RESUMEN
This study sought to evaluate the awareness of bioethics among faculty at Shifa College of Medicine, Islamabad, Pakistan, and to assess their interest in becoming part of a bioethics discussion group and enhancing their knowledge of this subject. 122 faculty members from the medical college, hospital and school of nursing filled out a questionnaire on ethics. 53% were aware of bioethics as a specialty. 85% showed an interest in educating themselves further in the subject and 61 % were interested in becoming part of a bioethics discussion group Only 50 out of 122 faculty members knew what an ethical dilemma was and only 38 were able to describe one in detail. The awareness level of bioethics as a specialty increased with seniority. However the enthusiasm to join a bioethics discussion group was greater among those at a junior level.
RESUMEN
Cotton fibers are differentiated, non-dividing cells that originate from the epidermal layer of developing ovules. To identify genes involved in cotton fiber development, we performed non-radioactive differential display reverse transcriptase PCR (DDRT-PCR) on the purified mRNA. This technique was tested on mRNA isolated from five different developmental stages of cotton fiber including 0, 5, 10, 15 and 20 DPA (days after pollination). The mRNA purified from total RNA was reversibly transcribed using three anchored oligo-dT primers. Polymerase chain reaction (PCR) amplification of each cDNA preparation was carried out in combination with seven arbitrary primers. The amplified products were resolved on 1 percent agarose gel containing ethidium bromide. DNA was extracted from seventeen differentially expressed bands and cloned in pTZ57R/T vector. The sequencing and BLAST search analysis indicated that 12 of the differentially expressed genes matched the previously characterized genes, while 3 of them matched the uncharacterized sequences of cotton fiber expressed sequence tags (ESTs) reported previously to be associated with cotton fiber and 2 of the clones had homology with putative proteins. The technique can be used to efficiently identify differentially expressed genes and can be expanded to large scale studies by increasing the number of random decamers.