June 10, 2014

Filtering EST and mRNA BLAST results to get final figures-- breaking up each table into 3 aspects (cellular components, biological processes, and molecular function)
EST taxID6580 all results

link to BLAST RESULTS

mRNA-- http://goo.gl/JrJDzl
ESTs-- http://goo.gl/WWQXmA

pie GoSlim terms-- biological process
should be about 13

May 30, 2014

qPCR of geoduck larvae
Well/rep
Sample
Stage
Primer Set
Developmental Process
A1/B1
T1
Trocophore
Rp_RNF66_F
Rp_RNF67_R
multicellular organismal development
A2/B2
T2
Trocophore
A3/B3
V1
Veliger
A4/B4
V2
Veliger
A5/B5
S1
Settler
A6/B6
S2
Settler
A7/B7
NTC
--
C1/D1
T1
Trocophore
Mm_flilCG1484_F
Mm_flilCG1485_R
nematode larval development
C2/D2
T2
Trocophore
C3/D3
V1
Veliger
C4/D4
V2
Veliger
C5/D5
S1
Settler
C6/D6
S2
Settler
C7/D7
NTC
--
qPCR mix used: two master mix/cocktails-- one for each primer set. Each larval sample ran in duplicate

Rp_RNF66/67
Mm_flilCG1484/5

[Stock]
ul/rxn
Cocktail
'# of NTC
ul/rxn
Cocktail
'# of NTC
Water

7
98
2
7
98
2
Primer - F (uM)
10
0.5
7
'# of Unknowns
0.5
7
'#of Unknowns
Primer - R (uM)
10
0.5
7
6
0.5
7
6
Sso Fast EvaGreen Supermix (2X)
1X
10
140
Replicate
10
140
Replicate




2


2
cDNA

2

Total # Samples
2

Total # Samples
Total volume (ul)
20
20
280
14
20
280
14

Results:


Larvae qPCR output

PLATE SET UP


1
2
3
4
5
6
7
A
T1 Rp
T2 Rp
V1 Rp
V2 Rp
S1 Rp
S2 Rp
NTC
B
T1 Rp
T2 Rp
V1 Rp
V2 Rp
S1 Rp
S2 Rp
NTC
C
T1 Mm
T2 Mm
V1 Mm
V2 Mm
S1 Mm
S2 Mm
NTC
D
T1 Mm
T2 Mm
V1 Mm
V2 Mm
S1 Mm
S2 Mm
NTC
JBqpcr_all.jpg
Quant. plot for all samples. Peak for V2 (column 4) may have something to do with amount of RNA-- notes in Sam's notebook that during RNA extraction there was a "goo" and the yield was very high.
JB_qpcr_neg.jpg
Quant plot for Negative controls only. May be contamination.. which means that maybe false positives for larvae.



JB_qpcr_mc.jpg
Melt curve for all samples-- plate colors need to be re-uploaded from original file-- I think I copied over the wrong plate layout-- colors don't match above.
JB_meltcurve_pos.jpg
Melt curve for positive signals with one solid peak-- corresponding wells are depicted in plate picture below
JB_mc_pos_plate.jpg
jb-mc-ntc.jpg
Melt curve for negative controls--- need to ask Steven how to interpret this.. looks like not one product so maybe not contamination that would make a false positive?







May 29, 2014

qPCR Results:
jessica_qpcr_primerwells.jpg
Well
Working label
Primer Set
Developmental Process
D4/E4
NTC
N/A
N/A
N/A
D5/E5
3
Rp_RNF66_F
Rp_RNF67_R
multicellular organismal development
D6/E6
4
Rp_flilCG1484_F
Rp_flilCG1485_R
muscle fiber development
D7/E7
5
Mm_flilCG1484_F
Mm_flilCG1485_R
nematode larval development
D8/E8
9
Mm_HCA57_F
Mm_HCA57_R
embryonic development ending in birth or egg hatching

Jessica_qPCR_primer_quant.jpg
jessica_qpcr_primer_melt.jpg


Quantification Output

Well / Set
Dye
Content
Description
Efficiency
C(t)
Quantity
Avg C(t)
















D4
SBGnew
Sample
NTC
N/A
N/A


D5
SBGnew
Sample
Rp_RNF66/7
1.48
38.13


D6
SBGnew
Sample
Rp_flilCG1484/5
N/A
N/A


D7
SBGnew
Sample
Mm_flilCG1484/5
1.77
31.44


D8
SBGnew
Sample
Mm_HCA57
N/A
N/A


E4
SBGnew
Sample
NTC
N/A
N/A


E5
SBGnew
Sample
Rp_RNF66/7
N/A
N/A


E6
SBGnew
Sample
Rp_flilCG1484/5
N/A
N/A


E7
SBGnew
Sample
Mm_flilCG1484/5
1.97
30.68


E8
SBGnew
Sample
Mm_HCA57
N/A
N/A










Results:
selecting primers 3 and 5 to apply to larval stages. Mm_flilCG1484/5 appears to give a strong signal with one solid product. Primer 3 only had one replicate amplify-- will apply to larvae anyway.

Made cDNA out of RNA extracts Sam White isolated 5/27-5/28
6 samples total:
T1, T2 (trocophores)
V1, V2 (veligers)
S1, S2 (setters interphase)

Min. Per Rxn (ul)
Total / Sample (ul)
RNA
17.75
35.5
oligo dT
0.5
1


70C for 5 min


Ice
Master Mix

Per Rxn (ul)
Total (ul)
M-MLV RT buffer (5X)
5
60
dNTPs (10mM)
1.25
15
M-MLV RT
0.5
6
Once combined RNA+oligodT with Master mix, set in "Ernie" at 42C fo 1 hr, 95C for 3 min, and 4C hold for 9 hours, then rested in thermalcycler overnight before running qPCR.


May 27, 2014








[Stock]
ul/rxn
Cocktail (per primer)
Total Volume
-# of NTC
Water

10
20
100
2
Primer - F (uM)
10
0.5
1
5
-#of Unknowns
Primer - R (uM)
10
0.5
1
5
4
Sso Fast EvaGreen Supermix (2X)
1X
10
20
100
Replicate





2
cDNA

2
4
20
Total # Samples
Total volume (ul)
20
23
46
230
10






Thermalcycler conditions
Cycles



95 C
30 sec
1



95 C
5 sec
30-40



55-60 C
10 sec



65-95
10 sec
1



Working qPCR table:
https://docs.google.com/spreadsheet/ccc?key=0An9mivRT-woWdGk1bWtjZG9SSTVBS2h1M1BwMURMSVE&usp=sharing
Working label
Primer Set
Developmental Process
3
Rp_RNF66_F
Rp_RNF67_R
multicellular organismal development
4
Rp_flilCG1484_F
Rp_flilCG1485_R
muscle fiber development
5
Mm_flilCG1484_F
Mm_flilCG1485_R
nematode larval development
9
Mm_HCA57_F
Mm_HCA57_R
embryonic development ending in birth or egg hatching

May 12, 2014


Gel electrophoresis of PCR products.
Used 12 ul sample per well -- 5 ul of HyperLadder II where indicated in table below
set to 120 V for 45 min
Gel Set up:
Lane
Primer
1
Ladder (2000 bp)
2
1
3
2
4
3
5
4
6
5
7
6
8
7
9
8
10
9
11
10
12
NTC
13

14
1
15
2
16
3
17
4
18
5
19
6
20
7
21
8
22
9
23
10
24
NTC
25
Ladder (2000 bp)
26

27

28


Working Label
Primer Set
Product Length
Gene function
1
Rp_dlgCG1725_F
Rp_dlgCG1726_R
162
determination of adult life span
2
Rp_diaCG1768_F
Rp_diaCG1769_R
373
multicellular organismal development
3
Rp_RNF66_F
Rp_RNF67_R
951
multicellular organismal development
4
Rp_flilCG1484_F
Rp_flilCG1485_R
527
muscle fiber development
5
Mm_flilCG1484_F
Mm_flilCG1485_R
319
nematode larval development
6
Rp_skoCG3937a_F
Rp_skoCG3937a_R
332
nervous system development
7
Rp_skoCG3937b_F
Rp_skoCG3937b_R
346
post-embryonic development
8
Rp_ACVR_F
Rp_ACVR_R
874
sarcomere organization
9
Mm_HCA57_F
Mm_HCA57_R
610
embryonic development ending in birth or egg hatching
10
Rp_CSRP2BP_F
Rp_CSRP2BP_R
425
embryonic development ending in birth or egg hatching

Results

Very bright positive for Primer 5-- Meretrix flilCG1484 (nematode larval development)
looks like some contamination in negatve control-- but product is same length as well next to it (used primer 10 in neg control), most likely from loading the gel
Some of these are not the correct product length... Need to get a picture of the ladder key.
It looks like the bands from Meretrix are brighter-- but if two products or not the right length not sure what this really means.

20140512_164056.jpg

Notes and next steps:
really wish I had kept the gel a little longer to take a better pic. These are really blurry. Maybe make another
only need 100 V, 15 min. next time.
qPCR! check out melting curve make sure there's one product.
RNA extraction of larvae? if time allows..

May 9, 2014


Made 1.5% agarose gel-- 150 ml gel tray, 2.25 g agarose, 12 ul Ethidium Bromide.
28 wells-- will need 1000 bp ladder
most likely 15 ul in each well.
Stored in 209 fridge over weekend

May 8, 2014

Conventional PCR for all 10 primer sets in duplicate

stock concentration
volume per reaction (ul)
volume for cocktail
      • of samples
Neg. Control
Total
Notes**
Water
--
8.5
187
20
2
22
*5 primer sets in duplicate
Primer - F (uM)
10
1
22




Primer - R (uM)
10
1
22




GoTaq Green Master Mix (2X)
1X
12.5
275







0




cDNA

2
42




Total volume (ul)

25
550












Thermalcycler conditions



Used "Ernie"
Step
Temperature
Time
Cycles




Denaturation
95C
5min
1




Denaturation
95C
30sec
40




Annealing
55C
30sec




Extension
722C
90sec




Final Extension
72C
3min
1




Hold
4C

1






Working Label
Primer Set
1
Rp_dlgCG1725_F
Rp_dlgCG1726_R
2
Rp_diaCG1768_F
Rp_diaCG1769_R
3
Rp_RNF66_F
Rp_RNF67_R
4
Rp_flilCG1484_F
Rp_flilCG1485_R
5
Mm_flilCG1484_F
Mm_flilCG1485_R
6
Rp_skoCG3937a_F
Rp_skoCG3937a_R
7
Rp_skoCG3937b_F
Rp_skoCG3937b_R
8
Rp_ACVR_F
Rp_ACVR_R
9
Mm_HCA57_F
Mm_HCA57_R
10
Rp_CSRP2BP_F
Rp_CSRP2BP_R

Created working primer stocks-- dilution from 100 uM to 10 uM. stored in FTR 209 freezer

May 6, 2014

Goals:
Conventional PCR to test three primer sets
Reverse transcription of more RNA

Only had enough cDNA for three primers in duplicate (6 wells)
http://replygif.net/t/facepalm

Three cocktail mixes-- one for each primer set.
Forgot a negative control --> will run these primer sets with others in next PCR.
http://replygif.net/t/facepalm (another)

stock concentration
volume per reaction (ul)
volume for cocktail
number of samples
Notes
Water
--
8.5
17
6
*3 primer sets in duplicate
Primer - F (uM)
10
1
2


Primer - R (uM)
10
1
2


GoTaq Green Master Mix (2X)
1X
12.5
25








cDNA

2
4


Total volume (ul)

25
50








Thermalcycler conditions


Step
Temperature
Time
Cycles


Denaturation
95C
5min
1


Denaturation
95C
30sec
40


Annealing
55C
30sec


Extension
722C
90sec


Final Extension
72C
3min
1


Hold
4C

1


Primers used:
1. Rp_dlgCG1725
2. Mm_HCA57
3. Rp_skoCG3937b


Reverse transcription:

Per Rxn
Total used
RNA
17.75
177.5
oligo dT
0.5
5


70C for 5 min


Store on Ice
Master Mix
M-MLV RT buffer (5X)
5
50
dNTPs (10mM)
1.25
12.5
M-MLV RT
0.5
5
Once added the master mix to RNA/dT mixture, incubated at 42C for 1 hour and 70C for 3 min. Stored in -20C.

Primer Database:
https://eagle.fish.washington.edu:5001/fbsharing/z5naeMot

April 1, 2014


"Genomic resource development for shellfish of conservation concern"
http://onlinelibrary.wiley.com/doi/10.1111/1755-0998.12052/full
^ Link to Emma's paper as an example/resource of how to incorporate BLASTx into methods and materials
When citing BLASTx algorithm:
Altschul SF, Madden TL, Schäffer AA et al. (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research, 25, 33893402.

To search for key terms within a column in SQLshare:



March 11, 2014

Running 2 BLASTs on clam database taxonomic ID #6580
1. EST (Meretrix meretrix)
2. mRNA (Ruditapes phillippinarum)

http://nbviewer.ipython.org/url/eagle.fish.washington.edu/scaphapoda/Jessica/ipython_nb/Geoduck_hunt_EST.ipynb
http://nbviewer.ipython.org/url/eagle.fish.washington.edu/scaphapoda/Jessica/ipython_nb/Geoduck_hunt%20_Ruditapes.ipynb

Joined via SQLshare
https://sqlshare.escience.washington.edu/sqlshare/#s=home
to UniProt/Swiss-Prot database to annotate genes

March 10, 2014

To Do:



March 4, 2014

Reverse Transcription Protocol:
A single reaction volume = 25uL.
  1. Aliquotted 17.75uL RNA to 0.5mL snap cap tubes.
  2. Add 0.5uL of Promega oligo dT for total volume of 18.25uL.
  3. Heat samples at 70C for 5 min in thermocycler.
  4. Place samples on ice IMMEDIATELY.
  5. Make Master Mix:
PER RXN
5 uL 5x Buffer (M-MLV RT Buffer)
1.25 uL 10mM dNTPs
0.5 uL M-MLV RT
*Processed one reaction. For future reactions perhaps double the volumes for each sample used (may be pipetting errors with small volumes)
7. Mix well.
8. Add 6.75 uL of master mix to RNA
9. Mix well, but do not vortex.
10.Incubate @ 42C for 1hr in thermalcycler
11.Heat inactivate @ 95C for 3 min.
12.Spot spin.
13.Store @ -20C.

qPCR :


Volume
Concentration

Sso Fast EvaGreen Supermix



Primer F



Primer R



Water



Template





Primers in Boxes 11 and 12; Laternula ellipticca HSP and HSC
1561
Le_HSP70A_F
CTGTCTTGAGCGATGGTGGC
1560
Le_HSP70A_R
TTTGTTACGGTCTTTCCTAAGTA
1559
Le_HSP70B_F
AAGCTTGTCAACCACGGCGG
1558
Le_HSP70B_R
CCTTGACCCTTTGGCCAAGG
1557
Le_HSC70_F
CAATGACAACACTCGCCCCA
1556
Le_HSC70_R
TGTTGACAGTCTTTCCGAGGTA

February 27, 2014


Treating RNA stock with TURBO DNA-free-- treating 25 ul RNA stock to practice with procedure in case of error and for qPCR testing to assure no DNA.
5 x 50ul reactions, 5.052 ul RNA stock per reaction

  1. 5.052 ul RNA (5ug) + 5 ul DNA-free buffer + 0.5 ul DNase reagent + 41.443 ul water in 0.5 ml tube
    • *note* this volume of water is incorrect for the reaction here-- should be 34 ul. Next round of DNA-free treatment needs to be the reaction volume (48 ul) minus the volume RNA and 0.1 vol DNase buffer, 0.1 vol inactivation reagent. (45-5.052-5-1)
  2. incubate for 30 min at 37 C (water bath)
  3. Add 0.5 ul DNase reagent
  4. incubate for 30 min at 37C
  5. Add 0.5 vol DNase Inactivation reagent (5 ul)
  6. Incubate RT for ~2 min
  7. Centrifuge 10,000 x g for 1.5 min
  8. Transfer to new tube-- combined tubes into one

Next steps:

February 23, 2014


Laternula elliptica --
Primer Set
Gene

Primer Sequence
RSq
PCR Efficiency
2F and 2Rev
HSP70A
Lel2F
CTGTCTTGAGCGATGGTGGC
0.998
116.80


Lel2Rev
TTTGTTACGGTCTTTCCTAAGTA


4F and 4Rev
HSP70B
Lel4F
AAGCTTGTCAACCACGGCGG
0.975
107.20


Lel4Rev
CCTTGACCCTTTGGCCAAGG


3F3 and 3Rev
HSC70
Lel3F3
CAATGACAACACTCGCCCCA
0.996
84.30


Lel3Rev
TGTTGACAGTCTTTCCGAGGTA


http://www.ncbi.nlm.nih.gov/tools/primer-blast/primertool.cgi?ctg_time=1393878159&job_key=f2SXa_phU0Vsd2h7CVVaBRJ4aBQBZ3UR
95°C, 5 min; 35 cycles of 95°C, 20 s; 55°C, 20 s; and 72°C for 40 s elongation step of 72°C for 5 min

HSC = heat shock cognate
From Clark et al 2008 -- Antarctic marine mollusks do have HSP70 response


February 14, 2014

Geoduck capstone

RNA isolation


followed lab protocol on RNA isolation bench (will attach picture)
clipped off about half the siphon of one juvenile, remainder is still in RNALater

500 ul Tri Reagent
homogenize
500 ul Tri Reagent
-- took total of about 25 minutes
200 ul Chloroform
vortex
-- very cloudy/milky
centrifuged at 12000 g 15 min 4 deg C
aqueous in new tube
500 ul isopropanol
rest at room temperature about 8 min
centrifuged 12000 g 8 minutes 4 deg C

Nanodrop results
lambda
230
Abs.
10.884
A-260 10 mm
224.743
A_280 10 mm
13.819
260/280
1.79
260/230
2.27
ng/ul
989.7



need units

To Do:
Proposal
check in with Taylor (have trocophores at least!)
Order primers (sheet to Greg, give to Robin)
reverse transcribe to cDNA
-- when doing next RNA isolations, try new kit from Sam in parallel


Experimental set up

brainstorm

larvae-- sent from Taylor at various stages of growth (easiest for them, most direct)
juveniles( all at same age, would be good subjects for environmental stressors)
adult-- diferent gonadal development stages, might be difficult to work with, limits tissue types can use (mostly siphon, nonlethal)

Set Up:
15 individuals at each development stage -- primarily interested in pre and post settlement mortality events and effects of metamorphosis
(summary- 105 individuals...)

Analysis:

RNA extraction
qPCR-- look for HSP70 at each stage

To Do (besides everything):
Email Brent with project plan to send to Mexico contact for primers
Order TriReagent (email sent to Greg, waiting to hear back)
Extract RNA from sample juvenile
Research primers -- NCBI
continue lit search



http://www.pac.dfo-mpo.gc.ca/science/species-especes/shellfish-coquillages/geopath/develop-eng.htm

http://protectourshoreline.org/DNR/ComprehensiveLitReview.pdf (Brent co-authored)

January 27th, 2014

Capstone; Geoduck Panopea abrupta



http://wdfw.wa.gov/fishing/shellfish/geoduck/
http://wdfw.wa.gov/fishing/commercial/geoduck/

http://wdfw.wa.gov/fishing/shellfish/geoduck/geoduck_references.html
References on Geoduck Clams (from wdfw.wa.gov)
  1. Bradbury, A. and J.V. Tagart. 2000. Modeling geoduck, Panopea abrupta (Conrad, 1849) population dynamics.II. Natural mortality and equilibrium yield. J. Shellfish Research, 19(1):63-70.
  2. Bradbury, A., B. Sizemore, D. Rothaus and M. Ulrich 2000. Stock assessment of subtidal geoduck clams (Panopea abrupta) in Washington. WDFW, Technical Report Number FPT00-01. 57 p.
  3. Goodwin, C.L.1976. Observations on spawning an growth of subtidal geoducks (Panope generosa, Gould). Proc. Nat. Shellfisheries Assoc. 65:49-58.
  4. Goodwin, L. and W. Shaul.1984. Age, recruitment and growth of the geoduck clam (Panope generosa, Gould) in Puget Sound, Washington. Wash. Dept. Fish. Progress Rpt. No. 215. 30 p.
  5. Goodwin, C.L. and B. Pease.1989. Species profiles: life histories and environmental requirements of coastal fishes and invertebrates (Pacific Northwest) -- Pacific geoduck clam. U.S. Fish. Wildl Serv. Biol. Rep. 82(11.120). US Army Corps of Engineers, TR EL-82-4. 14 p.
  6. Hoffmann, A., A. Bradbury and C.L. Goodwin.2000. Modeling geoduck , Panopea abrupta (Conrad, 1849) population dynamics. I. Growth. J. Shellfish Research, 19(1):57-62.
  7. Sizemore, B. and C. Blewett.2006. Geoduck studies in Hood Canal. Progress work associated with House Bill 1896. Report to the 2006 legislature, House Select Committee on Hood Canal. January 1, 2006. DNR, Aquatic Resources Division. 54 p.
  8. Washington Department of Natural Resources2000. The Puget Sound Commercial Geoduck Fishery Management Plan. December 2000. DNR, Aquatic Resources Division. 15p.
  9. Washington Department of Natural Resources.2001. Final Supplemental Environmental Impact Statement (FSEIS) for the State of Washington Commercial Geoduck Fishery. May 23, 2001.DNR, Aquatic Resources Division. 135 p.

Preliminary GenBank searches result in many Pab1-9, 12-19 etc cloned microsatellites, 18 S and 28S rRNA.

=


=

=


=

September 23rd 2013

Oyster Histology

Tissue catalog completed with notation for questions and photo notes.
When in town, the last three weeks have been spent completing cuboidal metaplasia count for all new slides (8 slides of 1000 uatm, 8 slides of 1000 uatm + mech, 3 slides 400 uatm, 2 slides 400 uatm + mech, 6 slides 2800 uatm, 2 slides 2800 uatm + mech). Latest metaplasia and tissue data have been added to "Oyster Histology" Excel file on personal computer and uploaded to Eagle.

http://eagle.fish.washington.edu/scaphapoda/Jessica/Oyster%20Histology.xlsx

Metaplasia worksheet:


Treatment
Slide #
Tubules open
Total tubules
Percentage open
400 uatm
H2.74*
16
266
6.02%
400 uatm
H2.80
172
1,339
12.85%
400 uatm
H2.90
46
159
28.93%
400 uatm
H2.95
189
575
32.87%
400 uatm
H2.96
291
1,268
22.95%
400 uatm
H2.93
8
150
5.33%
400 uatm
H2.73
42
192
21.88%
400 uatm
H2.75
130
727
17.88%
400 uatm
H2.76
148
1257
11.77%
400 uatm + mech
H2.82*
58
426
13.62%
400 uatm + mech
H2.84*
20
203
9.85%
400 uatm + mech
H2.86*
0
199
0.00%
400 uatm + mech
H2.87*
15
324
4.63%
400 uatm + mech
H2.88*
9
131
6.87%
400 uatm + mech
H2.85
63
654
9.63%
400 uatm + mech
H2.81
148
984
15.04%
400 uatm + mech
H2.83
100
663
15.08%
1000 uatm
H2.121
16
289
5.54%
1000 uatm
H2.122
54
923
5.85%
1000 uatm
H2.123
174
503
34.59%
1000 uatm
H2.124
29
610
4.75%
1000 uatm
H2.125
113
716
15.78%
1000 uatm
H2.126
142
378
37.57%
1000 uatm
H2.127
46
341
13.49%
1000 uatm
H2.137
42
886
4.74%
1000 uatm + mech
H2.129
0
834
0.00%
1000 uatm + mech
H2.130.
68
799
8.51%
1000 uatm + mech
H1.131
124
1190
10.42%
1000 uatm + mech
H2.132
73
1007
7.25%
1000 uatm + mech
H2.133
169
741
22.81%
1000 uatm + mech
H2.134
0
451
0.00%
1000 uatm + mech
H2.135
155
1210
12.81%
1000 uatm + mech
H2.136
245
1337
18.32%
2800 uatm
H2.19
110
1,025
10.73%
2800 uatm
H2.21
0
613
0.00%
2800 uatm
H2.4
0
0
0.00%
2800 uatm
H2.5
140
707
19.80%
2800 uatm
H2.7
0
0
0.00%
2800 uatm
H2.17
140
686
20.41%
2800 uatm
H2.18
429
1016
42.22%
2800 uatm
H2.20
285
678
42.04%
2800 uatm + mech
H2.13
15
473
3.17%
2800 uatm + mech
H2.14
0
256
0.00%
2800 uatm + mech
H2.16
135
939
14.38%
2800 uatm + mech
H2.11
159
757
21.00%
2800 uatm + mech
H2.12
13
181
7.18%

Photos of new slides:
Name
Position
Objective
Notes
H2.17.1
13 x 106
x10

H2.17.2
13 x 106
x4

H2.18.1
33 x 106
x10

H2.18.2
34x105
x10

H2.11.1
14 x 102
x4

H2.12.1
18 x 104
x4

H2.12.2
18 x 104
x10
possible example of dense hemocytes
H2.71.1
39 x 101
x10
comparative to normal mantle?
H2.83.1
16 x 105
x4
Intestine, sampling artifact
H2.83.2
20 x 107
x4

-- Need to take photos as representative images

Notes on Microscope:

To Do:



=


=

August 23rd 2013

Oyster Histology

Updated "Oyster Histology 1" Excel file on personal computer with the new slides data and rearranged it in an easier format to look at (finally figured out how!) and added "Metaplasia" worksheet so all data is on one document in 2 sheets. Adding stats data to worksheet next once finished with metaplasia data for new slides.


August 21st 2013

Oyster Histology

Samples are in!

Preliminary cataloging for tissue types present, updating Excel file on SR lab desktop under Oyster Histology 1(1). Will upload new/cleaner file later on (after returning from work)
New table should include latest samples with tissues present, which treatment groups all slides belong to, and additional notes. Cleaner version needs new layout-- present layout is very wide and not easily read.

As of right now it looks like only two slides do not include digestive gland. Unfortunately, both are from the 2800 uatm CO2 group, but at least we now have 6 slides to work with for that group instead of the original 2.

Ended day on counting dilated digestive gland lumen in slide H2.122-- took AutoCapture photos to start next round of data collection: AutoCapture 20102338p109--120.tif




August 14th 2013

Oyster Histology

Blog post up on monday the 12th following lab meeting
Selected and shipped off new samples to be stained
Slides kept in 70% ethanol, from Feb. 2012

Shipping Samples (in ethanol) for Central Histology Facility

(R. Strenge)
http://friedmanlabuw.wikispaces.com/Protocols

Inspected by Sam White, shipped with appropriate labels:


external image Excepted-Quantities-Paper-Label-D1779.gif


Slides Used

Treatment Group (uatm)
Slide # (H2.__)
400
73, 74, 75, 76, 80, 90, 93, 95, 96
400 + mech
81, 82, 83, 84, 85, 86, 87, 88
1000
121, 122, 123, 124, 125, 126, 127, 137
1000 + mech
129, 130, 131, 132, 133, 134, 135, 136
2800
1, 3, 4, 5, 6, 7, 8, 17, 18, 19, 20, 21
2800 + mech
9, 10, 11, 12, 13, 14, 15, 16,

Treatment and corresponding sildes (all)

From Feb. 2012 sampling
Treatment Group (uatm)
Slide # (H2.__)
400
73, 74, 75, 76, 77, 78, 79, 80, 89, 90, 91, 92, 93, 94, 95, 96
400 + mech
81, 82, 83, 84, 85, 86, 87, 88,
1000
121-128, 137-138
1000 + mech
129-136
2800
1, 3, 4, 5, 6, 7, 8, 17, 18, 19, 20, 21, 22, 23, 24
2800 + mech
9, 10, 11, 12, 13, 14, 15, 16,

=


=

August 10th 2013

Oyster Histology

Makeshift Box and Whisker plot of Control groups with and without stress... next is trying to make this more distinct, simple, and in an easier way.
1: without stress 2: with stress
When I tried adding axes labels the box portion went away..
external image Jessicaboxandwhisker.png



Ran ANOVA test with single variable and repetition in Excel

One with high pCO2 running ANOVA between stressed and unstressed:
Anova: Single Factor











SUMMARY





Groups
Count
Sum
Average
Variance


Hi pCO2
2
0.1073
0.05365
0.005757


Hi pCO2 + stress
3
0.1754
0.058467
0.0057
















ANOVA






Source of Variation
SS
df
MS
F
P-value
F crit
Between Groups
2.78E-05
1
2.78E-05
0.004868
0.948765
10.12796
Within Groups
0.017156
3
0.005719










Total
0.017184
4






And another for the controls, stressed and unstressed:
Anova: Single Factor













SUMMARY






Groups
Count
Sum
Average
Variance


Control
6
1.0895
0.181583
0.01391


Control + stress
6
0.446
0.074333
0.002247
















ANOVA






Source of Variation
SS
df
MS
F
P-value
F crit
Between Groups
0.034508
1
0.034508
4.271406
0.065642
4.964603
Within Groups
0.080788
10
0.008079










Total
0.115295
11







August 7th 2013

Oyster Histology
1:45-3:30

Met with Carolyn Friedman to go over slides and use of the microscope

Other things to look into:
How long after being spun were the oysters sampled?
How were they sampled? -- how long were they out of the water, were some out of the water longer than others etc.
What about using "JMP" instead of Excel? -- Check out what kind of learning curve that would be

To Do:
Blog Post
Look into hemocyte accumulation
Review control slides
Make Box and Whisker plot
Get R code from Emma?


August 2nd 2013

Oyster Histology
10:00-11:30, 3:00- 4:30

Met with Emma
Treatment
Slide #
Tubules open
Total tubules
Percentage open
Control
H2.74*
16
266
6.02%
Control
H2.80
172
1,339
12.85%
Control
H2.90
46
159
28.93%
Control
H2.95
189
575
32.87%
Control
H2.96
291
1,268
22.95%
Control
H2.93
8
150
5.33%
Control + stress
H2.82*
58
426
13.62%
Control + stress
H2.84*
20
203
9.85%
Control + stress
H2.86*
0
199
0.00%
Control + stress
H2.87*
15
324
4.63%
Control + stress
H2.88*
9
131
6.87%
Control + stress
H2.85
63
654
9.63%
Hi pCO2
H2.19
110
1,025
10.73%
Hi pCO2
H2.21
0
613
0.00%
Hi pCO2 + stress
H2.13
15
473
3.17%
Hi pCO2 + stress
H2.14
0
256
0.00%
Hi pCO2 + stress
H2.16
135
939
14.37%


Problems:

To Do:



July 31st 2013

Oyster Histology

http://ac.els-cdn.com/S0022201196946261/1-s2.0-S0022201196946261-main.pdf?_tid=2791f4aa-fa05-11e2-810d-00000aab0f26&acdnat=1375291262_d7402c4609fc3471ee57bf9e85df59ea




July 30th 2013

Oyster Histology
3:15-6:30 PM

Completed Digestive Tubule Count!

Both open and total with percentage to make sure it's not just a sampling error (some slides had more of the digestive gland included than others)

Slide #
Tubules open
Total tubules (7/24/13)
Percentage open
H2.13
15
473
3.17%
H2.14
0
256
0.00%
H2.16
135
939
14.37%
H2.19
110
1,025
10.73%
H2.21
0
613
0.00%
H2.74*
16
266
6.02%
H2.80
172
1,339
12.85%
H2.82*
58
426
13.62%
H2.84*
20
203
9.85%
H2.86*
0
199
0.00%
H2.87*
15
324
4.63%
H2.88*
9
131
6.87%
H2.90
46
159
28.93%
H2.95
189
575
32.87%
H2.96
291
1,268
22.95%
H2.85
63
654
9.63%
H2.93
8
150
5.33%

Other Notes/ What's next:

Heard back from staining company-- should be able to see chloride cells in gill tissue using current stains. Check this with Dr. Friedman and review the paper.
Hemocyte accumulation: try using Image J to see if it will distinguish hemocytes (and chloride cells?) -- review Roberts paper
Run some stats! Let's see if any of this data is significant




July 29th 2013

Oyster Histology
10:00-11:30 AM

Lab meeting--
Next unseminar 8/22?
Research symposium 8/26 for lil interns
need another blog post!

Image J tutorial wiki -- might start using Image J for hemocyte accumulation. Need to become a little more familiar with it first though.
http://imagejdocu.tudor.lu/doku.php?id=howto:start



July 26th 2013

Oyster Histology
10:30-12:30 AM


Recounted degestive tubules expressing metaplasia
- testing methods

For slides H2.16 and H2.19 I used the count tool while keeping the camera feed live to re-count metaplastic cells
For slides H2.21-H2.80 I used the live feed to mark cells in a single screen, right click to total and to turn the markers red (rather than blue). Then I went through the same screen to count open lumen (while the markers were blue) and totaled that count. I then moved through the slides in rows doing my best not to overlap the photos.

Completed slides H2.16-H2.74. H2.80 had many more digestive tubules than the previous slides; I took pictures using Auto Capture and used the count tool for both total and open tubules.
I did not have time to complete slide H2.80 before having to go to work, ended on photo 20102338po32 (last one in autocapture folder)

To Do:
Finish slide H2.80- pics 26-35
Count digestive cells on remaining slides
Count open lumen on remaining slides
Calculate percentages
Review running some stats
Meet with Dr. Friedman about answering scope questions
Play with Image J for hemocyte accumulation
Review staining article-- Find out if histology company can stain for chloride cells
Blog post

Digestive tubule count updated to below table from July 18th




July 24th 2013

Oyster Histology
3:45-6:00 PM

Counting Digestive cells


Methods:
using Friedman microscope to take pictures of all digestive tubules, then use count tool to mark each tubule.
Later used "AutoCapture" tool for easier access to pictures once taken. After using capture initially, NIS Elements became unresponsive. I reopened it and used autocapture and it worked without crashing again.

Problems:

Questions:
To Do:
Play with Image J- for hemocyte count and for metaplasia
Run stats on metaplasia percentages
Review Roberts paper for hemocyte accumulation


Totals added to below table.

July 18th 2013

Oyster Histology
9:45-10:30 AM; 3:30- 5:30 PM

Metaplasia search

What I was calling "possible metaplasia" yesterday is most likely a slice of intestine (now corrected). So, today the goal was to go through each slide looking specifically for open digestive gland lumen as an indicator of metaplasia.

Notes: amount of digestive gland present varies pretty drastically between slides (leading to sampling errors) maybe use as percentage of total tubules present; requires count tool on Friedman microscope. See if there's a way to count two at once, to differentiate those "open" while counting total.
Intestine tissue tends to have more mucous cells and defined epithelial cells-- looks almost striated (use to differentiate between the two)

Slide #
Tubules open
Total tubules (7/24/13)
Percentage open
H2.13
15
473
3.17%
H2.14
0
256
0.00%
H2.16
135
939
14.37%
H2.19
110
1025
10.73%
H2.21
0
613
0.00%
H2.74*
16
266
6.02%
H2.80
172
1339
12.85%
H2.82*
58
426
13.62%
H2.84*
20
203
9.85%
H2.86*
0
199
0.00%
H2.87*
15
324
4.63%
H2.88*
9
131
6.87%
H2.90
46
159
28.93%
H2.95
189
575
32.87%
H2.96
291
1268
22.95%
H2.85
63
654
9.63%
H2.93
8
150
5.33%
*very few total digestive gland tubules
Open tubule count may change soon using the Friedman microscope.

Other miscellaneous tasks done today:
Fixed picture upload error from Eagle to wikispace; no more "#" in folder titles. Re-embedded photos from Eagle to July 17th table.
Conferred with Emma and Lisa about tissue types seen in July 17th table and whether or not metaplasia was present. Modified below table to reflect corrections (ie. identifying heart and kidney tissues, confirming germinal follicles)

To do:
Prepare slides for staining on Monday
Count total digestive tubules present in each slide to calculate percentages
Review stats notes/book to run preliminary stats on metaplasia


=


=

July 17th 2013

Oyster Histology
2:30-5:00 PM

Exploring stress response detection methods

Goals:


Picture #
Picture
Notes
H2.13.1
external image H2.13.1.jpg
Possible metaplasia
slices of intestine
H2.13.2
external image H2.13.2.jpg
A few open lumen-- metaplasia?
center long tissue probably intestine..
H2.13.3
external image H2.13.3.jpg
Germinal follicles
H2.13.4
external image H2.13.4.jpg
Unknown tissue
H2.13.5
external image H2.13.5.jpg
Closer view of unknown
H2.13.6
external image H2.13.6.jpg
Test of hemocyte counting:
Took area of mantle between digestive gland and intestine
zoomed in to 20x (546.6px X 1913.3 px)
used "count" tool to click on each hemocyte
counted 505 hemocytes...
It's possible that what I was counting may or may not be hemocytes
(more beneficial to do smaller or larger area?)
H2.14.1
external image H2.14.1.jpg
possibly metaplasia -- far left open lumen
center of photo most likely slice of intestine
H2.14.2
external image H2.14.2.jpg
left side might be different tissue
looks like accumulation of hemocytes but surrounded by some other tissue as well..
H2.14.3
external image H2.14.3.jpg
possibly spermatids (better pic than "unknown" table)
H2.14.4
external image H2.14.4.jpg
Mantle, with reproductive follicles
H2.14.5
external image H2.14.5.jpg
Intestine (shot of mucous cells)
H2.14.6
external image H2.14.6.jpg
Heart
Overall

good examples of mucous cells!


Notes:
Captured photos saved under Desktop folder = "Jessica"
Ran into some issues with the slide H2.14.2 picture upload-- continue later
All photos are uploaded to Eagle (C.gigas histology photos #2)
http://eagle.fish.washington.edu/scaphapoda/index.php?dir=Jessica%2FC.+gigas+histology+photos+%232%2F


Miscellaneous tasks done:
E-mailed Dr. Friedman
Blog post
Re-ordered slides-- far right is the start of the slides containing mantle, intestine, digestive gland, AND gill.
H2.13-H2.96



July 15th 2013

Oyster Histology
10:00-11:20; 3:30-4:45

Lab meeting notes: up the blog posts, keep an eye out on the Google + community for lab meeting themes?

Slides containing mantle, gill, digestive gland, and intestine:

Representative photos and unknown tissue photos

Slide number listed on the left (if no slide number than it's a continuation of the previous slide)
It's likely that these are the slides to be used in tissue analysis given the consistency of tissue type
Corresponding notes are in the Excel file below
http://eagle.fish.washington.edu/scaphapoda/index.php?dir=Jessica%2F

H2.13
external image 28.JPG
external image 93.JPG

H2.14
external image 29.JPG
external image 30.JPG

H2.16
external image 33.JPG
external image 32.JPG

H2.19
external image 97.JPG
external image 34.JPG

H2.21
external image 36.JPG
external image 37.JPG

H2.74
external image 46.JPG
external image 47.JPG

H2.80
external image 49.JPG


H2.82
external image 50.JPG
external image 51.JPG

H2.84
external image 52.JPG
external image 53.JPG


external image 54.JPG
external image 55.JPG
external image 56.JPG
H2.86
external image 58.JPG
external image 59.JPG

H2.87
external image 60.JPG
external image 61.JPG

external image 63.JPG
external image 64.JPG

H2.88
external image 67.JPG
external image 65.JPG

H2.90
external image 69.JPG
external image 70.JPG
external image 72.JPG
H2.95
external image 82.JPG
external image 83.JPG
external image 84.JPG
H2.96
external image 85.JPG
external image 86.JPG
external image 87.JPG

external image 88.JPG
external image 89.JPG


Next:
Draft e-mail to Dr. Friedman about unknown tissues and how to proceed.
Inflammation analysis:

Restain for chloride cells around gills


July 10th 2013

Oyster Histology
2:00-5:00 PM

It's official: my computer is too slow to embed pictures. Will be doing so from lab computers from now on...
Embedded pictures into below table
Figured out hot to post to the tumblr, next is OA blog
Reviewed Friedman binder to compare to unknown tissues and analyze metaplasia

(Sidenote/ tangent thought: wondering how histology of Ulcerative Colitis would relate to acidic environments and act as an example of what to look for in inflamed intestine cells; primarily bacteria caused but ulcers usually related to acidic environment... how similar? http://www.sciencedirect.com/science/article/pii/S1542356513004606 <-- markers)



July 8th 2013

Oyster Histology
3:00-7:30 PM

Tutorial on how to use Friedman microscope with Emma and Claire.

Double check How To section to embed pictures from Eagle

Updated Excel file to sort comparable data and isolate unknown tissue types (not sure if this will translate into the previous link)



Unknown Tissue Pictures:

Slide number on the far left, tissue sample will be on the right, most likely one pic at 4x, another 10x.
Red text indicates that particular slide doesn't contain all four tissues (gill, intestine, digestive gland, mantle)-- so it's likely not to be included in comparative analysis

H2.14
external image 29.JPG
external image 30.JPG


H2.16
external image 32.JPG
external image 96.JPG


H2.19
external image 34.JPG
external image 35.JPG


H2.74
external image 44.JPG
external image 45.JPG
external image 47.JPG

H2.88
external image 65.JPG
external image 66.JPG
external image 67.JPG

H2.90
external image 69.JPG
external image 70.JPG
external image 71.JPG

H2.95
external image 83.JPG
external image 84.JPG


H2.10
external image 25.JPG



H2.9
external image 68.JPG
<-- bottom and top tissues surrounding the mantle; just mantle epithelium?


H2.93
external image 73.JPG
external image 74.JPG
external image 75.JPG

H2.93 (con)
external image 76.JPG
external image 77.JPG


external image 79.JPG
external image 78.JPG



external image 80.JPG
external image 81.JPG






July 7th 2013

Oyster Histology

Continue literature search:

Acute stress alters intestinal function of rainbow trout (Olsen et al)
http://www.sciencedirect.com.offcampus.lib.washington.edu/science/article/pii/S004484860500178X
-- food deprivation as stress but looked at different biochemical markers of stress (haemacrit, blood glucose, lactate, cortisol) and changes in permeability of mannitol
-- electron microscopy of enterocytes at different sections (hindgut, midgut etc)

Tissue Adaptation to physical stress (Mueller and Maluf)
http://web.ebscohost.com.offcampus.lib.washington.edu/ehost/detail?sid=9aa32740-1ecf-4c3b-8cd9-406ad0b982fb%40sessionmgr114&vid=1&hid=124&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#db=a9h&AN=6406638

This will probably be a good resource:
"Histological techniques for marine bivalve mollusks" (Howard and Smith)
http://permanent.access.gpo.gov/gpo7399/tmfnec25.pdf



July 3rd 2013

Oyster Histology
10:00-11:30 AM; 2:00-5:00PM

Uploaded Excel file and histology slide photos to Eagle server--> Scaphopoda--> Jessica
http://128.95.149.81:5000/webman/index.cgi

http://eagle.fish.washington.edu/scaphapoda/index.php?dir=Jessica%2F


(renamed photo files, struggled with iPhone connections, followed Roberts lab on tumblr and Facebook)

Continued literature search...

Next Wednesday, 8;30AM, will be learning how to use C. Friedman microscope to measure different tissue sizes- looking for signs of inflammation
Still should get a better idea of what histology looks like in response to stress, become familiar with identifying tissues and noticing differences

June 28th, July 1st and 2nd 2013

Oyster Histology
Literature Search

Sites to go back to and find full text articles and read in more detail:
Still need: more histological examples of heart, kidney, post-esophagus, inflammation comparison



June 27th 2013

Oyster Histology
3:20-5:45 PM

I continued to catalog the tissue types contained in the rest of the slides today; a grand total of all 24 slides.
I'm not sure if the whole table will fit, it's pretty wide.

H2.1
H2.10
H2.13
H2.14
H2.15
H2.16
H2.19
H2.21
H2.3
H2.6
H2.74
H2.8
H2.80
H2.82
H2.84
H2.85
H2.86
H2.87
H2.88
H2.9
H2.90
H2.93
H2.95
H2.96
Gill
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Intestine
x
x
x
x
x
x
x
x
?
x
x

x
x
x

x
x
x
x
x

x
x
Digestive Gland


x
x

x
x
x


x

x
x
x
x
x
x
x

x
x
x
x
Mantle
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Adductor
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x

x
x
x
x
x
x
x
x
Other

Heart?

premature sperm?

see pic 32
heart?



see pics 43&44







heart? Kidney?
see pic 68…
kidney or post esophagus?
spermatids and oocytes?? (pic 77)
see pics 83-84























post-esophagus?


Picture #
27(10x), 90(4x), 91(10x)
25(4x), 92(4x),
28(4x), 93(10x)
29(4x), 30(10x)
31(4x), 94(10x), 95(40x),
32(4x),96(10x), 33(4x)
34(4x), 35(10x), 97(4x)
36(4x), 37(4x),
38(4x), 39(10x), 40(4x)
41(4x), 42(4x), 43(10x)
44(10x), 45(40x), 46(4x), 47(40x)
48(4x)
49(4x)
50(4x), 51(4x)
52(4x), 53(10x), 54(4x), 55(10x), 56(40x)
56(10x), 57(10x)
58(4x), 59(10x)
60(4X), 61(10X), 62(4X), 63(10X), 64(40X)
65(10x), 66(40x), 67(10x),
68(4x),
69(4x), 70(10x), 71(40x), 72(10x),
73(4x),74(10x), 75(40x), 76(10x), 77(40x), 78(40x), 79(10x), 80(10x), 81(40x)
82(4x), 83(10x) 84(40x)
85(4x), 86(4x), 87(4x), 88(10x), 89(4x)
Notes:
pic 27 might be mantle but looks like dense muscle, adductor muscle in visceral mass sample
pic of what might be heart
intestine appears torn/sliced, adductor dispersed/broken, 93 is closer of 28

really small sample, diffuse
large slice in adductor muscle, intestine torn/sliced
majority of tissue is digestive glad, potential heart tissue is on adductor sample
generally difffuse, intestine torn/sliced, pic 36 is on adductor sample
appears to be mostly mantle, can't tell if there is intestine or not, much of it is diffuse

small blue dots in clusters throughout mantle
diffuse adductor
lots of gill and digestive gland

pics 54-56 correlate to the same tissue/structure
see pic for intestine?

diffuse mantle tissue, possibly reporoductive follicles throughout
diffuse adductor
not much intestine, what's there is pretty torn
spread out sample, lots of tearing
79 is a zoomed out shot of 78. There seems to be a lot more hemocytes (or at least the small purple dots) throughout the mantle than in other slides
possibly a good representative slide of wanted cross section
much of intestine sliced/torn, lots of digestive gland; pic 89 is adductor w/other tissue?

I also added the objective used for early slide photos and took a few more representative pictures. As I got to the later slides I was a little more comfortable with noticing other tissues and thinking of what they could look like, causing me to go back through slides from yesterday and there were a few similar structures. The slides seem pretty inconsistent when it comes to what kind of tissue is actually there; some of the cross sections are from different areas of each oyster and some are pretty torn/spread out.

To Do:

Planning on coming back into the lab in the morning, though may end up doing a literature search from home instead depending on car troubles I'm anticipating in the morning.




June 26th 2013

Oyster Histology
10:30-11:10 AM; 2:15- 5:15 PM

Today was mostly fiddling with set-ups, figuring out the Google calendar for the lab, setting up the wikispace to correlate with the Roberts Lab page and beginning analyzing histology slides. I set up the iPhone we are using for a camera, which took more time than it should have but ended successfully! *Remember to turn on the camera first then mount the holster to the scope, directly mounting the lense to the iPhone ends up cutting off much of the field of view. I then organized Emma's slides in numerical order and set up an Excel file to include the tissue types I was looking for: gill, intestine, digestive glad, mantle, and adductor muscle, as well as space for other tissues, additional notes, and a corresponding picture number. About halfway through I started adding what objective the pictures correlated to and I probably should have done that from the start. This may mean going back through earlier pics and assigning objectives to have an accurate scale.

Things to think about:
If there is "mystery tissue", how likely is that to be kidney? Example histology pics indicate close proximity-- take a closer look at what that looks like
Reproductive structures-- maybe double check for oocytes and spermatids
Heart tissue may be present
Some tissue torn or sliced-- not sure how much of that is from the live oyster and how much was transferring into slides

The 17 slides I have so far:

H2.1
H2.10
H2.13
H2.14
H2.15
H2.16
H2.19
H2.21
H2.3
H2.6
H2.74
H2.8
H2.80
H2.82
H2.84
H2.85
H2.86
Gill
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Intestine
x
x
x
x
x
x
x
x
?
x
x

x
x
x

x
Digestive Gland


x
x

x
x
x


x

x
x
x
x
x
Mantle
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Adductor
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x

x
Other

Heart?

premature sperm?

see pic 32
heart?



see pics 43&44
























Picture #
27
25
28
29(4x), 30(10x)
31
32, 33
34, 35
36, 37,
38(4x), 39(10x), 40(4x)
41(4x), 42(4x), 43(10x)
44(10x), 45(40x), 46(4x), 47(40x)
48(4x)
49(4x)
50(4x), 51(4x)
52(4x), 53(10x), 54(4x), 55(10x), 56(40x)
56(10x), 57(10x)
58(4x), 59(10x)
Notes:
pic might be mantle, but looks like dense muscle
pic of what might be heart
intestine appears torn/sliced, adductor dispersed/broken

really small sample, diffuse
large slice in adductor muscle, intestine torn/sliced
majority of tissue is digestive glad
generally difffuse, intestine torn/sliced
appears to be mostly mantle, can't tell if there is intestine or not, much of it is diffuse

small blue dots in clusters throughout mantle
diffuse adductor
lots of gill and digestive gland

pics 54-56 correlate to the same tissue/structure
see pic for intestine?




June 25th 2013

Oyster Histology
9:00-10:25 AM

This was my first day working in the Roberts lab with Emma. I became more oriented with the lab and Emma lead me through some example histology pictures. We then looked at about 5 slides of hers and Mac's to give me a better idea of what kinds of tissues I was actually looking at. I will be primarily cataloging what types of tissues are in Emma's slides as they seem to be inconsistent in what tissues were included across the samples. The main tissues I am checking for are intestine, digestive glad, mantle, and gill-- the cross section of the oyster extending dorso-ventrally.
Other things to remember seeing: light blue dots (larger than hemocytes) might be mucous cells, spermatids can be dark and tightly clustered, oocytes may look similar to digestive tissues but without "star" shape, open digestive tubules may indicate metaplasia, signs of stress could be flooding of hemocytes