000 03020ntm a2200349 i 4500
001 vtls000103695
003 KUKTEM
005 20251117113403.0
008 180531s2018 my a f am 000 0 eng d
020 _aTHE0001349(Local)
039 9 _a201905141228
_basmadi
_y201805311452
_zsaini
040 _aUMP
_beng
_cUMP
_erda
090 _aFTeK .G36 2018 r Bc.
100 1 _aGan, Zun Jia,
_eauthor.
245 1 0 _aStatistical analysis of factors affecting monoclonal antibody production by using principal component analysis :
_bmolecular markers /
_cGan Zun Jia
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
300 _axi, 65 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Engineering Technology
502 _aProject Paper (Bachelor Of Manufacturing Engineering Technology (Pharmaceutical) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aThe increasing demand for the monoclonal antibodies creates an urge for the biopharmaceutical industry to select high producing cell lines for maximum product concentration in order to cope with the market demand. The development of such cell line is a lengthy and challenging process. However, cell line with high productivity can be predicted by determining the early markers which will significantly minimize the time required to develop new cell line. This study focuses on the molecular markers in the antibody secretion pathway of a panel of six Chinese Hamster Ovary (CHO) stable cell lines which producing recombinant monoclonal antibodies at different rates, ranging between 2 and 50 pg/cell/day. The correlation between the selected molecular parameters and specific productivity (qp) of the cell lines throughout the exponential phase of batch cultures was studied by analyzing the results statistically using Principal Component Analysis (PCA) in STATISTICA 10. The data was arranged and analyzed according to the cell lines and the days in growth phase of the batch cultures. This study revealed that cell line 47 and cell line 76 had greater influences on the specific productivity than the other cell lines and intracellular heavy chain (HC) showed the strongest positive correlation with the specific productivity of the cell line. Higher intracellular HC is associated with higher specific productivity. More researches on the optimization of the molecular markers especially intracellular HC shall be done to further reveal its correlation with specific productivity.
610 2 0 _aFaculty of Engineering Technology
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7787
_d7793
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992