Shamim A. Mollah
Rockefeller University
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Publication
Featured researches published by Shamim A. Mollah.
Haemophilia | 2014
M. Elbatarny; Shamim A. Mollah; Julie Grabell; S. Bae; M. Deforest; Angie Tuttle; Wilma M. Hopman; Dewi Clark; A. C. Mauer; M. Bowman; J. Riddel; Pamela A. Christopherson; Robert R. Montgomery; Margaret L. Rand; Barry S. Coller; Paula D. James
Bleeding Assessment Tools (BATs) have been developed to aid in the standardized evaluation of bleeding symptoms. The Vicenza Bleeding Questionnaire (BQ), published in 2005, established a common framework and scoring key that has undergone subsequent modification over the years, culminating in the publication of the ISTH‐BAT in 2010. Understanding the normal range of bleeding scores is critical when assessing the utility of a BAT. Within the context of The Merging Project, a bioinformatics system was created to facilitate the merging of legacy data derived from four different (but all Vicenza‐based) BATs; the MCMDM1‐VWD BQ, the Condensed MCMDM‐1VWD BQ, the Pediatric Bleeding Questionnaire and the ISTH‐BAT. Data from 1040 normal adults and 328 children were included in the final analysis, which showed that the normal range is 0–3 for adult males, 0–5 for adult females and 0–2 in children for both males and females. Therefore, the cut‐off for a positive or abnormal BS is ≥4 in adult males, ≥6 in adult females and ≥3 in children. This information can now be used to objectively assess bleeding symptoms as normal or abnormal in future studies.
Journal of Experimental Medicine | 2014
Niroshana Anandasabapathy; Rachel Feder; Shamim A. Mollah; Sze Wah Tse; Maria Paula Longhi; Saurabh Mehandru; Ines Matos; Cheolho Cheong; Darren Ruane; Lucas Brane; Angela Teixeira; Joseph S. Dobrin; Olga Mizenina; Chae Gyu Park; Matthew M. Meredith; Björn E. Clausen; Michel C. Nussenzweig; Ralph M. Steinman
Protective immunity to protein vaccines is controlled by Flt3L-dependent classical LN-resident dendritic cells, and dampened by migratory dendritic cells.
Journal of Investigative Dermatology | 2014
Shamim A. Mollah; Joseph S. Dobrin; Rachel Feder; Sze-Wah Tse; Ines Matos; Cheolho Cheong; Ralph M. Steinman; Niroshana Anandasabapathy
Skin-derived dendritic cells (DC) are potent antigen presenting cells with critical roles in both adaptive immunity and tolerance to self. Skin DC carry antigens and constitutively migrate to the skin draining lymph nodes (LN). In mice, Langerin-CD11b− dermal DC are a low-frequency, heterogeneous, migratory DC subset that traffic to LN (Langerin-CD11b-migDC). Here, we build on the observation that Langerin-CD11b− migDC are Fms-like tyrosine kinase 3 ligand (Flt3L) dependent and strongly Flt3L responsive, which may relate them to classical DCs. Examination of DC capture of FITC from painted skin, DC isolation from skin explant culture, and from the skin of CCR7 knockout mice which accumulate migDC, demonstrate these cells are cutaneous residents. Langerin-CD11b-Flt3L responsive DC are largely CD24(+) and CX3CR1low and can be depleted from Zbtb46-DTR mice, suggesting classical DC lineage. Langerin-CD11bmigDC present antigen with equal efficiency to other DC subsets ex vivo including classical CD8α cDC and Langerin+CD103+ dermal DC. Finally, transcriptome analysis suggests a close relationship to other skin DC, and a lineage relationship to other classical DC. This work demonstrates that Langerin- CD11b− dermal DC, a previously overlooked cell subset, may be an important player in the cutaneous immune environment.
Clinical and Translational Science | 2009
Andreas Mauer; Edward M. Barbour; Nickolay A. Khazanov; Natasha Levenkova; Shamim A. Mollah; Barry S. Coller
The lack of standardized methods for human phenotyping is a major obstacle in translational science. We have developed a bleeding history phenotyping system comprising an ontology, a questionnaire, a Web‐based phenotype recording instrument (PRI), and a database. The ontology facilitates transparency, collaboration, aggregation of data, and data analysis. The integrated system allows investigators worldwide to use the PRI, add their de‐identified data to the database, and query the aggregated data. Thus, this system can increase the power to detect genotype–phenotype–environment relationships and help new investigators begin their studies. We anticipate that this approach may be applicable to other disorders.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science | 2010
Ida Sim; Simona Carini; Samson W. Tu; Rob Wynden; Brad H. Pollock; Shamim A. Mollah; Davera Gabriel; Herbert K. Hagler; Richard H. Scheuermann; Harold P. Lehmann; Knut M. Wittkowski; Meredith Nahm; Suzanne Bakken
american medical informatics association annual symposium | 2009
Simona Carini; Brad H. Pollock; Harold P. Lehmann; Suzanne Bakken; Edward M. Barbour; Davera Gabriel; Herbert K. Hagler; Caryn R. Harper; Shamim A. Mollah; Meredith Nahm; Hien H. Nguyen; Richard H. Scheuermann; Ida Sim
american medical informatics association annual symposium | 2012
Ida Sim; Simona Carini; Samson W. Tu; Landon T. Detwiler; James F. Brinkley; Shamim A. Mollah; Karl Burke; Harold P. Lehmann; Swati Chakraborty; Knut M. Wittkowski; Brad H. Pollock; Thomas M. Johnson; Vojtech Huser
Journal of Investigative Dermatology | 2014
Shamim A. Mollah; Joseph S. Dobrin; Rachel Feder; Sze-Wah Tse; Ines Matos; Cheolho Cheong; Ralph M. Steinman; Niroshana Anandasabapathy
american medical informatics association annual symposium | 2003
Shamim A. Mollah; Stephen B. Johnson
Journal of Investigative Dermatology | 2013
Niroshana Anandasabapathy; Rachel Feder; M. P. Longhi; S. Mehandru; Shamim A. Mollah; Cheolho Cheong; D. Ruane; L. Brane; A. Teixiera; Joseph S. Dobrin; O. Mizenina; Björn E. Clausen; Ralph M. Steinman