Blue Line, data from 50 samples completed by Gorovsky and Miao labs; Growth (three time points), triplicates; Starvation (seven time points), triplicates; Conjugation (ten time points), duplicates.
Red Line, data from 50 samples completed by Gorovsky and Miao lab, and 10 conjugation samples completed by Pearlman lab; all time points (three GROWTH time points, seven STARVATION time points and ten CONJUGATION time points), triplicates.
NOTE: For growing cells,
L-l, L-m and L-h correspond respectively to ~1X105 cells/ml,
~3.5X105cells/ml and ~1*106 cells/ml. For starvation,
~2X105 cells/ml were collected at 0, 3, 6, 9, 12, 15 and 24
hours) referred to as S-0, S-3, S-6, S-9, S-12, S-15 and S-24). For conjugation, equal volumes of B2086 and
CU428 cells were mixed, and samples were collected at 0, 2, 4, 6, 8, 10, 12, 14, 16 and 18 hours after mixing
(referred to as C-0, C-2, C-4, C-6, C-8, C-10, C-12, C-14, C-16 and C-18).
Blue and red lines represent the expression values normalized by two differenet methods.
Blue Line Value Table
Red Line Value Table
Connected genes in Tetrahymena Gene Network
Gene networks characterize the interactions of bio-molecules such as the physical interactions, metabolite
flow, regulatory relationships, co-expression relationships, and more. Network analysis can be used to
identify related genes in the same biological processes or pathways etc. The Tetrahymena gene network (TGN)
was constructed using the context likelihood of relatedness (CLR) algorithm (mutual information method, an extension of the relevance networks)
based on microarray expression data, which means that the connected genes in the TGN have similar expression profile. The CLR network with a Z-score
threshold 3.49 was determined as the current TGN
The larger of a Z-score between two genes indicated the more reliable interaction (more similar expression profile).
TGN presents an important resource to study Tetrahymena genes at the pathway level.
Bellow is the list of genes which have similar expression profiles to your query gene in TGN: