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Wei P, Lamont B, He T, Xue W, Wang PC, Song W, Zhang R, Keyhani AB, Zhao S, Lu W, Dong F, Gao R, Yu J, Huang Y, Tang L, Lu K, Ma J, Xiong Z, Chen L, Wan N, Wang B, He W, Teng M, Dian Y, Wang Y, Zeng L, Lin C, Dai M, Zhou Z, Xiao W, Yan Z. Vegetation-fire feedbacks increase subtropical wildfire risk in scrubland and reduce it in forests. J Environ Manage 2024; 351:119726. [PMID: 38052142 DOI: 10.1016/j.jenvman.2023.119726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 12/07/2023]
Abstract
Climate dictates wildfire activity around the world. But East and Southeast Asia are an apparent exception as fire-activity variation there is unrelated to climatic variables. In subtropical China, fire activity decreased by 80% between 2003 and 2020 amid increased fire risks globally. Here, we assessed the fire regime, vegetation structure, fuel flammability and their interactions across subtropical Hubei, China. We show that tree basal area (TBA) and fuel flammability explained 60% of fire-frequency variance. Fire frequency and fuel flammability, in turn, explained 90% of TBA variance. These results reveal a novel system of scrubland-forest stabilized by vegetation-fire feedbacks. Frequent fires promote the persistence of derelict scrubland through positive vegetation-fire feedbacks; in forest, vegetation-fire feedbacks are negative and suppress fire. Thus, we attribute the decrease in wildfire activity to reforestation programs that concurrently increase forest coverage and foster negative vegetation-fire feedbacks that suppress wildfire.
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Affiliation(s)
- P Wei
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - B Lamont
- Ecology Section, School of Molecular and Life Sciences, Curtin University, Perth, WA 6845, Australia.
| | - T He
- College of Science Engineering & Education, Murdoch University, Murdoch, WA 6150, Australia.
| | - W Xue
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - P C Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Song
- College of Agronomy, Northwest Agriculture & Forestry University, Xianyang, 712100, China.
| | - R Zhang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - A B Keyhani
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - S Zhao
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Lu
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - F Dong
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - R Gao
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - J Yu
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Huang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Tang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - K Lu
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - J Ma
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - Z Xiong
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Chen
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - N Wan
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - B Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W He
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - M Teng
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Dian
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Zeng
- Key Laboratory of Forest Ecology and Environment, Chinese Academy of Forestry, Beijing, 100091, China.
| | - C Lin
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - M Dai
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - Z Zhou
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Xiao
- Key Laboratory of Forest Ecology and Environment, Chinese Academy of Forestry, Beijing, 100091, China.
| | - Z Yan
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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Lloji A, Zepeda I, Lu D, Wan N, Bhatt R, Karas M, Horn E, Naka Y, Sobol I. A Case of Type A Aortic Dissection in a Patient with Heartmate 3. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Wan N, Li Y, Huang X, Li Y, Zheng Q, Wu Z. A comparative evaluation of chemical composition and antimicrobial activities of essential oils extracted from different chemotypes of Cinnamomum camphora (L.) Presl. grasasaceites 2022. [DOI: 10.3989/gya.1014202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The purpose of this study is to determine the chemical composition of the essential oils of Cinnamomum camphora (L.) Presl leaves (CCPL) from 5 different habitats in China by GC-MS, and to evaluate their antimicrobial activities against 3 foodborne pathogens, using a paper disc diffusion method. A total of 30 compounds were identified with a predominance of oxygenated monoterpenes, including linalool (42.65%-96.47%), eucalyptol (39.07%-55.35%) and camphor (26.08%) as well as monoterpene hydrocarbons such as sabinene (6.18%-12.93%) and α-terpineol (8.19%-13.81%). Through cluster analysis, CCPL from 5 different habitats can be well divided into 2 categories. Combining with principal component analysis, the habitats can be better correlated with the chemical constituents of the essential oils. The antimicrobial activities of 5 extracted essential oils against 2 gram-negative bacteria and one gram-positive bacteria were assessed. It showed that the essential oil extracted from the CCPL harvested in Jinxi had the strongest antibacterial property. The results of this study provided basis for resource identification of CCPL and quality difference identification of essential oils. Research on the antibacterial properties of several pathogenic strains has proved its application value as a natural food preservative.
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Rivas-Lasarte M, Wan N, Fauvel D, Taveras M, Vukelic S, Saeed O, Jorde U, Sims D. Lung Ultrasound in Left Ventricular Assist Device Patients: A Feasibility Study. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Wan N, Travin M, Luke A, Gjelaj C, Paschenko A, Saeed O, Sims D, Shin J, Vukelic S, Murthy S, Chavez P, Patel S, Jorde U. Poor Glycemic Control Correlates with Worse Myocardial Flow Measured by Ammonia-13 Positron Emission Tomography in Cardiac Transplant Recipients. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.1257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Putcha G, Liu TY, Ariazi E, Bertin M, Drake A, Dzamba M, Hogan G, Kothen-Hill S, Liao J, Li K, Mahajan S, Palaniappan K, Sansanwal P, St John J, Ulz P, Wan N, Warsinske H, Weinberg D, Yang R, Lin J. Blood-based detection of early-stage colorectal cancer using multiomics and machine learning. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.4_suppl.66] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
66 Background: Despite population screening efforts, screening rates for colorectal cancer (CRC) remain suboptimal. A non-invasive, blood-based screening test with high sensitivity and specificity in early-stage disease should improve adherence and ultimately reduce mortality; however, tests based only on tumor-derived biomarkers have limited sensitivity. Here we used a multiomic, machine learning platform to discover, refine, and combine tumor- and immune-derived signals to develop a blood test for the detection of early-stage CRC. Methods: Samples from 591 participants enrolled in a prospective study including average-risk screening and case-control cohorts (NCT03688906) were included in this analysis (CRC: n = 43; colonoscopy-confirmed CRC-negative controls: n = 548). Participants with CRC were 60% male with a mean age of 63, and controls were 55% male with a mean age of 60. Stage distribution was 54% early (I/II) and 34% late (III/IV) with 11% unknown. Plasma was analyzed by whole-genome sequencing, bisulfite sequencing, and protein quantification methods. Computational methods were used to assess and infer the performance of individual and combined assays. Results: For colorectal adenocarcinoma, which represents ~95% of all CRCs, our multiomic test achieved a mean sensitivity of 92% in early stage (n = 17) and 84% in late stage (n = 11) at a specificity of 90%. Across all CRC pathological subtypes, our test achieved a mean sensitivity of 80% in early stage (n = 19) and 83% in late stage (n = 12) at a specificity of 90%; the test detected the single squamous cell carcinoma but missed both neuroendocrine tumors. Individual assays achieved a mean sensitivity of 50% in early stage and 66% in late stage at a specificity of 90%. Conclusions: In a prospective cohort, we demonstrated high sensitivity and specificity for early-stage adenocarcinoma by combining tumor- and immune-derived signals from cfDNA, epigenetic, and protein biomarkers. While most CRCs are adenocarcinomas, detection of all pathological subtypes is required to maximize sensitivity in a screening population. Further analysis of molecular and pathological subtypes, as well as the entire ~3000 patient cohort, is underway. Clinical trial information: NCT03688906.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Kang Li
- Freenome, South San Francisco, CA
| | | | | | | | | | | | | | | | | | - Rui Yang
- Freenome, South San Francisco, CA
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Wan N, Weinberg D, Liu TY, Niehaus K, Ariazi EA, Delubac D, Kannan A, White B, Bailey M, Bertin M, Boley N, Bowen D, Cregg J, Drake AM, Ennis R, Fransen S, Gafni E, Hansen L, Liu Y, Otte GL, Pecson J, Rice B, Sanderson GE, Sharma A, St John J, Tang C, Tzou A, Young L, Putcha G, Haque IS. Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA. BMC Cancer 2019; 19:832. [PMID: 31443703 PMCID: PMC6708173 DOI: 10.1186/s12885-019-6003-8] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 07/31/2019] [Indexed: 02/06/2023] Open
Abstract
Background Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion of cfDNA derived from tumor tissue in early-stage disease. A machine learning approach to discover signatures in cfDNA, potentially reflective of both tumor and non-tumor contributions, may represent a promising direction for the early detection of cancer. Methods Whole-genome sequencing was performed on cfDNA extracted from plasma samples (N = 546 colorectal cancer and 271 non-cancer controls). Reads aligning to protein-coding gene bodies were extracted, and read counts were normalized. cfDNA tumor fraction was estimated using IchorCNA. Machine learning models were trained using k-fold cross-validation and confounder-based cross-validations to assess generalization performance. Results In a colorectal cancer cohort heavily weighted towards early-stage cancer (80% stage I/II), we achieved a mean AUC of 0.92 (95% CI 0.91–0.93) with a mean sensitivity of 85% (95% CI 83–86%) at 85% specificity. Sensitivity generally increased with tumor stage and increasing tumor fraction. Stratification by age, sequencing batch, and institution demonstrated the impact of these confounders and provided a more accurate assessment of generalization performance. Conclusions A machine learning approach using cfDNA achieved high sensitivity and specificity in a large, predominantly early-stage, colorectal cancer cohort. The possibility of systematic technical and institution-specific biases warrants similar confounder analyses in other studies. Prospective validation of this machine learning method and evaluation of a multi-analyte approach are underway. Electronic supplementary material The online version of this article (10.1186/s12885-019-6003-8) contains supplementary material, which is available to authorized users.
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Abstract
Depressive symptoms and memory impairments are associated with heightened stress hormone levels during aging. A factor that is related to memory deficits during aging is internalized negative aging stereotypes; the idea people have about the process of aging. In this study, we assessed the associations between internalized negative aging stereotypes, depressive symptoms, subjective and objective memory assessments, and cortisol concentration among older adults. Forty older adults aged between 58 and 85 years (18 females and 22 males; mean age ± SD: 71.25 ± 8.80 years) were assessed in this study. Measures of internalized negative aging stereotypes, depressive symptoms, and both subjective and objective memory performance were assessed. Salivary samples were obtained for measurement of cortisol concentration. Stepwise linear regressions were executed in our main analyses. Internalized negative aging stereotypes were associated with increased depressive symptoms and subjective memory complaints. No significant differences were observed for objective memory performance, or cortisol concentration. Internalized negative aging stereotypes are associated with increased depressive symptomatology and subjective complaints of memory; however, they do not predict increased cortisol concentration nor objective memory performance during aging. These results indicate that the mechanism underlying the association between internalized negative aging stereotypes and cognitive impairments may not be related to dysregulations of cortisol secretion among older adults.
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Affiliation(s)
- S Sindi
- Centre for Studies on Human Stress, Mental Health Research Centre Fernand Seguin, Hospital Louis H Lafontaine, Montreal, Quebec, Canada
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Wan F, Dai H, Zhang S, Moore Y, Wan N, Dai Z. Cigarette smoke exposure hinders long-term allograft survival by suppressing indoleamine 2, 3-dioxygenase expression. Am J Transplant 2012; 12:610-9. [PMID: 22050701 DOI: 10.1111/j.1600-6143.2011.03820.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Cigarette smoke causes cancer and increases the vulnerability of smokers to infections. Epidemiologic studies have shown that smoking is one of major risk factors for late allograft rejection. Despite statistical data that associate smoking with allograft rejection, no any study has been conducted to prove that cigarette smoke directly causes allograft rejection in a cause-effect manner. In particular, investigation into immunologic mechanisms underlying smoke-related allograft rejection is lacking. Here we found that second hand smoke (SHS) hindered long-term islet allograft survival induced by CD154 costimulatory blockade plus donor-specific splenocyte transfusion (DST), although it failed to alter acute islet allograft rejection. SHS did not directly interfere with vigorously alloreactive T-cell proliferation in vivo and in vitro. Neither naturally occurring nor induced CD4+CD25+ Treg cell numbers were significantly reduced by SHS. However, SHS suppressed mRNA and protein expression of indoleamine 2, 3-dioxygenase (IDO) and its activity upon transplantation while IDO overexpression in islet allografts restored their long-term survival induced by CD154 blockade. Therefore, SHS prevents long-term allograft survival by inhibiting IDO expression and activity. Thus, our study for the first time demonstrates that SHS shortens allograft survival in a cause-effect manner and unveils a novel immunologic mechanism underlying smoking-related allograft rejection.
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Affiliation(s)
- F Wan
- Department of Immunology and Microbiology, Center for Biomedical Research, University of Texas Health Science Center, Tyler, TX, USA
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Zhou J, Chen GR, Liu Y, Xu J, Wang T, Wan N, Ma ZY, Li W, Song C, Chen KJ. Electroluminescent devices based on amorphous SiN/Si quantum dots/amorphous SiN sandwiched structures. Opt Express 2009; 17:156-162. [PMID: 19129883 DOI: 10.1364/oe.17.000156] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
A single layer of dense Si quantum dots with average size of 4 nm sandwiched in amorphous SiN layers was prepared by laser crystallization of ultrathin amorphous Si film followed by subsequently thermal annealing. The electroluminescent diodes were fabricated by evaporating Al electrodes on back sides of p-Si substrates and the top surface of samples. Room temperature electroluminescence can be detected with applying the negative voltage around 10V on the top gate electrode and the luminescent intensity is increased with increasing the applied voltage. It was found that the integrated luminescent intensity is linearly proportional to the injection current which suggested the intensity depends on the concentrations of injected carriers after Fowler-Nordheim tunneling through amorphous SiN barriers. The influence of the amorphous SiN with different band gap on the device performance was also discussed briefly.
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Affiliation(s)
- J Zhou
- Department of Physics, Nanjing National Laboratory of Microstructures, Nanjing University, Nanjing 210093, China
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Li L, Wan N, Gan NQ, Xia BD, Song LR. Annual dynamics and origins of the odorous compounds in the pilot experimental area of Lake Dianchi, China. Water Sci Technol 2007; 55:43-50. [PMID: 17489392 DOI: 10.2166/wst.2007.160] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Lake Dianchi is the sixth largest freshwater lake in China. The pilot experimental area (6 km2) in Lake Dianchi is one of the most severely polluted areas in the lake with heavy cyanobacteria blooms. During June 2002 to May 2003, the algal composition and number, and odorous compounds were identified monthly and monitored in the area. Meanwhile, physicochemical parameters such as total phosphorus (TP), total nitrogen (TN), 5-day biochemical oxygen demand (BOD5), chemical oxygen demand (COD(Mn)), dissolved oxygen (DO), pH, transparency, temperature and chlorophyll a (chla) were determined. Four odorous compounds: 2-methylisoborneol (MIB), geosmin, beta-cyclocitral and beta-ionone were found in the lake water. Both the concentration of particulate beta-cyclocitral and that of beta-ionone correlated significantly with the annual variation of Chla, biomass of total phytoplankton, cyanobacteria and Microcystis. The concentration of particulate MIB correlated significantly with the biomass of Oscillatoria, while the concentration of particulate geosmin correlated significantly with the biomass of Anabaena. Off-flavour in the pilot area was found to be caused by a combination of beta-cyclocitral- and beta-ionone-producing Microcystis, MIB-producing Oscillatoria and geosmin-producing Anabaena. beta-ionone, MIB and geosmin contributed collectively to the odour intensity in the lake water.
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Affiliation(s)
- L Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, The Chinese Academy of Sciences, Wuhan 430072, China.
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Abstract
Many people see ageing as a time of cognitive and physical decline. For the past three decades, most scientists and the general public have accepted this negative age-stereotype as the norm, but fortunately this view is now challenged. New findings show that well-being and a positive view of ageing are major protective factors against the effects of age on the organism. These results challenge the scientific studies that place emphasis on the negative side of ageing. This ageism view has been observed in each sphere of science, from genetics to social sciences. Perspectives from each domain are described, and new integrative views of successful ageing are summarized.
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Affiliation(s)
- S J Lupien
- Laboratory of Human Stress Research, Douglas Hospital Research Center, Department of Psychiatry, McGill University, 6875 Boulevard Lasalle, Montreal, Quebec H4H 1R3, Canada.
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Ahmadi K, Alderton W, Chuckowree I, Depledge P, Folkes A, Pergl-Wilson G, Saghir N, Shuttleworth S, Wan N, Raynaud F, Saghir N, Wan N, Zhyvoloup A. 320 Identification of potent, selective, soluble and permeable small molecule PI3 kinase inhibitors for the treatment of cancer. EJC Suppl 2004. [DOI: 10.1016/s1359-6349(04)80328-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Fang BS, Chen HW, Xie XL, Wan N, Mei YX, Hu ZD. [The medium optimization of xylitol fermentation based on neural networks and genetic algorithms]. Sheng Wu Gong Cheng Xue Bao 2000; 16:648-50. [PMID: 11191777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
Using genetic algorithms(GA) for medium optimization of xylitol fermentation, and coupling neural networks model for predicting xylitol concentration is introduced. The medium compose determined by GA is as input data of the neural networks, while the output data predicted by neural networks is as suitable value of GA for predicting. The optimum medium is further validated by experimentation. The good result, which save the experimental workload and charge, enhance the level of xylitol fermentation as well as reduced the medium consume is obtained.
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Affiliation(s)
- B S Fang
- College of Chemical Engineering, Tianjin University, Tianjin 300027
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Harris DJ, Marshall J, Lee ER, Siegel CS, Mcneilly D, Yew NS, Nietupski J, Nichols M, Cherry M, Wan N, Jiang C, Lane M, Rowe E, Scheule RK, Smith AE, Cheng SH. The Development of Improved Cationic Lipids for Gene Transfer into Cystic Fibrosis Airway Epithelial Cells. PHOSPHORUS SULFUR 1996. [DOI: 10.1080/10426509608545147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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