Seasonal cycles of phytoplankton blooms are crucial to marine ecosystems and highly sensitive to environmental fluctuations.Rapid climate change has a profound impact on regional environmental conditions,thereby affec...Seasonal cycles of phytoplankton blooms are crucial to marine ecosystems and highly sensitive to environmental fluctuations.Rapid climate change has a profound impact on regional environmental conditions,thereby affecting seasonal blooms at both regional and global scales.The western Antarctic Peninsula(WAP)is one of the most productive regions in the Southern Ocean and has experienced accelerated climate change in recent decades.However,the impact of climate change on bloom dynamics in this region remains uncertain due to regional variability and the complex interplay of environmental factors.Using 26 a(1998−2023)of satellite data,this study examines patterns and trends in bloom seasonal metrics on the southern WAP,and further explores the impact of large-scale climate drivers.A key finding was a clear shift in bloom timing,with earlier and longer blooms observed during 2012−2023.These shifts were associated with reduced spring sea ice extent(SIE),which correlated with warming spring sea surface air temperatures(SAT).Atmospheric teleconnections,particularly the El Niño-Southern Oscillation(ENSO)and Southern Annular Mode(SAM)in spring,were linked to changes in SAT and sea ice dynamics.This study highlights the role of climate drivers in altering bloom dynamics,potentially affecting local marine food webs,and underscores the need for further research to understand Antarctic ecosystem evolution under future climate scenarios.展开更多
Precise mapping of leukemic cells onto the known hematopoietic hierarchy is important for understanding the cell-of-origin and mechanisms underlying disease initiation and development.However,this task remains challen...Precise mapping of leukemic cells onto the known hematopoietic hierarchy is important for understanding the cell-of-origin and mechanisms underlying disease initiation and development.However,this task remains challenging because of the high interpatient and intrapatient heterogeneity of leukemia cell clones as well as the differences that exist between leukemic and normal hematopoietic cells.Using single-cell RNA sequencing(scRNA-seq)data with a curated clustering approach,we constructed a comprehensive reference hierarchy of normal hematopoiesis.This reference hierarchy was accomplished through multistep clustering and annotating over 100,000 bone marrow mononuclear cells derived from 25 healthy donors.We further employed the cosine distance algorithm to develop a likelihood score to determine the similarities of leukemic cells to their putative normal counterparts.Using our scoring strategies,we mapped the cells of acute myeloid leukemia(AML)and B cell precursor acute lymphoblastic leukemia(BCP-ALL)samples to their corresponding counterparts.The reference hierarchy also facilitated bulk RNA sequencing(RNA-seq)analysis,enabling the development of a least absolute shrinkage and selection operator(LASSO)score model to reveal subtle differences in lineage aberrancy within AML or BCP-ALL patients.To facilitate interpretation and application,we established an R-based package(HematoMap)that offers a fast,convenient,and user-friendly tool for identifying and visualizing lineage aberrations in leukemia from scRNA-seq and bulk RNA-seq data.Our tool provides curated resources and data analytics for understanding leukemogenesis,with the potential to enhance leukemia risk stratification and personalized treatments.The HematoMap is available at https://github.com/NRCTM-bioinfo/HematoMap.展开更多
基金The National Natural Science Foundation of China under contract Nos 42325602 and 41976164the National Key Research and Development Program of China under contract No.2022YFC2807601.
文摘Seasonal cycles of phytoplankton blooms are crucial to marine ecosystems and highly sensitive to environmental fluctuations.Rapid climate change has a profound impact on regional environmental conditions,thereby affecting seasonal blooms at both regional and global scales.The western Antarctic Peninsula(WAP)is one of the most productive regions in the Southern Ocean and has experienced accelerated climate change in recent decades.However,the impact of climate change on bloom dynamics in this region remains uncertain due to regional variability and the complex interplay of environmental factors.Using 26 a(1998−2023)of satellite data,this study examines patterns and trends in bloom seasonal metrics on the southern WAP,and further explores the impact of large-scale climate drivers.A key finding was a clear shift in bloom timing,with earlier and longer blooms observed during 2012−2023.These shifts were associated with reduced spring sea ice extent(SIE),which correlated with warming spring sea surface air temperatures(SAT).Atmospheric teleconnections,particularly the El Niño-Southern Oscillation(ENSO)and Southern Annular Mode(SAM)in spring,were linked to changes in SAT and sea ice dynamics.This study highlights the role of climate drivers in altering bloom dynamics,potentially affecting local marine food webs,and underscores the need for further research to understand Antarctic ecosystem evolution under future climate scenarios.
基金supported by the National Natural Science Foundation of China(Grant No.82200153 to Yuting Dai,Grant Nos.82350710226 and 82370178 to Kankan Wang,Grant No.32170663 to Hai Fang,Grant No.82200116 to Fan Zhang)the National Key R&D Program of China(Grant No.2023YFA1800401 to Kankan Wang)+1 种基金the Interdisciplinary Program of Shanghai Jiao Tong University(Grant No.YG2022QN008 to Yuting Dai)the Innovative Research Team of High-Level Local Universities in Shanghai,China.
文摘Precise mapping of leukemic cells onto the known hematopoietic hierarchy is important for understanding the cell-of-origin and mechanisms underlying disease initiation and development.However,this task remains challenging because of the high interpatient and intrapatient heterogeneity of leukemia cell clones as well as the differences that exist between leukemic and normal hematopoietic cells.Using single-cell RNA sequencing(scRNA-seq)data with a curated clustering approach,we constructed a comprehensive reference hierarchy of normal hematopoiesis.This reference hierarchy was accomplished through multistep clustering and annotating over 100,000 bone marrow mononuclear cells derived from 25 healthy donors.We further employed the cosine distance algorithm to develop a likelihood score to determine the similarities of leukemic cells to their putative normal counterparts.Using our scoring strategies,we mapped the cells of acute myeloid leukemia(AML)and B cell precursor acute lymphoblastic leukemia(BCP-ALL)samples to their corresponding counterparts.The reference hierarchy also facilitated bulk RNA sequencing(RNA-seq)analysis,enabling the development of a least absolute shrinkage and selection operator(LASSO)score model to reveal subtle differences in lineage aberrancy within AML or BCP-ALL patients.To facilitate interpretation and application,we established an R-based package(HematoMap)that offers a fast,convenient,and user-friendly tool for identifying and visualizing lineage aberrations in leukemia from scRNA-seq and bulk RNA-seq data.Our tool provides curated resources and data analytics for understanding leukemogenesis,with the potential to enhance leukemia risk stratification and personalized treatments.The HematoMap is available at https://github.com/NRCTM-bioinfo/HematoMap.
