scholarly journals Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex

Cell Reports ◽  
2020 ◽  
Vol 31 (1) ◽  
pp. 107489 ◽  
Author(s):  
Donna M. Werling ◽  
Sirisha Pochareddy ◽  
Jinmyung Choi ◽  
Joon-Yong An ◽  
Brooke Sheppard ◽  
...  
2019 ◽  
Author(s):  
Donna M. Werling ◽  
Sirisha Pochareddy ◽  
Jinmyung Choi ◽  
Joon-Yong An ◽  
Brooke Sheppard ◽  
...  

SummaryVariation in gene expression underlies neurotypical development, while genomic variants contribute to neuropsychiatric disorders. BrainVar is a unique resource of paired whole-genome sequencing and bulk-tissue RNA-sequencing from the human dorsolateral prefrontal cortex of 176 neurotypical individuals across prenatal and postnatal development, providing the opportunity to assay genomic and transcriptomic variation in tandem. Leveraging this resource, we identified rare premature stop codons with commensurate reduced and allele-specific expression of corresponding genes, and common variants that alter gene expression (expression quantitative trait loci, eQTLs). Categorizing eQTLs by prenatal and postnatal effect, genes affected by temporally-specific eQTLs, compared to constitutive eQTLs, are enriched for haploinsufficiency, protein-protein interactions, and neuropsychiatric disorder risk loci. Expression levels of over 12,000 genes rise or fall in a concerted late-fetal transition, with the transitional genes enriched for cell type specific genes and neuropsychiatric disorder loci, underscoring the importance of cataloguing developmental trajectories in understanding cortical physiology and pathology.HighlightsWhole-genome and RNA-sequencing across human prefrontal cortex development in BrainVarGene-specific developmental trajectories characterize the late-fetal transitionIdentification of constitutive, prenatal-specific, postnatal-specific, and rare eQTLsIntegrated analysis reveals genetic and developmental influences on CNS traits and disorders


2019 ◽  
Vol 29 ◽  
pp. S75-S76 ◽  
Author(s):  
Donna Werling ◽  
Sirisha Pochareddy ◽  
Jinmyung Choi ◽  
Joon-Yong An ◽  
Brooke Sheppard ◽  
...  

2019 ◽  
Vol 85 (10) ◽  
pp. S277-S278
Author(s):  
Reed Tso ◽  
Makayla Hourihan ◽  
Sivan Subburaju ◽  
Brad Ruzicka

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Takahiro Sanada ◽  
Kyoko Tsukiyama-Kohara ◽  
Tadasu Shin-I ◽  
Naoki Yamamoto ◽  
Mohammad Enamul Hoque Kayesh ◽  
...  

2019 ◽  
Vol 49 (3) ◽  
pp. 115
Author(s):  
Jung Heon Kim ◽  
Jiyeon Kim ◽  
Bon-Sang Koo ◽  
Hanseul Oh ◽  
Jung-Joo Hong ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Steven A. Buechler ◽  
Melissa T. Stephens ◽  
Amanda B. Hummon ◽  
Katelyn Ludwig ◽  
Emily Cannon ◽  
...  

10.1186/gm471 ◽  
2013 ◽  
Vol 5 (7) ◽  
pp. 67 ◽  
Author(s):  
Kai Wang ◽  
Cecilia Kim ◽  
Jonathan Bradfield ◽  
Yunfei Guo ◽  
Elina Toskala ◽  
...  

2015 ◽  
Vol 160 (2) ◽  
pp. 301-314 ◽  
Author(s):  
Pauline A. van Schouwenburg ◽  
Emma E. Davenport ◽  
Anne-Kathrin Kienzler ◽  
Ishita Marwah ◽  
Benjamin Wright ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 924-924
Author(s):  
Anna Stengel ◽  
Alexander Höllein ◽  
Wolfgang Kern ◽  
Manja Meggendorfer ◽  
Claudia Haferlach ◽  
...  

Abstract Background: Persistent polyclonal B-cell lymphocytosis (PPBL) is a rare disorder, occurs almost exclusively in smoking women and is characterized by a chronic polyclonal lymphocytosis with circulating binucleated lymphocytes, clonal cytogenetic abnormalities involving chromosome 3, and chromosomal instability. Outcome of PPBL patients is mostly benign, but subsequent malignancies (non-Hodgkin´s lymphomas and solid tumors) were described. Potential molecular factors leading to their development are yet unclear. Aims: Detailed molecular genetic characterization of PPBL by whole genome sequencing (WGS) and RNA sequencing (RNAseq) in comparison to the well-characterized lymphoid malignancy CLL. Patient cohorts and methods: The total cohort comprised 27 PPBL (3 male, 24 female) and 250 CLL cases (163 male, 87 female). WGS was performed for all patients: 150bp paired-end reads where generated on Illumina HiseqX and NovaSeq 6000 machines (Illumina, San Diego, CA). A mixture genomic DNA from multiple anonymous donors was used as normal controls. To remove potential germline variants, each variant was queried against the gnomAD database, variants with global population frequencies >1% where excluded. Final analysis was performed only on protein-altering and splice-site variants. For further analysis, a virtual panel of 355 lymphoid genes was selected. All reported p-values are two-sided and were considered significant at p<0.05. For gene expression analysis, estimated gene counts were normalized applying Trimmed mean of M-values (TMM) normalization method and the resulting log2 counts per million (CPMs) were used as a proxy of gene expression in each sample. Genes were kept if they were expressed (> 5 CPM) in at least 66% of the samples. Genes with FDR (false discovery rate) < 0.05 and an absolute logFC > 1.5 were considered differentially expressed (DE). Results: Median age was 46 years for PPBL patients (range: 23-67 years) and 67 years for CLL patients (range: 39-94 years). Mean number of mutations per patient was 18 for PPBL and 20 for CLL. For both entities, the majority of mutations were missense mutations (88% in PPBL vs. 81% in CLL), followed by splice-site mutations (7% vs. 10%), other mutation types were only rarely detected. In PPBL, 42 genes were found to be mutated at a frequency of >15%, including ATM (22%), CREBBP (19%), NCOR2 (19%), AHNAK2 (15%), JAK3 (15%), NOTCH2 (15%) and TRAF1 (15%), all of which have been associated with a variety of cancers. Moreover, ATM, NOTCH2 and TRAF1 mutations were described before to be associated with lymphomas. In PPBL patients, mutations in TRAF1 and ATM as well as mutations in TRAF1 and NOTCH2 were found to be mutually exclusive. For CLL patients, 29 genes showed a mutation frequency of >15%, comprising ATM (26%), KMT2D (23%), NOTCH1 (23%), LRP1B (19%), TP53 (16%) and CREBBP (15%). Comparison of the mutation frequencies between the two entities revealed several genes with significant differences: whereas mutations in CKAP5 (11% vs. 2%, p=0.022), DNMT3A (11% vs. 3%, p=0.033), MAP2 (19% vs. 4%, p=0.009), ROBO1 (15% vs. 4%, p=0.046) and TRAF1 (15% vs. 2%, p=0.006) were found to be more frequent in PPBL cases compared to CLL cases, KMT2D (4% vs. 23%, p=0.014), TDRD6 (0% vs. 14%, p=0.032) and TP53 (4% vs. 16%, p=0.048) mutations were more abundantly detected in CLL patients. Moreover, NOTCH1 was mutated more frequently in CLL cases (7% vs. 23%, p=0.082), whereas mutated NOTCH2 (known to be frequently mutated in splenic marginal zone lymphoma), was more abundant in PPBL patients (15% vs. 6%, p=0.116), although both correlations were not statistically significant. Gene expression analyses by RNAseq revealed 337 genes to be differentially expressed between the entities. 207 genes were upregulated in PPBL, including PTPRK, CXCR1, BCL11B, CEPBA, CCR4 and MYC, whereas 130 genes were found to be upregulated in CLL cases, comprising ID3, BCL2, FGF2 and FLT1. Conclusions: 1) WGS analysis identifies high frequencies of cancer/lymphoma-associated gene mutations in PPBL, including mutated ATM, NOTCH2 and TRAF1. 2) Five genes showed a higher mutation frequency compared to CLL including TRAF1,DNMT3A, CKAP5 and MAP2. 3) Lymphoma associated genes (BCL11B and MYC) were overexpressed in PPBL vs CLL. 4) Taken together our results question PPBL as a benign entity and identify molecular markers that might contribute to development of subsequent malignancies. Disclosures Stengel: MLL Munich Leukemia Laboratory: Employment. Höllein:MLL Munich Leukemia Laboratory: Employment. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Walter:MLL Munich Leukemia Laboratory: Employment. Hutter:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.


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