design principle of the atlas was to use highly informative histological and gene expression datasets from the same brain specimen to guide anatomical demarcation across the entire brain at PCW 15 and 21. As demonstrated above, the combined analysis of Nissl-based cytoarchitecture, AChE staining features and spatial expression patterns of 43 genes by ISH allowed an accurate delineation of brain structures. This information was used to annotate Nissl-stained sections, but also to annotate the gene expression images and illustrate the high utility of individual genes as markers of developing brain structures. Together, these atlases provide a reference for mid-gestational human brain development and can be used to annotate other timepoints in this period. For example, we used the anatomical atlas for the brain at PCW 15 (Appendix 1) to guide a dense transcriptomic atlas of the PCW 16 brain, which was effective due to its similar cortical lamination and subcortical structures (see Miller et al., 2014). The anatomical atlas for the brain at PCW 21 (Appendix 3) was similarly created and could be applied to the human brains at ages close to PCW 21 (e.g., PCW 19-24). With guidance of these anatomical atlases, spatial expression of 37 and 5 genes was annotated to generate two brain-wide molecular atlases, which are presented in Appendices 2 and 4, respectively.
In general, this study reveals many developmental features of human brain structures that are similar to rodent as well as some human specific or dominant developmental features. Many of the latter features have been reviewed in detail recently (e.g., Kostović et al., 2019; Molnar et al., 2019) including thick SP, very thick SZo (enriched with intermediate progenitor cells), large extent of SP8 and COUP-TFI expression overlap in the VZ and an extended period of interneuronal generation and migration from the GE into the cerebral cortex in human compared to mouse. In addition, some migratory routes of interneurons were reported in human but not in mouse (Alzu’bi et al., 2017b; Alzu’bi & Clowry, 2019; Paredes et al. 2016; Rubin et al. 2010). In this study, we have observed additional human features not observed in other species. In addition to typical scattered expression in the SP, for instance, strong expression of NPY is found in the CP of the V1 at PCW 21 (Fig. 5e). This was not reported in mouse (e.g., Thompson et al., 2014) and monkey (Bakken et al., 2016). Another example is the existence of CALB2 positive patches within the Pf-CM (Fig. 15f), which were also not found in monkey and mouse (data available in the Allen Brain Atlas). The third example is that strong CALB2 expression is seen in the DLG at PCW 15 and 21 (e.g., Appendix 2) but not in mouse DLG at all prenatal stages (Allen datasets). In postnatal mice, CALB2 expression in the DLG was only observed at P14 (Allen datasets). Finally, it should be point out that the DLG at both PCW 15 and 21 is not yet laminated as in adult and thus the two subdivisions (magnocellular and parvocellular parts) of the DLG are not visible at these two stages (see Appendices 1 and 3).
Several interesting developmental features of prenatal human brain also emerged from our analysis. First, we found that the prenatal HF and EC lack the outer subventricular zone (SZo) that is prominent in developing human neocortex and thought to drive the differential expansion of supragranular layers in primate evolution. The SZo is the major site of supragranular neuron production in the macaque monkey neocortex (Lukaszewicz et al., 2005), and is also present (albeit smaller) in rodents, where common gene expression in SZo and supragranular neurons suggests they are generated from SZo (Nieto et al., 2004; Tarabykin et al., 2001; Zimmer et al., 2004). The thicker SZo in human compared to mouse is also consistent with single-cell transcriptomic findings of increased number, diversity and phenotypic specialization of supragranular neurons (Berg et al., 2021; Ortega et al., 2018). Histologically, the HF and EC obviously lack equivalent supragranular neurons in layers 2 and 3 of the neocortex (Bakken et al. 2016; Ding et al., 2009; Ding & van Hoesen, 2015). While layers 2 and 3 exist in the EC the neurons in these two layers are not equivalent to those in the neocortex. For example, layer 2 neurons in the neocortex are very small round and ovoid neurons, while those in the EC are usually very large stellate or pyramidal neurons (Braak & Braak, 1991; Ding et al., 2009; Ding & van Hoesen, 2010). Gene expression and connectivity patterns of layers 2 and 3 in the EC are also different from the neocortex (e.g., Bakken et al., 2016; Ding et al., 2020; Yao et al. 2021). Pathologically, layer 2 neurons in the EC are among the earliest neurons with tau lesions in aging and Alzheimer’s disease (AD) populations (Arnold et al. 1991; Braak & Braak, 1991; Ding & van Hoesen, 2010). However, this is not true for layers 2 and 3 neurons in the neocortex, which are affected at later stages of AD (Arnold et al., 1991; Braak & Braak, 1991). Therefore, our findings suggest that layers 2 and 3 neurons in the PrS, PaS and EC are not likely produced from SZo and instead may directly originate from the SZi. As a previous study suggested, the hippocampal neurons are generated in the VZ while MTC neurons are generated in the VZ and SZ (SZi) with the latter generating the superficial neurons located in lamina principalis externa (Nowakowski & Rakic, 1981).
We found evidence for compartmentalization of the ganglionic eminence (GE) in developing human cortex, similar to multiple progenitor domains that have been reported in mouse GE (Flames et al., 2007). In addition to the three well-known subdivisions of the GE (MGE, LGE, CGE), each subdivision can be further divided into VZ and SZ parts that continue at the SCB with cortical VZ and SZ, respectively. The VZ and SZ of the GE displayed differential gene expression within each GE subdivision, and cross over between GE subdivisions (e.g., Fig. 19). Moreover, complex gene expression patterns within the VZ and SZ of specific GE subdivisions in human were also clearly evident. For example, NTRK2 is predominantly expressed in the VZ of CGE and LGE; furthermore, within the LGE, NTRK2 expression in the VZ is generally stronger in lateral LGE (and SCB) than in medial LGE (see Appendix 2). Gene expression in the SZ of LGE is also not homogeneous. For instance, FABP7 expression in the SZ of the LGE is stronger in lateral than medial parts (see Appendix 2), while NKX2.1 expression is seen in the most medial but not lateral parts of the SZ in addition to strong expression in MGE. Interestingly, ERBB4 expression displays both A-P and M-L difference in the SZ of the LGE. Specifically, ERBB4 is much more strongly expressed in the SZ of the latero-caudal part of the LGE (including SCB) compared to the medio-rostral part (see Appendix 2). Finally, SST, NPY, VIM, FABP7 and ERBB4 expression is also compartmentalized in MGE (see Appendix 2). These observations likely represent a combination of parcellation of progenitor zones and developmental gradients across the GE.
ERBB4 expression in the GE is significantly different between human and rodents. Previous studies in rat and mouse reported that ERBB4 is mostly expressed in the SZ of MGE (i.e. not in LGE and CGE) (Fox & Kornblum, 2005; Yau et al., 2003). Rodent ERBB4 is mainly expressed in MGE-derived GABAergic interneurons migrating to the cerebral cortex, and this expression was reported to be important in this tangential migration (Li et al., 2012; Rakic et al. 2015; Villar-Cerviño et al., 2015). In contrast, we found in human that ERBB4 is strikingly enriched in LGE rather than MGE. This raises the possibility that human LGE generates cortical interneurons that express ERBB4 and migrate tangentially through the SZ and VZ (see Appendix 2). Alternatively, this may simply reflect a species difference in ERBB4 expression such that OB-bound interneurons from the LGE now express ERBB4, or that ERBB4-expressing interneurons are mostly generated in MGE as in rodents, but they are immediately channeled to LGE in human. In any event, these findings in human suggest that there may be significant differences in MGE and LGE across species, and that at a minimum ERBB4 expression and function are not conserved across species.
Another interesting observation was that markers of both cortical and striatal progenitors extend into the RMS. In mouse, the RMS is a pathway mostly consisting of interneurons migrating from LGE and SCB to OB (e.g., Bandler et al., 2017; Kohwi et al., 2005). Glutamatergic neurons also migrate in the RMS, but the source of these neurons has not been clear. In mice, these excitatory neurons derive from NGN2-expressing progenitors (Winpenny et al. 2011), and excitatory lineage markers NGN2, PAX6 and TBR2 are all expressed in the dorsal wall of the RMS (RMS-d) but also in the SCB region. TBR2, strongly expressed in developing cortical VZ and SZ, is a marker for excitatory neuronal precursors (Englund et al, 2005; Hevner, 2019). Here we found that TBR2 is strongly expressed in the developing cortical VZ and SZ and in the RMS-d (Fig. 21p), but not the SCB region (Fig. 19a, g). These findings suggest that the TBR2-expressing VZ and SZ of the neocortex extends rostrally into the OB via the RMS-d, and that excitatory neurons in OB likely originate from the ventral cortical wall rather than from the subpallial-pallial region or SCB region, both during development (this study) and into adulthood (Brill et al., 2009).
Single cell genomic profiling has become a powerful tool to define cell types (BICCN, 2020; Hodge et al., 2019; Yao et al., 2021) and developmental trajectories, and has begun to be applied in prenatal human brain development (Eze et al., 2021; Fan et al., 2020; Nowakowski et al., 2017). Whole-brain anatomical and molecular atlases such as those presented here are important resources to help guide these new cell census efforts and other high-throughput anatomical and connectional efforts in the future. The joint analysis of histology and molecular parcellation creates a needed framework for establishing the cellular and spatial basis of brain development and circuit formation, and a structured ontological framework for defining brain structures across development to adulthood.
Supplementary Material
ACKNOWLEDGMENTS
We thank the Allen Institute founders, P.G. Allen and J. Allen, for their vision, encouragement, and support. We are also grateful for the technical support of the staff members in the Allen Institute who are not part of the authorship of this paper.
FUNDING STATEMENT
The project described was supported by award numbers RC2MH089921 to ESL and MJH from the National Institute of Mental Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health and the National Institute of Mental Health.
Footnotes
CONFLICT OF INTEREST
The authors declare that there are no potential sources of conflict of interest.
ETHICS APPROVAL STATEMENT
Two prenatal human brain specimens, procured from University of Washington, were used in this study. All work was performed according to guidelines for the research use of human brain tissue and with approval by the Human Investigation Committees and Institutional Ethics Committees of University of Washington.
PATIENT CONSENT STATEMENT
Appropriate written informed consent was obtained and all available non-identifying information was recorded for each specimen.
PERMISSION TO REPRODUCE MATERIAL FROM OTHER SOURCES
We did not reproduce material from other sources.
DATA AVAILABILITY STATEMENT
The data that support the findings and atlas creation of this study are available online (www.brain-map.org or www.brainspan.org ), and available from the corresponding authors upon reasonable request.
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Supplementary Materials
Data Availability Statement
The data that support the findings and atlas creation of this study are available online (www.brain-map.org or www.brainspan.org ), and available from the corresponding authors upon reasonable request.