def serial_dilute_plus(protocol, params):
params = make_dottable_dict(params)
dilution_plate = protocol.ref("dilution plate",
cont_type="96-flat",
storage=params.storage_condition)
# total_well_volume is 150 so that a factor of 2 dilution we don't exceed the well volume.
total_well_volume = Unit(150, "microliter")
num_of_dilutions = 8
wells = dilution_plate.wells_from(0,
num_of_dilutions * len(params.samples),
columnwise=True)
protocol.dispense(dilution_plate, params.diluent, [{
'column':
i,
'volume':
total_well_volume -
(total_well_volume / params.samples[i]["dilution_factor"])
} for i in xrange(0, len(params.samples))])
for g in params["samples"]:
protocol.transfer(g["sample"],
dilution_plate.well(params.samples.index(g)),
total_well_volume / g["dilution_factor"],
mix_after=True)
g["column"] = params.samples.index(g)
for g in params["samples"]:
well = g["column"] * 8
while well < g["column"] * 8 + 7:
protocol.transfer(wells[well],
wells[well + 1],
total_well_volume / g["dilution_factor"],
mix_after=True)
well += 1
def spread_n_pick(protocol,params):
params = make_dottable_dict(params)
today = datetime.date.today()
liquid_culture_plate = protocol.ref("liquid_culture_plate_%s" % today, cont_type="96-deep", storage = "cold_4")
solid_culture_plate = ppu.ref_kit_container(protocol, "colony_plate_%s" % today, "6-flat", ppu.return_agar_plates(6)["noAB"], store="warm_37")
samples = sum([[s] * 1 for s in params.samples], [])
solid_culture_plate_wells = solid_culture_plate.wells_from("A1", len(samples))
antibiotic_id = params.antibiotic_id
for innoculant, dest in zip(params.samples, solid_culture_plate_wells):
protocol.spread(innoculant, dest, params.sample_volume)
protocol.cover(solid_culture_plate)
protocol.incubate(solid_culture_plate, "warm_37", params.plate_growth_time, shaking = False)
protocol.dispense(liquid_culture_plate, params.media, [{'column': i, 'volume': params.media_volume} for i in xrange(len(samples))])
if len(params.antibiotic_id) > 0:
protocol.provision(antibiotic_id, liquid_culture_plate.wells_from(0, len(samples) * 8, columnwise = True), params.antibiotic_volume)
if len(params.carbon_source) > 0:
protocol.distribute(params.carbon_source.set_volume("1500:microliter"), liquid_culture_plate.wells_from(0, len(samples) * 8, columnwise = True), params.carbon_source_volume)
protocol.uncover(solid_culture_plate)
protocol.image_plate(solid_culture_plate, "top", dataref="culture_plate_image__%s" % today)
count = 0
while count < len(samples):
protocol.autopick(solid_culture_plate.well(count), liquid_culture_plate.wells_from(count,8,columnwise = True), min_count = params.minimum_picked_colonies, dataref="autopick_%d" % count)
count += 1
protocol.cover(solid_culture_plate)
protocol.cover(liquid_culture_plate)
protocol.incubate(liquid_culture_plate,"warm_37", params.liq_growth_time, shaking=True)
def serial_dilute_plus(protocol,params):
params = make_dottable_dict(params)
dilution_plate = protocol.ref("dilution plate", cont_type="96-flat", storage = params.storage_condition)
# total_well_volume is 150 so that a factor of 2 dilution we don't exceed the well volume.
total_well_volume = Unit(150,"microliter")
num_of_dilutions = 8
wells = dilution_plate.wells_from(0, num_of_dilutions * len(params.samples ), columnwise = True)
protocol.dispense(dilution_plate, params.diluent, [{'column': i, 'volume': total_well_volume - (total_well_volume/params.samples[i]["dilution_factor"])} for i in xrange(0,len(params.samples))])
for g in params["samples"]:
protocol.transfer(g["sample"], dilution_plate.well(params.samples.index(g)), total_well_volume/g["dilution_factor"], mix_after = True)
g["column"] = params.samples.index(g)
for g in params["samples"]:
well = g["column"] * 8
while well < g["column"] * 8 + 7:
protocol.transfer(wells[well], wells[well+1], total_well_volume/g["dilution_factor"], mix_after = True)
well += 1
def glycerol_storage(protocol,params):
params = make_dottable_dict(params)
for g in params["samples"]:
container = protocol.ref(g["label"], cont_type="micro-1.5", storage = "cold_80")
protocol.provision("rs17rrhqpsxyh2", container.well(0), "500:microliter")
protocol.transfer(g["sample"], container.well(0), "500:microliter", mix_after = True)
def kunkel_mutagenesis(protocol, params):
def find_part(part_name, check_primer=False):
if check_primer and (params.t7pro or params.t7term):
return 'primer'
else:
aq = find_aliquot_by_name(part_name)
if not aq:
raise ValueError("Couldn't find aliquot with name '%s'" %
part_name)
container = None
for r in protocol.refs.itervalues():
if r.opts.get('id') == aq['container']['id']:
container = r.container
break
if container is None:
container = protocol.ref(
aq['container']['label'] or aq['container']['id'],
aq['container']['id'],
aq['container']['container_type']['shortname'],
discard=False,
storage="cold_20")
return container.well(aq['well_idx']).set_volume("%s:microliter" %
aq['volume_ul'])
def make_10_atp(vol):
# account for tube dead_vol
vol = vol + 15
atp = protocol.ref("atp_10mM", cont_type='micro-1.5',
discard=True).well(0)
protocol.provision('rs16pccshb6cb4', atp, "%s:microliter" % (vol / 10))
protocol.provision('rs17gmh5wafm5p', atp,
"%s:microliter" % (vol - (vol / 10)))
return atp
def provision_reagents(reagents, dest):
for key, reagent in reagents.iteritems():
protocol.provision(
reagent[0], dest, "%s:microliter" %
((len(params.mutants) + 1.0) * reagent[1] * add_mm))
def isLast(itr):
old = itr.next()
for new in itr:
yield False, old
old = new
yield True, old
params = make_dottable_dict(params)
params.ssDNA = find_part(params.ssDNA)
params.mutants = []
# read in oligos and mutants
with open('kunkel_mutants.csv', 'rU') as rxtmap:
reader = csv.reader(rxtmap)
current_mutant_label = ''
current_sequencing_primer = ''
for idx, (is_last, row) in enumerate(isLast(reader)):
if idx == 0 and row[0] == 'mutant_label':
continue
if row[0] != current_mutant_label:
if current_mutant_label != '':
params.mutants.append({
'sequencing_primer':
find_part(current_sequencing_primer, True),
'mutant_label':
current_mutant_label,
'oligos':
my_oligos
})
current_mutant_label = row[0]
current_sequencing_primer = row[1]
my_oligos = []
my_oligos.append({
"oligo_label": row[2],
"sequence": row[3],
"scale": row[4],
"purification": row[5]
})
if is_last:
params.mutants.append({
'sequencing_primer':
find_part(current_sequencing_primer, True),
'mutant_label':
current_mutant_label,
'oligos':
my_oligos
})
# mastermix vol to make - needs to be adjusted based on testing
add_mm = 1.3
# Get unique set of oligos based on sequence data
# Oligosynthesize
oligos_to_synthesize = []
for i, mutant in enumerate(params.mutants):
mutant["mutant_label"] = mutant["mutant_label"] or "mutant_%s" % (i +
1)
oligos_to_synthesize.append(mutant["oligos"])
flattened = [val for sublist in oligos_to_synthesize for val in sublist]
oligos_to_synthesize = list({v['sequence']: v for v in flattened}.values())
# re-factor to remove add_properites
oligo_containers = []
oligos = []
for i, oligo in enumerate(oligos_to_synthesize):
label = oligo["oligo_label"] or "seq_%s" % i
oligo_containers.append(
protocol.ref(label, None, "micro-2.0", storage="cold_4").well(0))
oligo_containers[i].add_properties({"sequence": oligo["sequence"]})
oligos.append({
"sequence": oligo["sequence"],
"destination": oligo_containers[i],
"scale": oligo["scale"],
"purification": oligo["purification"]
})
protocol.oligosynthesize(oligos)
# Kinase
kinase_oligo_plate = protocol.ref("kinase_oligo_plate",
None,
"96-pcr",
storage="cold_20")
wells_to_kinase = kinase_oligo_plate.wells_from("A1", len(oligos))
# provision atp for entire protocol
atp_needed = ((len(oligos) * add_mm) +
(len(params.mutants) + 1) * 0.4 * add_mm)
atp = make_10_atp(atp_needed)
kinase_mix = []
for i in range(int(math.ceil(len(oligos) / 60.0))):
kinase_mix.append(
protocol.ref("kinase_mix-%s" % (i + 1),
None,
"micro-1.5",
discard=True).well(0))
reagents = {
'pnkbuffer': ['rs16pc9rd5sg5d', 3],
'water': ['rs17gmh5wafm5p', 18],
'pnk': ['rs16pc9rd5hsf6', 1]
}
provision_reagents(reagents, kinase_mix)
protocol.transfer(atp,
kinase_mix,
"%s:microliter" %
((len(params.mutants) + 1) * 1 * add_mm),
new_group=True)
protocol.transfer(kinase_mix, wells_to_kinase, "23:microliter",
**transfer_kwargs(15, True, True))
for i, oligo in enumerate(oligo_containers):
protocol.transfer(
oligo,
wells_to_kinase[i],
"7:microliter",
mix_after=False,
new_group=det_new_group(i),
aspirate_source=aspirate_source(depth=depth(
"ll_following", lld="pressure", distance="0.0:meter")),
**transfer_kwargs(10))
protocol.seal(kinase_oligo_plate)
protocol.thermocycle(
kinase_oligo_plate,
[{
"cycles": 1,
"steps": [
{
"temperature": "37:celsius",
"duration": "60:minute"
},
]
}],
volume="30:microliter")
# make ssDNA_mastermix
mix_plate = protocol.ref("mix_plate", None, "96-pcr", discard=True)
ssDNA_mix = mix_plate.well(0)
protocol.transfer(
params.ssDNA, ssDNA_mix,
"%s:microliter" % ((len(params.mutants) + 1) * 2.0 * add_mm),
**transfer_kwargs((len(params.mutants) + 1) * 1))
protocol.provision(
'rs17sh5rzz79ct', ssDNA_mix,
"%s:microliter" % ((len(params.mutants) + 1) * 0.2 * add_mm))
# Dilute
protocol.unseal(kinase_oligo_plate)
diluted_oligo_plate = protocol.ref("dilute_oligo_plate",
None,
"96-flat",
discard=True)
diluted_oligo_wells = diluted_oligo_plate.wells_from(
0, len(params.mutants))
water = [
provision_to_tube(protocol, "water%s" % (i + 1), "micro-2.0",
"rs17gmh5wafm5p", 1900)
for i in range(int(math.ceil(len(params.mutants) / float(9.5))))
]
protocol.transfer(water,
diluted_oligo_wells,
"200:microliter",
disposal_vol="0:microliter",
**transfer_kwargs(40, True, True))
mutants = [m for m in params.mutants if m]
mutants = sorted(mutants, key=lambda mutant: mutant["mutant_label"])
for i, m in enumerate(mutants):
for j, kin_oligo in enumerate(m["oligos"]):
if i == 0 and j == 0:
new_group = True
else:
new_group = False
index = next(
(i for i, olig in enumerate(oligo_containers)
if olig.properties["sequence"] == kin_oligo["sequence"]), -1)
protocol.transfer(kinase_oligo_plate.well(index),
diluted_oligo_plate.well(i),
"2:microliter",
mix_after=True,
mix_vol="2:microliter",
new_group=new_group,
**transfer_kwargs(10))
protocol.cover(diluted_oligo_plate)
protocol.spin(diluted_oligo_plate, "700:meter/second^2", "2:minute")
protocol.uncover(diluted_oligo_plate)
# Anneal
annealing_plate = protocol.ref("annealing_oligo_plate",
None,
"384-pcr",
storage="cold_20")
anneal_wells = annealing_plate.wells_from(0, len(params.mutants))
protocol.transfer(ssDNA_mix,
anneal_wells.wells,
"2.2:microliter",
dispense_speed="50:microliter/second",
**transfer_kwargs(7, True, True))
for i, oligo_reaction in enumerate(
zip(diluted_oligo_wells.wells, anneal_wells.wells)):
protocol.transfer(oligo_reaction[0],
oligo_reaction[1],
"2:microliter",
aspirate_source=aspirate_source(
depth("ll_bottom", distance=".001:meter")),
mix_after=True,
mix_vol="2:microliter",
flowrate="50:microliter/second",
repetitions=2,
new_group=det_new_group(i),
**transfer_kwargs(5))
protocol.seal(annealing_plate)
protocol.spin(annealing_plate, "700:meter/second^2", "2:minute")
protocol.thermocycle(annealing_plate, [{
"cycles":
1,
"steps":
thermocycle_ramp("95:celsius", "25:celsius", "60:minute", "4:minute")
}],
volume="5:microliter",
dataref=None,
dyes=None)
# Step 4 - Polymerize
protocol.unseal(annealing_plate)
polymerize_MM = mix_plate.well(12)
reagents = {
"buffer": ['rs17sh5rzz79ct', 0.6],
"t4ligase": ['rs16pc8krr6ag7', 0.4],
"t7polymerase": ['rs16pca2urcz74', 0.4],
"dntp": ['rs16pcb542c5rd', 0.4]
}
provision_reagents(reagents, polymerize_MM)
protocol.transfer(atp,
polymerize_MM,
"%s:microliter" %
((len(params.mutants) + 1) * 0.4 * add_mm),
new_group=True)
for reaction in anneal_wells.wells:
protocol.transfer(polymerize_MM,
reaction,
"2.2:microliter",
mix_after=False,
**transfer_kwargs(10))
protocol.seal(annealing_plate)
protocol.incubate(annealing_plate, "ambient", "1.5:hour")
# Transformation using Zymo 10B Competent Cells
transformation_cells = []
for i in range(len(params["mutants"])):
transformation_cells.append(
provision_to_tube(protocol, "cell_%s" % (i), "micro-1.5",
"rs16pbjc4r7vvz", 50))
num_colonies = params["num_colonies"]
assert len(params["mutants"]) * num_colonies <= 96, (
"This protocol is limited to 96 sequenced colonies, please "
"submit additional runs if needed.")
transformation_plate = protocol.ref("transformation_plate",
None,
"96-pcr",
discard=True)
protocol.incubate(transformation_plate, "cold_20", "10:minute")
transformation_wells = transformation_plate.wells_from(0,
len(params.mutants),
columnwise=False)
for i, tube in enumerate(transformation_cells):
protocol.transfer(tube,
transformation_wells[i],
"50:microliter",
mix_after=False)
protocol.unseal(annealing_plate)
for i, rxt in enumerate(anneal_wells):
protocol.transfer(anneal_wells[i],
transformation_wells[i],
"2.0:microliter",
dispense_speed="10:microliter/second",
mix_after=False,
new_group=det_new_group(i))
protocol.cover(transformation_plate, lid="universal")
protocol.incubate(transformation_plate,
"cold_4",
"20:minute",
shaking=False,
co2=0)
protocol.uncover(transformation_plate)
agar_plates = []
assert len(mutants) == len(transformation_wells), (
"Sanity check failed. There is an issue with the number of"
"mutants and the number of transformations.")
for well in range(0, len(transformation_wells), 6):
agar_plate = ref_kit_container(
protocol,
"agar-%s_%d_%s" % (params["antibiotic"].split("_")[-1], well + 1,
printdatetime(time=False)),
"6-flat",
return_media('solid')[params["antibiotic"]],
discard=False,
store='cold_4')
agar_plates.append(agar_plate)
for i, well in enumerate(transformation_wells[well:well + 6]):
protocol.spread(well, agar_plate.well(i), "50:microliter")
protocol.incubate(agar_plate, "warm_37", "18:hour")
growth_plate = protocol.ref("growth_plate_%s" % printdatetime(time=False),
None,
"96-flat",
discard=True)
cols = int(math.ceil(len(params.mutants) * num_colonies / float(8)))
columns = [{
"column": i,
"volume": "150:microliter"
} for i in range(0, cols)]
protocol.dispense(growth_plate,
return_media('liquid')[params["antibiotic"]], columns)
growth_wells = growth_plate.wells_from(0,
num_colonies * len(params.mutants),
columnwise=True)
i = 0
for k, plate in enumerate(agar_plates):
for j in range(6):
if plate.well(j).volume:
protocol.autopick(plate.well(j),
growth_wells[i:i + num_colonies],
min_count=1,
dataref=mutants[k * 6 + j]['mutant_label'])
i = i + num_colonies
protocol.cover(growth_plate, lid="low_evaporation")
protocol.incubate(growth_plate, "warm_37", "24:hour", shaking=True, co2=0)
protocol.uncover(growth_plate)
if params.t7pro:
seq_plate = protocol.ref("sequencing_plate_t7pro_%s" %
printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0,
num_colonies *
len(params.mutants),
columnwise=True)
t7pro_primer = protocol.ref("t7promoter",
cont_type="micro-1.5",
storage="cold_4")
protocol.provision("rs17tcpekfy7v9", t7pro_primer.well(0),
"1:microliter")
protocol.provision(
"rs17gmh5wafm5p", t7pro_primer.well(0),
"%s:microliter" % (num_colonies * (len(params.mutants) + 2)))
protocol.transfer(growth_wells, seq_well_group, "30:microliter")
protocol.seal(seq_plate)
protocol.sangerseq(seq_plate,
seq_well_group.indices(),
"Seq_primer_T7promoter",
type="rca",
primer=t7pro_primer)
if params.t7term:
seq_plate = protocol.ref("sequencing_plate_t7term_%s" %
printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0,
num_colonies *
len(params.mutants),
columnwise=True)
t7term_primer = protocol.ref("t7terminator",
cont_type="micro-1.5",
storage="cold_4")
protocol.provision("rs17tcpwfbgzqd", t7term_primer.well(0),
"1:microliter")
protocol.provision(
"rs17gmh5wafm5p", t7term_primer.well(0),
"%s:microliter" % (num_colonies * (len(params.mutants) + 2)))
protocol.transfer(growth_wells, seq_well_group, "30:microliter")
protocol.seal(seq_plate)
protocol.sangerseq(seq_plate,
seq_well_group.indices(),
"Seq_primer_t7terminator",
type="rca",
primer=t7term_primer)
if not (params.t7pro or params.t7term):
seq_plate = protocol.ref("sequencing_plate_%s" %
printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0,
num_colonies *
len(params.mutants),
columnwise=True)
j = 0
seq_primers = {}
mutant_well_table = {}
for seq_set in mutants:
seq_wells = WellGroup(seq_well_group[j:j + num_colonies])
protocol.transfer(growth_wells[j:j + num_colonies], seq_wells,
"30:microliter")
if seq_set["sequencing_primer"] not in seq_primers:
seq_primers[seq_set["sequencing_primer"]] = seq_wells.indices()
mutant_well_table[seq_set["sequencing_primer"]] = {
seq_set["mutant_label"]: seq_wells.indices()
}
else:
seq_primers[seq_set["sequencing_primer"]].extend(
seq_wells.indices())
if seq_set["mutant_label"] not in mutant_well_table[
seq_set["sequencing_primer"]]:
mutant_well_table[seq_set["sequencing_primer"]].update(
{seq_set["mutant_label"]: seq_wells.indices()})
else:
mutant_well_table[seq_set["sequencing_primer"]][
seq_set["mutant_label"]].extend(seq_wells.indices())
j += num_colonies
protocol.seal(seq_plate)
for primer, wells in seq_primers.iteritems():
dataref = "Seq_primer_%s" % (primer.container.name)
assert primer.volume - Unit("1.1", "microliter").__mul__(
len(wells)
) > Unit(
"0", "microliter"
), "You must have at least 1.1uL of sequencing primer per reaction well."
protocol.sangerseq(seq_plate,
wells,
dataref,
type="rca",
primer=primer.container)
def kunkel_mutagenesis(protocol, params):
def find_part(part_name, check_primer=False):
if check_primer and (params.t7pro or params.t7term):
return 'primer'
else:
aq = find_aliquot_by_name(part_name)
if not aq:
raise ValueError(
"Couldn't find aliquot with name '%s'" % part_name)
container = None
for r in protocol.refs.itervalues():
if r.opts.get('id') == aq['container']['id']:
container = r.container
break
if container is None:
container = protocol.ref(
aq['container']['label'] or aq['container']['id'],
aq['container']['id'],
aq['container']['container_type']['shortname'],
discard=False,
storage="cold_20"
)
return container.well(aq['well_idx']).set_volume("%s:microliter" % aq['volume_ul'])
def make_10_atp(vol):
# account for tube dead_vol
vol = vol + 15
atp = protocol.ref("atp_10mM", cont_type='micro-1.5', discard=True).well(0)
protocol.provision('rs16pccshb6cb4', atp, "%s:microliter" % (vol/10))
protocol.provision('rs17gmh5wafm5p', atp, "%s:microliter" % (vol - (vol/10)))
return atp
def provision_reagents(reagents, dest):
for key, reagent in reagents.iteritems():
protocol.provision(reagent[0],
dest,
"%s:microliter" % ((len(params.mutants) + 1.0) * reagent[1] * add_mm))
def isLast(itr):
old = itr.next()
for new in itr:
yield False, old
old = new
yield True, old
params = make_dottable_dict(params)
params.ssDNA = find_part(params.ssDNA)
params.mutants = []
# read in oligos and mutants
with open('kunkel_mutants.csv', 'rU') as rxtmap:
reader = csv.reader(rxtmap)
current_mutant_label = ''
current_sequencing_primer = ''
for idx, (is_last, row) in enumerate(isLast(reader)):
if idx == 0 and row[0] == 'mutant_label':
continue
if row[0] != current_mutant_label:
if current_mutant_label != '':
params.mutants.append({
'sequencing_primer': find_part(current_sequencing_primer, True),
'mutant_label': current_mutant_label,
'oligos': my_oligos
})
current_mutant_label = row[0]
current_sequencing_primer = row[1]
my_oligos = []
my_oligos.append({"oligo_label": row[2],
"sequence": row[3],
"scale": row[4],
"purification": row[5]})
if is_last:
params.mutants.append({
'sequencing_primer': find_part(current_sequencing_primer, True),
'mutant_label': current_mutant_label,
'oligos': my_oligos
})
# mastermix vol to make - needs to be adjusted based on testing
add_mm = 1.3
# Get unique set of oligos based on sequence data
# Oligosynthesize
oligos_to_synthesize = []
for i, mutant in enumerate(params.mutants):
mutant["mutant_label"] = mutant["mutant_label"] or "mutant_%s" % (i + 1)
oligos_to_synthesize.append(mutant["oligos"])
flattened = [val for sublist in oligos_to_synthesize for val in sublist]
oligos_to_synthesize = list({v['sequence']: v for v in flattened}.values())
# re-factor to remove add_properites
oligo_containers = []
oligos = []
for i, oligo in enumerate(oligos_to_synthesize):
label = oligo["oligo_label"] or "seq_%s" % i
oligo_containers.append(protocol.ref(label, None, "micro-2.0",
storage="cold_4").well(0))
oligo_containers[i].add_properties({"sequence": oligo["sequence"]})
oligos.append({"sequence": oligo["sequence"],
"destination": oligo_containers[i],
"scale": oligo["scale"],
"purification": oligo["purification"]})
protocol.oligosynthesize(oligos)
# Kinase
kinase_oligo_plate = protocol.ref("kinase_oligo_plate", None, "96-pcr",
storage="cold_20")
wells_to_kinase = kinase_oligo_plate.wells_from("A1", len(oligos))
# provision atp for entire protocol
atp_needed = ((len(oligos) * add_mm) + (len(params.mutants) + 1) * 0.4 * add_mm)
atp = make_10_atp(atp_needed)
kinase_mix = []
for i in range(int(math.ceil(len(oligos)/60.0))):
kinase_mix.append(protocol.ref("kinase_mix-%s" % (i + 1), None, "micro-1.5", discard=True).well(0))
reagents = {'pnkbuffer': ['rs16pc9rd5sg5d', 3],
'water': ['rs17gmh5wafm5p', 18],
'pnk': ['rs16pc9rd5hsf6', 1]}
provision_reagents(reagents, kinase_mix)
protocol.transfer(atp, kinase_mix, "%s:microliter" % ((len(params.mutants) + 1) * 1 * add_mm), new_group=True)
protocol.transfer(kinase_mix,
wells_to_kinase,
"23:microliter",
**transfer_kwargs(15, True, True))
for i, oligo in enumerate(oligo_containers):
protocol.transfer(oligo,
wells_to_kinase[i],
"7:microliter",
mix_after=False,
new_group=det_new_group(i),
aspirate_source=aspirate_source(depth=depth("ll_following",
lld="pressure",
distance="0.0:meter")),
**transfer_kwargs(10))
protocol.seal(kinase_oligo_plate)
protocol.thermocycle(kinase_oligo_plate,
[{"cycles": 1, "steps": [
{"temperature": "37:celsius",
"duration": "60:minute"},
]}
], volume="30:microliter")
# make ssDNA_mastermix
mix_plate = protocol.ref("mix_plate", None, "96-pcr", discard=True)
ssDNA_mix = mix_plate.well(0)
protocol.transfer(params.ssDNA,
ssDNA_mix,
"%s:microliter" % ((len(params.mutants) + 1) * 2.0 * add_mm),
**transfer_kwargs((len(params.mutants) + 1) * 1))
protocol.provision('rs17sh5rzz79ct', ssDNA_mix, "%s:microliter" % ((len(params.mutants) + 1) * 0.2 * add_mm))
# Dilute
protocol.unseal(kinase_oligo_plate)
diluted_oligo_plate = protocol.ref("dilute_oligo_plate", None, "96-flat", discard=True)
diluted_oligo_wells = diluted_oligo_plate.wells_from(0, len(params.mutants))
water = [provision_to_tube(protocol, "water%s" % (i + 1), "micro-2.0", "rs17gmh5wafm5p", 1900)
for i in range(int(math.ceil(len(params.mutants)/float(9.5))))
]
protocol.transfer(water,
diluted_oligo_wells,
"200:microliter",
disposal_vol="0:microliter",
**transfer_kwargs(40, True, True))
mutants = [m for m in params.mutants if m]
mutants = sorted(mutants, key=lambda mutant: mutant["mutant_label"])
for i, m in enumerate(mutants):
for j, kin_oligo in enumerate(m["oligos"]):
if i == 0 and j == 0:
new_group = True
else:
new_group = False
index = next((i for i, olig in enumerate(oligo_containers) if olig.properties["sequence"] == kin_oligo["sequence"]), -1)
protocol.transfer(kinase_oligo_plate.well(index),
diluted_oligo_plate.well(i),
"2:microliter",
mix_after=True,
mix_vol="2:microliter",
new_group=new_group,
**transfer_kwargs(10))
protocol.cover(diluted_oligo_plate)
protocol.spin(diluted_oligo_plate, "700:meter/second^2", "2:minute")
protocol.uncover(diluted_oligo_plate)
# Anneal
annealing_plate = protocol.ref("annealing_oligo_plate", None, "384-pcr", storage="cold_20")
anneal_wells = annealing_plate.wells_from(0, len(params.mutants))
protocol.transfer(ssDNA_mix,
anneal_wells.wells,
"2.2:microliter",
dispense_speed="50:microliter/second",
**transfer_kwargs(7, True, True))
for i, oligo_reaction in enumerate(zip(diluted_oligo_wells.wells, anneal_wells.wells)):
protocol.transfer(oligo_reaction[0],
oligo_reaction[1],
"2:microliter",
aspirate_source=aspirate_source(depth("ll_bottom", distance=".001:meter")),
mix_after=True,
mix_vol="2:microliter",
flowrate="50:microliter/second",
repetitions=2,
new_group=det_new_group(i),
**transfer_kwargs(5))
protocol.seal(annealing_plate)
protocol.spin(annealing_plate, "700:meter/second^2", "2:minute")
protocol.thermocycle(annealing_plate, [{
"cycles": 1,
"steps": thermocycle_ramp("95:celsius", "25:celsius", "60:minute", "4:minute")
}],
volume="5:microliter",
dataref=None,
dyes=None)
# Step 4 - Polymerize
protocol.unseal(annealing_plate)
polymerize_MM = mix_plate.well(12)
reagents = {"buffer": ['rs17sh5rzz79ct', 0.6],
"t4ligase": ['rs16pc8krr6ag7', 0.4],
"t7polymerase": ['rs16pca2urcz74', 0.4],
"dntp": ['rs16pcb542c5rd', 0.4]
}
provision_reagents(reagents, polymerize_MM)
protocol.transfer(atp, polymerize_MM, "%s:microliter" % ((len(params.mutants) + 1) * 0.4 * add_mm), new_group=True)
for reaction in anneal_wells.wells:
protocol.transfer(polymerize_MM,
reaction,
"2.2:microliter",
mix_after=False,
**transfer_kwargs(10))
protocol.seal(annealing_plate)
protocol.incubate(annealing_plate, "ambient", "1.5:hour")
# Transformation using Zymo 10B Competent Cells
transformation_cells = []
for i in range(len(params["mutants"])):
transformation_cells.append(provision_to_tube(protocol, "cell_%s" % (i), "micro-1.5",
"rs16pbjc4r7vvz", 50))
num_colonies = params["num_colonies"]
assert len(params["mutants"]) * num_colonies <= 96, ("This protocol is limited to 96 sequenced colonies, please "
"submit additional runs if needed.")
transformation_plate = protocol.ref("transformation_plate", None, "96-pcr", discard=True)
protocol.incubate(transformation_plate, "cold_20", "10:minute")
transformation_wells = transformation_plate.wells_from(0, len(params.mutants), columnwise=False)
for i, tube in enumerate(transformation_cells):
protocol.transfer(tube, transformation_wells[i], "50:microliter", mix_after=False)
protocol.unseal(annealing_plate)
for i, rxt in enumerate(anneal_wells):
protocol.transfer(anneal_wells[i], transformation_wells[i], "2.0:microliter",
dispense_speed="10:microliter/second",
mix_after=False,
new_group=det_new_group(i))
protocol.cover(transformation_plate, lid="universal")
protocol.incubate(transformation_plate, "cold_4", "20:minute", shaking=False, co2=0)
protocol.uncover(transformation_plate)
agar_plates = []
assert len(mutants) == len(transformation_wells), ("Sanity check failed. There is an issue with the number of"
"mutants and the number of transformations.")
for well in range(0, len(transformation_wells), 6):
agar_plate = ref_kit_container(protocol,
"agar-%s_%d_%s" % (params["antibiotic"].split("_")[-1],
well + 1,
printdatetime(time=False)),
"6-flat",
return_media('solid')[params["antibiotic"]],
discard=False, store='cold_4')
agar_plates.append(agar_plate)
for i, well in enumerate(transformation_wells[well:well + 6]):
protocol.spread(well, agar_plate.well(i), "50:microliter")
protocol.incubate(agar_plate, "warm_37", "18:hour")
growth_plate = protocol.ref("growth_plate_%s" % printdatetime(time=False), None, "96-flat", discard=True)
cols = int(math.ceil(len(params.mutants) * num_colonies / float(8)))
columns = [{"column": i, "volume": "150:microliter"} for i in range(0, cols)]
protocol.dispense(growth_plate, return_media('liquid')[params["antibiotic"]], columns)
growth_wells = growth_plate.wells_from(0, num_colonies*len(params.mutants), columnwise=True)
i = 0
for k, plate in enumerate(agar_plates):
for j in range(6):
if plate.well(j).volume:
protocol.autopick(plate.well(j),
growth_wells[i:i+num_colonies],
min_count=1,
dataref=mutants[k * 6 + j]['mutant_label'])
i = i + num_colonies
protocol.cover(growth_plate, lid="low_evaporation")
protocol.incubate(growth_plate, "warm_37", "24:hour", shaking=True, co2=0)
protocol.uncover(growth_plate)
if params.t7pro:
seq_plate = protocol.ref("sequencing_plate_t7pro_%s" % printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0, num_colonies*len(params.mutants), columnwise=True)
t7pro_primer = protocol.ref("t7promoter",
cont_type="micro-1.5",
storage="cold_4")
protocol.provision("rs17tcpekfy7v9", t7pro_primer.well(0), "1:microliter")
protocol.provision("rs17gmh5wafm5p", t7pro_primer.well(0), "%s:microliter" % (num_colonies*(len(params.mutants)+2)))
protocol.transfer(growth_wells, seq_well_group, "30:microliter")
protocol.seal(seq_plate)
protocol.sangerseq(seq_plate, seq_well_group.indices(), "Seq_primer_T7promoter", type="rca", primer=t7pro_primer)
if params.t7term:
seq_plate = protocol.ref("sequencing_plate_t7term_%s" % printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0, num_colonies*len(params.mutants), columnwise=True)
t7term_primer = protocol.ref("t7terminator",
cont_type="micro-1.5",
storage="cold_4")
protocol.provision("rs17tcpwfbgzqd", t7term_primer.well(0), "1:microliter")
protocol.provision("rs17gmh5wafm5p", t7term_primer.well(0), "%s:microliter" % (num_colonies*(len(params.mutants)+2)))
protocol.transfer(growth_wells, seq_well_group, "30:microliter")
protocol.seal(seq_plate)
protocol.sangerseq(seq_plate, seq_well_group.indices(), "Seq_primer_t7terminator", type="rca", primer=t7term_primer)
if not (params.t7pro or params.t7term):
seq_plate = protocol.ref("sequencing_plate_%s" % printdatetime(time=False),
cont_type="96-pcr",
storage="cold_4")
seq_well_group = seq_plate.wells_from(0, num_colonies*len(params.mutants), columnwise=True)
j = 0
seq_primers = {}
mutant_well_table = {}
for seq_set in mutants:
seq_wells = WellGroup(seq_well_group[j:j+num_colonies])
protocol.transfer(growth_wells[j:j+num_colonies], seq_wells, "30:microliter")
if seq_set["sequencing_primer"] not in seq_primers:
seq_primers[seq_set["sequencing_primer"]] = seq_wells.indices()
mutant_well_table[seq_set["sequencing_primer"]] = {seq_set["mutant_label"]: seq_wells.indices()}
else:
seq_primers[seq_set["sequencing_primer"]].extend(seq_wells.indices())
if seq_set["mutant_label"] not in mutant_well_table[seq_set["sequencing_primer"]]:
mutant_well_table[seq_set["sequencing_primer"]].update({seq_set["mutant_label"]: seq_wells.indices()})
else:
mutant_well_table[seq_set["sequencing_primer"]][seq_set["mutant_label"]].extend(seq_wells.indices())
j += num_colonies
protocol.seal(seq_plate)
for primer, wells in seq_primers.iteritems():
dataref = "Seq_primer_%s" % (primer.container.name)
assert primer.volume - Unit("1.1", "microliter").__mul__(len(wells)) > Unit("0", "microliter"), "You must have at least 1.1uL of sequencing primer per reaction well."
protocol.sangerseq(seq_plate, wells, dataref, type="rca", primer=primer.container)
def bagel_assay(protocol, refs, params):
refs = make_dottable_dict(refs)
params = make_dottable_dict(params)
if params.make_substrate:
#thaw substrate tube
protocol.incubate(refs.substrate, "ambient", params.thaw_time)
# make substrate plate (might be useful to just make 144 of these,
# freeze them, and have them ready, rather than storing frozen substrate
protocol.distribute(refs.hepes.wells_from(0,7).set_volume('1000:microliter'),
refs.substrate_plate.wells_from("B1", 84), "75:microliter",
allow_carryover=True)
protocol.distribute(refs.substrate.well(0),
refs.substrate_plate.wells_from(0,12), '100:microliter',
allow_carryover=True)
# serial dilution
for row in [0, 12, 24, 36, 48]:
protocol.transfer(
refs.substrate_plate.wells_from(row, 12),
refs.substrate_plate.wells_from(row+12, 12),
'25:microliter',
mix_after=True,
mix_vol="75:microliter",
repetitions=2,
flowrate="150:microliter/second")
protocol.transfer(
refs.substrate_plate.wells_from('F1', 12), refs.trash.wells_from('A1', 12),
'25:microliter')
# reference reads for later
protocol.absorbance('substrate_plate',
refs.substrate_plate.wells_from(0, 96), '420:nanometer', 'bg1')
protocol.absorbance('substrate_plate',
refs.substrate_plate.wells_from(0, 96), '420:nanometer', 'bg2')
else:
#thaw a pre-made 96-well substrate plate
protocol.incubate('substrate_plate', 'ambient', '15:minute')
#aliquot mutants
for i,mutant in enumerate(params.mutants):
protocol.distribute(mutant, refs.enzyme.wells_from(i*24, 24,
columnwise=True), "25:microliter")
# initiate reaction
# how long will this take?
# ideally < 100 s
#protocol.transfer(
# refs.substrate_plate.all_wells(),
# refs.enzyme.all_wells(),
# '25:microliter',
# mix_after=True,
# mix_vol="25:microliter",
# repetitions=2, )
protocol.stamp( substrate_plate, enzyme, '75:microliter' )
# 20 reads
for i in range(1,21):
protocol.absorbance('enzyme', refs.enzyme.all_wells(),
'420:nanometer', 'data%s' % i)
protocol.incubate('enzyme', 'ambient', '30:second')
def bagel_assay(protocol, refs, params):
refs = make_dottable_dict(refs)
params = make_dottable_dict(params)
if params.make_substrate:
#thaw substrate tube
protocol.incubate(refs.substrate, "ambient", params.thaw_time)
# make substrate plate (might be useful to just make 144 of these,
# freeze them, and have them ready, rather than storing frozen substrate
protocol.distribute(refs.hepes.wells_from(
0, 7).set_volume('1000:microliter'),
refs.substrate_plate.wells_from("B1", 84),
"75:microliter",
allow_carryover=True)
protocol.distribute(refs.substrate.well(0),
refs.substrate_plate.wells_from(0, 12),
'100:microliter',
allow_carryover=True)
# serial dilution
for row in [0, 12, 24, 36, 48]:
protocol.transfer(refs.substrate_plate.wells_from(row, 12),
refs.substrate_plate.wells_from(row + 12, 12),
'25:microliter',
mix_after=True,
mix_vol="75:microliter",
repetitions=2,
flowrate="150:microliter/second")
protocol.transfer(refs.substrate_plate.wells_from('F1', 12),
refs.trash.wells_from('A1', 12), '25:microliter')
# reference reads for later
protocol.absorbance('substrate_plate',
refs.substrate_plate.wells_from(0, 96),
'420:nanometer', 'bg1')
protocol.absorbance('substrate_plate',
refs.substrate_plate.wells_from(0, 96),
'420:nanometer', 'bg2')
else:
#thaw a pre-made 96-well substrate plate
protocol.incubate('substrate_plate', 'ambient', '15:minute')
#aliquot mutants
for i, mutant in enumerate(params.mutants):
protocol.distribute(
mutant, refs.enzyme.wells_from(i * 24, 24, columnwise=True),
"25:microliter")
# initiate reaction
# how long will this take?
# ideally < 100 s
#protocol.transfer(
# refs.substrate_plate.all_wells(),
# refs.enzyme.all_wells(),
# '25:microliter',
# mix_after=True,
# mix_vol="25:microliter",
# repetitions=2, )
protocol.stamp(substrate_plate, enzyme, '75:microliter')
# 20 reads
for i in range(1, 21):
protocol.absorbance('enzyme', refs.enzyme.all_wells(), '420:nanometer',
'data%s' % i)
protocol.incubate('enzyme', 'ambient', '30:second')