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| 1 | Differential MicroRNA expression tracks neoplastic progression in inflammatory bowel disease‐associated colorectal cancer显示文摘 | ZiadKanaan Shesh N.Rai M. RobertEichenberger ChristopherBarnes Amy M.Dworkin ClaytonWeller EricCohen HenryRoberts BobbyKeskey Robert E.Petras Nigel P.S.Crawford SusanGalandiuk | 2012 | Hum. Mutat2012，，： | 2 |
| 2 | Differential MicroRNA expression tracks neoplastic progression in inflammatory bowel disease‐associated colorectal cancer显示文摘 | ZiadKanaan Shesh N.Rai M. RobertEichenberger ChristopherBarnes Amy M.Dworkin ClaytonWeller EricCohen HenryRoberts BobbyKeskey Robert E.Petras Nigel P.S.Crawford SusanGalandiuk | 2012 | Hum Mutat2012，，3： | 2 |
| 3 | Prospects of breeding biofortified pearl millet with high grain iron and zinc content显示文摘 | G.Velu K. N.Rai V.Muralidharan V. N.Kulkarni T.Longvah T. S.Raveendran | 2007 | Plant Breeding2007，，2： | 1 |
| 4 | Differential MicroRNA expression tracks neoplastic progression in inflammatory bowel disease‐associated colorectal cancer显示文摘 | ZiadKanaan Shesh N.Rai M. RobertEichenberger ChristopherBarnes Amy M.Dworkin ClaytonWeller EricCohen HenryRoberts BobbyKeskey Robert E.Petras Nigel P.S.Crawford SusanGalandiuk | 2012 | Mutat2012，，3： | 1 |
| 5 | Microbiome data analysis with applications to pre-clinical studies using QIIME2: Statistical considerations显示文摘Diversity analysis and taxonomic profiles can be generated from marker-gene sequence data with the help of many available computational tools.The Quantitative Insights into Microbial Ecology Version 2(QIIME2)has been widely used for 16S rRNA data analysis.While many articles have demonstrated the use of QIIME2 with suitable datasets,the application to preclinical data has rarely been talked about.The issues involved in the pre-clinical data include the low-quality score and small sample size that should be addressed properly during analysis.In addition,there are few articles that discuss the detailed statistical methods behind those alpha and beta diversity significance tests that researchers are eager to find.Running the program without knowing the logic behind it is extremely risky.In this article,we first provide a guideline for analyzing 16S rRNA data using QIIME2.Then we will talk about issues in pre-clinical data,and how they could impact the outcome.Finally,we provide brief explanations of statistical methods such as group significance tests and sample size calculation. | Shesh N.Rai Chen Qian Jianmin Pan Jayesh P.Rai Ming Song Juhi Bagaitkar Michael Merchant Matthew Cave Nejat K.Egilmez Craig J.McClain | 2021 | Genes & Diseases2021，8，2： | 1 |
| 6 | Intra-population genetic variance for grain iron and zinc contents and agronomic traits in pearl millet显示文摘Crop biofortification is a sustainable approach for fighting micronutrient malnutrition in the world. The estimation of variance components in genetically broad-based populations provides information about their genetic architecture, allowing the design of an appropriate biofortification breeding method for cross-pollinated crops such as pearl millet. The objective of this study was to estimate intra-population genetic variance using self(S1) and half-sib(HS) progenies in two populations, AIMP92901 and ICMR312. Field trials were evaluated in two contrasting seasons(2009 rainy and 2010 summer; otherwise called environments) in Alfisols at ICRISAT, Patancheru. Analyses of variance showed highly significant variation for S1 s and HS progenies, reflecting high within-population genetic variation for both micronutrients and other key traits. However, the HS showed narrow ranges and lower genetic variances than the S1 for all of the traits. The micronutrients were highly positively correlated in S1(r = 0.77 to 0.86; P < 0.01) and HS(r = 0.74 to 0.77; P < 0.01)progenies of both populations, implying concurrent genetic improvement for both micronutrients. The genetic variance component was different among populations for Fe and Zn contents across environments, with AIMP92901 showing a greater proportion of dominance and ICMR312 greater additive variance for these micronutrients. The estimates of variance(additive and dominance) were specific for each population, given their dependence on the additive and dominance effects of the segregating loci, which also differ among populations. The possible causes for such differences were discussed. The results showed that the expression of these micronutrients in pearl millet shows largely additive variance, so that breeding high-iron hybrids will require incorporation of these micronutrient traits into both parental lines. | Mahalingam Govindaraj Kedar N.Rai Ponnusamy Shanmugasundaram | 2016 | The Crop Journal2016，4，1： | 0 |
| 7 | Proteomics and metabolic phenotyping define principal roles for the aryl hydrocarbon receptor in mouse liver显示文摘Dioxin-like molecules have been associated with endocrine disruption and liver disease.To better understand aryl hydrocarbon receptor(AHR)biology,metabolic phenotyping and liver proteomics were performed in mice following ligand-activation or whole-body genetic ablation of this receptor.Male wild type(WT)and Ahr^(-/-) mice(Taconic)were fed a control diet and exposed to 3,3',4,4',5-pentachlorobiphenyl(PCB126)(61 nmol/kg by gavage)or vehicle for two weeks.PCB126 increased expression of canonical AHR targets(Cyp1 a1 and Cyp1 a2)in WT but not Ahr^(-/-).Knockouts had increased adiposity with decreased glucose tolerance;smaller livers with increased steatosis and perilipin-2;and paradoxically decreased blood lipids.PCB126 was associated with increased hepatic triglycerides in Ahr^(-/-).The liver proteome was impacted more so by Ahr^(-/-) genotype than ligandactivation,but top gene ontology(GO)processes were similar.The PCB126-associated liver proteome was Ahr-dependent.Ahr principally regulated liver metabolism(e.g.,lipids,xenobiotics,organic acids)and bioenergetics,but it also impacted liver endocrine response(e.g.,the insulin receptor)and function,including the production of steroids,hepatokines,and pheromone binding proteins.These effects could have been indirectly mediated by interacting transcription factors or microRNAs.The biologic roles of the AHR and its ligands warrant more research in liver metabolic health and disease. | Jian Jin Banrida Wahlang Monika Thapa Kimberly Z.Head Josiah E.Hardesty Sudhir Srivastava Michael L.Merchant Shesh N.Rai Russell A.Prough Matthew C.Cave | 2021 | Acta Pharmaceutica Sinica B2021，11，12： | 0 |
| 8 | 土壤施用和叶面喷施多效唑对沙梨生长发育和产量的影响显示文摘在印度亚热带地区乌特塔·普拉德什对沙梨系统(pyrus pyrifolia)的戈拉梨(Gola)植株进行试验。在休眠末期将多效唑溶液(125ppm或250ppm)施进树干基部的土壤中,或在生长期间进行三次(落瓣期、落瓣期后三周和六周)叶面喷施,有效地抑制了营养生长,提高了产量。土壤施用的效果优于叶面喷施。土壤施用1升/株250ppm多效唑溶液,能最有效地抑制营养生长,增加短(果)枝数和产量。 | N.Rai L.D.Bist 王希霞 | 1994 | 广西农学报1994，0，3： | 0 |
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