592 Matching Annotations
  1. Aug 2016
    1. potential

      potentially

    2. s G
    3. Odds-Ratio

      the odds ratio

    4. BiQAnalyzer compares the sequences in all aligned Cs and highlightsthe sequence as critical if they are identical in all aligned Cs. All these sequences were excluded in theanalysis.

      This works because of incomplete conversion (<100%), plus actual differences in CpG methylation states.

    5. s
    6. n a
    7. Bonferroni correctionwas conducteddue to multiple comparisonsignificant valuelimitwas set to<0.025.

      Bonferroni multiple testing correction: you divide alpha (the significance threshold), typically (by convention) 0.05, by the number of tests, and that gives you the corrected significance threshold.

    8. alpha
    9. Welch’s

      the Welch

    10. Normalised tissue

      unclear

    11. s 2
    12. different samples

      reactions

    13. For the analysis,the technical replicates were assumed to be biological replicates
    14. ligation

      the ligation

    15. from

      by

    16. Direct

      The direct

    17. in a

      at

    18. thus

      so that

    19. between methylated und unmethylated CpGs
    20. theirdiscrimination

      to discriminate between methylated und unmethylated CpGs

    21. diverse conversion of cytosines
    22. more

      orders of magnitude more

    23. Whereupon
    24. s e
    25. sodium-bisulfite

      sodium metabisulfite

    26. in a

      at

    27. Protocol

      What you did not do due to lack of time: optimisation of the qRT-PCR assays. That would have included a melt curve analysis to detect primer dimers and/or off-target amplicons, and to then run the same reaction again, but with an additional "read" step during each cycle at a higher temperature than the 55C annealing temperature. The "read" temperature is chosen based on the melt curve so that primer dimers and smaller off-target amplicons have melted (become ssDNA) while the target still is dsDNA. This gives you more target-specific fluorescence measurements.

    28. amount

      the amount

    29. Endogenous

      The endogenous

    30. of

      for

    31. defined

      targeted

    32. threshold

      the threshold

    33. There is only fluorescence if the dye bindsto the PCR product.

      Any dsDNA will generate fluorescence, including, for example, primer dimers and off-target amplicons. That is why SYBR is considered relatively non-specific. But its is relatively cheap compared to more specific assays like TaqMan.

    34. The point where the fluorescence becomes measurable is calledthreshold cycleor quantification cycle.

      Fluorescence always is measurable. The threshold cycle is when fluorescence exceeds a given and fixed threshold value, which is chosen to intersect the amplification curves during their exponential phase.

    35. after

      during

    36. Input

      The input

    37. SuperScript

      The SuperScript

    38. e a
    39. appropriate

      an appropriate

    40. e a
    41. d t
    42. The ratio 260nm/280nm was used to assess the purity of the DNA.

      redundant

    43. m g
    44. RNase

      the RNase

    45. RNeasy

      the RNAeasy

    46. in consideration of

      see above

    47. in consideration of

      with consideration to

    48. Wavy bumps indicatethe activity (read depth, the number of reads).
    49. data

      depth-of-sequencing-normalised and log-transformed read coverage data

    50. strand

      strand of

    51. middle top

      centre

    52. mentioned

      shown

    53. statistical

      the statistical

    54. . c

      'e.g.' also is a prepositional phrase, i.e., needs to be followed by a comma

    55. . E
    56. . Z
    57. . C
    58. yt
    59. mentioned

      shown

    60. t t
    61. On

      In

    62. with

      of

    63. RNA-seq data

      scatter

    64. Genome

      The genome

    65. UCSC

      The UCSC

    66. terminate

      extend

    67. across

      extending across

    68. (activity is defined by the expression levels of the transcripts)
    69. activity

      transcriptional activity

    70. Further requirements were

      A further requirement was

    71. e a
    72. which means that onlythe intragenicpromoter influencestissue-specific gene transcription

      reducing the potential of tissue-specific host promoter activity confounding the observations

    73. for

      of

    74. to conduct

      for

    75. RNA-seq data

      scatter

    76. RNA-seq data

      scatter

    77. s
    78. blue square and the red diamond are overlapping

      put in parenthesis

    79. , which means that the
    80. m,

      where the CGI is inactive and

    81. 2c

      where the CGI is highly active

    82. across

      going across

    83. higher CGI promoter activity and
    84. (blue box)

      (low blue data point)

    85. upstream

      terminating upstream

    86. (red diamond)

      (high red data point)

    87. terminating

      going

    88. across

      going across

    89. (lower left cornerof the figure)

      (low x value)

    90. (red diamond in the bottom right cornerindicate transcripts across)

      (large difference in y values: high blue versus low red data point)

    91. (upper right cornerof the figure)

      (large x value)

    92. transcripts

      amount of fragments spanning

    93. transcripts terminating

      (scaled) amount of cDNA fragments mapping

    94. RNA-seq data

      scatter

    95. from a large difference to a non-existing difference in absoluteterms

      no difference between across and upstream

    96. terminating across than upstream

      extending across than terminating upstream

    97. (red line)
    98. a negative correlation with the data

      fewer transcripts extending

    99. pattern

      scatter plot pattern

    100. in theRNA-seq dataplot
    101. out of 632
    102. single
    103. and forall 30 mouse tissues
    104. RNA-seq data plots were

      A scatter plot of intragenic CGI activity versus the upstream and across quantities for all 30 tissues was

    105. provided

      consisted of

    106. scalingfora comparable dataset

      scaling across tissues to make quantities comparable

    107. distinguished

      made non-redundant

    108. of

      to

    109. Pearson correlation coefficient was calculated to compare the expression level of the intragenic promoter (CGI) or transcriptionalactivity initiating at the intragenic CGI and the ratio upstream/across, which means transcription upstream and splicing across the CGI. For the negative control sample dataset Pearson correlation coefficient was calculated as well with simulated intragenic promoters. The cut-off was set close to the maximum correlation of the negative control dataset and defined at 0.5.

      redundant

    110. drift

      bias

    111. and defined
    112. of

      observed for

    113. For the negative control sample dataset,Pearson correlation coefficient was calculated alongside simulated intragenic promoters.
    114. compare

      relate

    115. Pearson

      The Pearson

    116. and splicing

      versus transcription

    117. conducting a permutation test for resampling of the dataset

      randomly permuting the intragenic CGI activities across tissues

    118. ‘Host gene upstream of the intragenic promoter’(Upstream) defined as fragment numbers measured from the TSS until the beginning of the CGI and ‘Gene through the intragenic promoter’(Across), defined as exonic fragmentsoverlapping with the host gene;

      redundant

    119. fragment

      aligned sequenced cDNA fragments

    120. overlapping with the host gene

      spanning across the intragenic CGI

    121. exonic

      host gene exon-anchored

    122. sense and antisense orientation

      separately for the sense and antisense orientations of transcription from the CGI relative to the host gene

    123. mouse

      the mouse

    124. hybrid cross Mus m. musculus(B6) and Mus m. castaneus(Cast) -BxC or hybrid cross Mus m. castaneus(Cast)and Mus m. musculus(B6)–CxB

      you may be asked if some of the inconsistencies between your results and the RNAseq data can be explained by the genetic differences between the hybrids and the B6 mice used by ENCODE. possibly yes, since Cast is quite distant from B6 in evolutionary terms, i.e., there are many genetic differences that definitely have an effect on gene expression. the next question may be: well, why then did you use hybrid tissue? it's the only option available for some tissues, given our tissue stocks, and we don't have a B6 colony any more.

    125. list

      a list

    126. source

      sources

    127. CGIs

      CGI transcriptional states

    128. with those from

      between

    129. maternal and paternal allele

      the maternal and paternal alleles

    130. gene

      locus

    131. lab

      group (lab is slang)

    132. Work form
    133. has recently

      not so recent

    134. mechanisms

      marks

    135. Investigating the utilisation of alternative polyadenylation sites at the H13/Mcts23imprinted locus will shed light on this matter.

      has been done and published by Andrew Wood and Michael Cowley

    136. However, an allele-specific epigenetic control for mechanisms such as polyadenylation has yet to be proven.

      H13 and Herc3 are proof

    137. TSS

      TSSs

    138. DNMTs interact with enzymes that regulategene expression andaretypicallyinvolved ingene repression27.

      out of context

    139. for

      is for

    140. nucleosomes

      nucleosome = octamer of histones

    141. resulting in small fractions called

      forming

    142. Notably, CGIs within gene bodies show the highest variationof DNA methylation between different tissues and somatic cells

      redundant?

    143. of

      with

    144. , notwithstanding of gene expression
    145. X

      the X

    146. s
    147. CG

      GC

    148. a

      the

    149. Dnmt1 copies

      during cell division

    150. paternal

      template

    151. DNA methylation

      in vertebrates (in bacteria, 5mA is common)

    152. RNA-binding sites

      transcription factor binding sites

    153. over

      relative to

    154. there may be different methylation patterns

      too vague

    155. ym
    156. and occurs if an intron is retained,which normally would be removed

      redundant

    157. which

      that instead of which

    158. post

      co- rather than post-

    159. it

      what is 'it'?

    160. ExceptforCGI2,where a simultaneousenrichment of H3K4me2 (chromatin mark associated with active transcription) and H3K27me3(silencing chromatin modification) has beendetectedin all somatic tissues, which resultsin bivalent chromatin. In brain,no enrichment of the chromatin marks wasfound.

      ungrammatical and hence, unclear

    161. (1C, 1B1 and 1B2)

      remove parenthesis

    162. s i
    163. the
    164. e
    165. e
    166. juston few

      for only a few

    167. due

      due to

    168. -most exon

      3'UTR

    169. cause

      can cause

    170. s a
    171. variances

      variants

    172. non-histonic

      indeed, genes encoding histones are treated very differently

    173. constituting

      consisting

    174. cell/tissue-specific combinations

      cell/tissue-type

    175. -specific
    176. Each gene generates

      Most genes generate

    177. hence a specific set

      specific sets

    178. As soon as the stop codon has been transcribed

      stop codon is not responsible for transcription termination and polyadenylation. signals in the sequence of the transcribed RNA and the DNA are responsible, such as the polyadenylation site, which has an RNA consensus sequence of AAUAAA.

    179. gi
    180. do not cause

      are not caused by

    181. heritable

      mitotically or meiotically heritable

    182. accepted

      typically understood

    183. p t
    184. these considerations

      the hypothesis

    185. On the hypothesis

      Hypothesising

    186. murine

      redundant

    187. sa

      missing comma following prepositional phrase

    188. na
    189. am

      auf dem?

    190. e
    191. am

      auf dem?

  2. Dec 2015
    1. web PDF

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