Herman Chernoff

Harvard University, Cambridge, MA, United States

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Publications (3)5.38 Total impact

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    ABSTRACT: Utilizing a two-dimensional tissue culture plastic screening system and a fractional factorial design, specific media formulations and growth factor combinations were determined that support human bone marrow stromal cell (BMSC) differentiation toward fibroblast characteristics for utilization in tissue engineering, specifically cell morphology and alignment, metabolic activity, abundant expression of collagen types I and III, and negligible expression of other tissue-specific markers. BMSCs were cultured for up to 14 days on tissue culture plastic, supplemented with Dulbecco's Minimal Essential Medium (DMEM)/10% FBS or Advanced DMEM(ADMEM)/5% FBS. Each medium base was supplemented with one of nine possible growth factor combinations and ascorbate-2-phosphate (Asc-2-P) for the duration of culture. ADMEM supported comparable cell viability with half the serum content of the DMEM formulation. Asc-2-P was potent in promoting BMSC proliferation, in the absence of a mitogen, supporting significant increases in cell activity over 14 days of culture. DMEM promoted significant increases in cell viability for 7 of 9 growth factor groups when compared to their ADMEM counterparts. ADMEM, however, promoted increased cell transcript and protein expression, as 5 of 9 growth factor combinations induced a 200% increase in collagen type I versus equivalent DMEM cultures. Cell morphology and collagen type I immunostaining, when assessed in context of MTT and RNA results, identified 3 growth factor and medium combinations that supported fibroblast differentiation for future development of ligament tissue in vitro.
    Journal of Orthopaedic Research 02/2005; 23(1):164-74. · 2.88 Impact Factor
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    ABSTRACT: An improved understanding of cellular responses during normal anterior cruciate ligament (ACL) function or repair is essential for clinical assessments, understanding ligament biology, and the implementation of tissue engineering strategies. The present study utilized quantitative real-time RT-PCR combined with univariate and multivariate statistical analyses to establish a quantitative database of marker transcript expression that can provide a "blueprint" of ACL wound healing. Selected markers (collagen types I and III, biglycan, decorin, MMP-1, MMP-2, MMP-9, and TIMP-1) were assessed from 33 torn ACLs harvested during reconstructive surgery. Trends were observed between postinjury period and marker expressions. Significant correlations between marker expression existed and were most prominent between collagen types I and III. Canonical correlation analysis established a relationship between patient demographics and a combination of all marker expressions. The currently observed trends and correlations may assist in identifying appropriate tissue samples and provide a baseline information of marker expression level that can support in vitro optimization of environmental cues for ligament tissue engineering application.
    Connective Tissue Research 02/2005; 46(1):53-65. · 1.79 Impact Factor
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    Herman Chernoff
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    ABSTRACT: One justification offered for the use of the P-value of the Fisher Exact Test for comparing two probabilities, which involves conditioning on the margins, is that the margins carry very little if any relevant information. While the margins are conceded to be “almost” ancillary, no one has measured how much information is in the margins. We compare the total information available with the information in the margins. While the total is proportional to the sample size, the information in the margins is almost independent of the sample size, and if anything, tends to decrease as the sample size increases.
    Journal of Statistical Planning and Inference 01/2004; 121(2):209-214. · 0.71 Impact Factor