Comprehensive integration of single-cell transcriptomic data illuminates the regulatory network architecture of plant cell fate specification

Plant morphogenesis relies on precise gene expression programs at the proper time and position which is orchestrated by transcription factors(TFs)in intricate regulatory networks in a cell-type specific manner.Here we introduced a comprehensive single-cell transcriptomic atlas of Arabidopsis seedlings.This atlas is the result of meticulous integration of 63 previously published scRNA-seq datasets,addressing batch effects and conserving biological variance.This integration spans a broad spectrum of tissues,including both below-and above-ground parts.Utilizing a rigorous approach for cell type annotation,we identified 47 distinct cell types or states,largely expanding our current view of plant cell compositions.We systematically constructed cell-type specific gene regulatory networks and uncovered key regulators that act in a coordinated manner to control cell-type specific gene expression.Taken together,our study not only offers extensive plant cell atlas exploration that serves as a valuable resource,but also provides molecular insights into gene-regulatory programs that varies from different cell types.

Single nucleus/cell RNA-seq of the chicken hypothalamicpituitaryovarian axis offers new insights into the molecular regulatory mechanisms of ovarian development

The hypothalamic-pituitary-ovarian(HPO)axis represents a central neuroendocrine network essential for reproductive function.Despite its critical role,the intrinsic heterogeneity within the HPO axis across vertebrates and the complex intercellular interactions remain poorly defined.This study provides the first comprehensive,unbiased,cell type-specific molecular profiling of all three components of the HPO axis in adult Lohmann layers and Liangshan Yanying chickens.Within the hypothalamus,pituitary,and ovary,seven,12,and 13 distinct cell types were identified,respectively.Results indicated that the pituitary adenylate cyclase activating polypeptide(PACAP),follicle-stimulating hormone(FSH),and prolactin(PRL)signaling pathways may modulate the synthesis and secretion of gonadotropin-releasing hormone(GnRH),FSH,and luteinizing hormone(LH)within the hypothalamus and pituitary.In the ovary,interactions between granulosa cells and oocytes involved the KIT,CD99,LIFR,FN1,and ANGPTL signaling pathways,which collectively regulate follicular maturation.The SEMA4 signaling pathway emerged as a critical mediator across all three tissues of the HPO axis.Additionally,gene expression analysis revealed that relaxin 3(RLN3),gastrin-releasing peptide(GRP),and cocaine-and amphetamine regulated transcripts(CART,also known as CARTPT)may function as novel endocrine hormones,influencing the HPO axis through autocrine,paracrine,and endocrine pathways.Comparative analyses between Lohmann layers and Liangshan Yanying chickens demonstrated higher expression levels of GRP,RLN3,CARTPT,LHCGR,FSHR,and GRPR in the ovaries of Lohmann layers,potentially contributing to their superior reproductive performance.In conclusion,this study provides a detailed molecular characterization of the HPO axis,offering novel insights into the regulatory mechanisms underlying reproductive biology.

Single cell sequencing: technique, application,and future development

The progression of next generation sequencing is continuously changing the landscape of genomic, tran- scriptomic, and epigenomic studies. Particularly, advances in single cell manipulation and amplification techniques bring sequencing technology to the single-cell level. Single cell genome sequencing allows us to study tumor evolu- tion, gamete genesis, somatic mosaicism at genome-wide level; single cell transcriptome sequencing unveils the dynamic gene expression during early embryonic devel- opment, differentiation and reprogramming; single cell methylome sequencing is just taking off and shows great potential in cancer and stem cell studies. Lots of attempts are still being made in other dimensions of sequencing. The increasing need for single cell sequencing requires the future techniques with the following features： （1） high accuracy and fidelity; （2） able to perform multiple omics analyses in one cell; （3） high degree of automation and standardized pipeline. These progresses and improvements will lower the barrier for single cell sequencing to enter ordinary laboratories. The wide application of single cell sequencing techniques will substantially change biomedi- cal research in future.

Single-cell transcriptomics reveals gene signatures and alterations associated with aging in distinct neural stem/progenitor cell subpopulations

Aging associated cognitive decline has been linked to dampened neural stem/progenitor cells （NSC/NPCs） activities manifested by decreased proliferation, reduced propensity to produce neurons, and increased differentiation into astrocytes. While gene transcription changes objectively reveal molecular alterations of cells undergoing various biological processes, the search for molecular mechanisms underlying aging of NSC/NPCs has been confronted by the enormous heterogeneity in cellular compositions of the brain and the complex cellular microenvironment where NSC/NPCs reside. Moreover, brain NSClNPCs themselves are not a homogenous population, making it even more difficult to uncover NSC/NPC sub-type specific aging mechanisms. Here, using both population-based and single cell transcriptome analyses of young and aged mouse forebrain ependymal and subependymal regions and comprehensive ＂big-data＂ processing, we report that NSCINPCs reside in a rather inflammatory environment in aged brain, which likely contributes to the differentiation bias towards astrocytes versus neurons. Moreover, single cell transcriptome analyses revealed that different aged NSCINPC subpopulations, while all have reduced cell proliferation, use different gene transcription programs to regulate age-dependent decline in cell cycle. Inter- estingly, changes in cell proliferation capacity are not influenced by inflammatory cytokines, but likely result from cell intrinsic mechanisms. The ErkJMapk pathway appears to be critically involved in regulating age-dependent changes in the capacity for NSCINPCs to undergo clonal expansion. Together this study is the first example of using population and single cell based transcriptome analyses to unveil the molecular interplay between different NSCINPCs and their microenvironment in the context of the aging brain.