The Sanjiang Plain, where nearly 20 kinds of wetlands exist now, is one of the largest wetlands distributed area of wetlands in China. To identify each of them and pick up them separately by means of automatic interpr...The Sanjiang Plain, where nearly 20 kinds of wetlands exist now, is one of the largest wetlands distributed area of wetlands in China. To identify each of them and pick up them separately by means of automatic interpretation of remote sensing from TM Landsat images is extremely important. However, most of the types of wetlands can not be divided each other due to the similarity and the illegibility of the wetland spectrum shown in TM images. Special disposals to remote sensing images include the spectrum enhancement of wetland information, the pseudo color composite of TM images of different bands and the algebra enhancement of TM images. By this way some kinds of wetlands such as Sparganium stoloniferum and Bolboschoenus maritimus can be identified. But in many cases, these methods are still insufficient because of the noise brought from the atmosphere transportation and so on. The physical features of wetlands reflecting the diversification of spectrum information of wetlands, which include the spatial temporal characteristics of the wetlands distribution, the landscape differences of wetlands from season to season, the growing environment and the vertical structure of wetlands vegetation and so on, must be taken into consideration. Besides these, the artificial alteration to spatial structure of wetlands such as the exploitation of some types of them can be also used as important symbols of wetlands identification from remote sensing images. On the basis of the above geographics analysis, a set of wetlands classification models of remote sensing could be established, and many types of wetlands such as paddy field, reed swamp, peat mire, meadow, CAREX marsh and paludification meadow and so on, will be distinguished consequently. All the ways of geographical analysis and model establishment will be given in detail in this article.展开更多
BACKGROUND Chimeric antigen receptor T-Cell(CAR-T)therapy is an effective new treatment for hematologic malignancies.Cytokine release syndrome(CRS)and neurologic toxicity are main toxicities.CRS-induced rhabdomyolysis...BACKGROUND Chimeric antigen receptor T-Cell(CAR-T)therapy is an effective new treatment for hematologic malignancies.Cytokine release syndrome(CRS)and neurologic toxicity are main toxicities.CRS-induced rhabdomyolysis(RM)followed by CART therapy treatment has not been previously reported.CASE SUMMARY We report a case of a 22-year-old woman with relapsed acute lymphoblastic leukemia obtained sequential cluster of differentiation(CD)19 and CD22 CAR-T infusion.This patient experienced grade 3 CRS with RM,mild hypotension requiring intravenous fluids,and mild hypoxia and was managed effectively with the IL-6 receptor antagonist tocilizumab.This patient had no signs of immune effector cell-associated neurologic syndrome.Restaging scans 30 d postCAR-T therapy demonstrated a complete remission,and the symptoms of muscle weakness improved through rehabilitation.CONCLUSION Myalgia is an easily overlooked symptom of severe CRS after CAR-T therapy.It is necessary to monitor myoglobin levels when a patient presents with symptoms of myalgia or acute renal insufficiency.展开更多
Cortical interneurons can be categorized into distinct populations based on multiple modalities,including molecular signatures and morpho-electrical(M/E)properties.Recently,many transcriptomic signatures based on sing...Cortical interneurons can be categorized into distinct populations based on multiple modalities,including molecular signatures and morpho-electrical(M/E)properties.Recently,many transcriptomic signatures based on single-cell RNA-seq have been identified in cortical interneurons.However,whether different interneuron populations defined by transcriptomic signature expressions correspond to distinct M/E subtypes is still unknown.Here,we applied the Patch-PCR approach to simultaneously obtain the M/E properties and messenger RNA(mRNA)expression of>600 interneurons in layer V of the mouse somatosensory cortex(S1).Subsequently,we identified 11 M/E subtypes,9 neurochemical cell populations(NCs),and 20 transcriptomic cell populations(TCs)in this cortical lamina.Further analysis revealed that cells in many NCs and TCs comprised several M/E types and were difficult to clearly distinguish morpho-electrically.A similar analysis of layer V interneurons of mouse primary visual cortex(V1)and motor cortex(M1)gave results largely comparable to S1.Comparison between S1,V1,and M1 suggested that,compared to V1,S1 interneurons were morpho-electrically more similar to M1.Our study reveals the presence of substantial M/E variations in cortical interneuron populations defined by molecular expression.展开更多
Next-generation sequencing technologies both boost the discovery of variants in the human genome and exacerbate the challenges of pathogenic variant identification.In this study,we developed Pathogenicity Prediction T...Next-generation sequencing technologies both boost the discovery of variants in the human genome and exacerbate the challenges of pathogenic variant identification.In this study,we developed Pathogenicity Prediction Tool for missense variants(mvPPT),a highly sensitive and accurate missense variant classifier based on gradient boosting.mvPPT adopts high-confidence training sets with a wide spectrum of variant profiles,and extracts three categories of features,including scores from existing prediction tools,frequencies(allele frequencies,amino acid frequencies,and genotype frequencies),and genomic context.Compared with established predictors,mvPPT achieves superior performance in all test sets,regardless of data source.In addition,our study also provides guidance for training set and feature selection strategies,as well as reveals highly relevant features,which may further provide biological insights into variant pathogenicity.展开更多
文摘The Sanjiang Plain, where nearly 20 kinds of wetlands exist now, is one of the largest wetlands distributed area of wetlands in China. To identify each of them and pick up them separately by means of automatic interpretation of remote sensing from TM Landsat images is extremely important. However, most of the types of wetlands can not be divided each other due to the similarity and the illegibility of the wetland spectrum shown in TM images. Special disposals to remote sensing images include the spectrum enhancement of wetland information, the pseudo color composite of TM images of different bands and the algebra enhancement of TM images. By this way some kinds of wetlands such as Sparganium stoloniferum and Bolboschoenus maritimus can be identified. But in many cases, these methods are still insufficient because of the noise brought from the atmosphere transportation and so on. The physical features of wetlands reflecting the diversification of spectrum information of wetlands, which include the spatial temporal characteristics of the wetlands distribution, the landscape differences of wetlands from season to season, the growing environment and the vertical structure of wetlands vegetation and so on, must be taken into consideration. Besides these, the artificial alteration to spatial structure of wetlands such as the exploitation of some types of them can be also used as important symbols of wetlands identification from remote sensing images. On the basis of the above geographics analysis, a set of wetlands classification models of remote sensing could be established, and many types of wetlands such as paddy field, reed swamp, peat mire, meadow, CAREX marsh and paludification meadow and so on, will be distinguished consequently. All the ways of geographical analysis and model establishment will be given in detail in this article.
文摘BACKGROUND Chimeric antigen receptor T-Cell(CAR-T)therapy is an effective new treatment for hematologic malignancies.Cytokine release syndrome(CRS)and neurologic toxicity are main toxicities.CRS-induced rhabdomyolysis(RM)followed by CART therapy treatment has not been previously reported.CASE SUMMARY We report a case of a 22-year-old woman with relapsed acute lymphoblastic leukemia obtained sequential cluster of differentiation(CD)19 and CD22 CAR-T infusion.This patient experienced grade 3 CRS with RM,mild hypotension requiring intravenous fluids,and mild hypoxia and was managed effectively with the IL-6 receptor antagonist tocilizumab.This patient had no signs of immune effector cell-associated neurologic syndrome.Restaging scans 30 d postCAR-T therapy demonstrated a complete remission,and the symptoms of muscle weakness improved through rehabilitation.CONCLUSION Myalgia is an easily overlooked symptom of severe CRS after CAR-T therapy.It is necessary to monitor myoglobin levels when a patient presents with symptoms of myalgia or acute renal insufficiency.
基金supported by the National Key Research and Development Program of China(2021ZD0202500)supported by the National Natural Science Foundation of China(31930044 and 31725012)+3 种基金the Foundation of Shanghai Municipal Education Commission(2019-01-07-00-07-E00062)the Collaborative Innovation Program of Shanghai Municipal Health Commission(2020CXJQ01)the Shanghai Municipal Science and Technology Major Project(No.2018SHZDZX01)ZJLab.
文摘Cortical interneurons can be categorized into distinct populations based on multiple modalities,including molecular signatures and morpho-electrical(M/E)properties.Recently,many transcriptomic signatures based on single-cell RNA-seq have been identified in cortical interneurons.However,whether different interneuron populations defined by transcriptomic signature expressions correspond to distinct M/E subtypes is still unknown.Here,we applied the Patch-PCR approach to simultaneously obtain the M/E properties and messenger RNA(mRNA)expression of>600 interneurons in layer V of the mouse somatosensory cortex(S1).Subsequently,we identified 11 M/E subtypes,9 neurochemical cell populations(NCs),and 20 transcriptomic cell populations(TCs)in this cortical lamina.Further analysis revealed that cells in many NCs and TCs comprised several M/E types and were difficult to clearly distinguish morpho-electrically.A similar analysis of layer V interneurons of mouse primary visual cortex(V1)and motor cortex(M1)gave results largely comparable to S1.Comparison between S1,V1,and M1 suggested that,compared to V1,S1 interneurons were morpho-electrically more similar to M1.Our study reveals the presence of substantial M/E variations in cortical interneuron populations defined by molecular expression.
基金supported by the National Key R&D Program of China(Grant No.2021ZD0202500)the Shanghai Natural Science Foundation,China(Grant No.20ZR1403800)+3 种基金the National Natural Science Foundation of China(Grant Nos.31900476,82071259,31930044,and 31725012)the Shanghai Municipal Science and Technology Major Project(Grant No.2018SHZDZX01)ZJ Lab,the Shanghai Center for Brain Science and Brain-Inspired Technology,China,the Foundation of Shanghai Municipal Education Commission,China(Grant No.2019-01-07-00-07-E00062)the Collaborative Innovation Program of Shanghai Municipal Health Commission,China(Grant No.2020CXJQ01).
文摘Next-generation sequencing technologies both boost the discovery of variants in the human genome and exacerbate the challenges of pathogenic variant identification.In this study,we developed Pathogenicity Prediction Tool for missense variants(mvPPT),a highly sensitive and accurate missense variant classifier based on gradient boosting.mvPPT adopts high-confidence training sets with a wide spectrum of variant profiles,and extracts three categories of features,including scores from existing prediction tools,frequencies(allele frequencies,amino acid frequencies,and genotype frequencies),and genomic context.Compared with established predictors,mvPPT achieves superior performance in all test sets,regardless of data source.In addition,our study also provides guidance for training set and feature selection strategies,as well as reveals highly relevant features,which may further provide biological insights into variant pathogenicity.
